US 7,995,388 B1Grant
Data storage using modified voltages
Issue Date:2011-08-09
•20 Claims
•5 Drawing Sheets
Abstract
A method for data storage includes storing data in a target analog memory cell, which is one of a group of analog memory cells that are connected in series with one another, by writing an input storage value into the target memory cell. A first read operation, which reads a first output storage value from the target memory cell while biasing the other memory cells with respective first pass voltages, is applied to the target memory cell. A second read operation, which reads a second output storage value from the target memory cell while biasing the other memory cells with respective second pass voltages, is applied to the target memory cell. At least one of the second pass voltages is different from a respective first pass voltage. The data is reconstructed responsively to the first and second output storage values.
Metadata
Assignee
- Anobit Technologies Ltd.
Inventors
- Shai Winter
- Ofir Shalvi
Application Information
Application Number:US 12/534,898
Filing Date:2009-08-04
Priority Date:2008-08-05
Art Unit:2827
Classifications
IPC:
G11C16/04
Patent Drawings (5 sheets)
Description
CROSS-REFERENCE TO RELATED APPLICATIONS
[0001] This application claims the benefit of U.S. Provisional Patent Application 61/086,225, filed Aug. 5, 2008, and U.S. Provisional Patent Application 61/187,676, filed Jun. 17, 2009, whose disclosures are incorporated herein by reference. This application is related to U.S. patent application Ser. No. 12/534,893, entitled “Improved Data Storage in Analog Memory Cells Using Modified Pass Voltages,” filed Aug. 4, 2009, whose disclosure is incorporated herein by reference.
FIELD OF THE INVENTION
[0002] The present invention relates generally to memory devices, and particularly to methods and systems for setting pass voltages in programming and readout of analog memory cells.
BACKGROUND OF THE INVENTION
[0003] Several types of memory devices, such as Flash memories, use arrays of analog memory cells for storing data. Each analog memory cell stores a quantity of an analog value, also referred to as a storage value, such as an electrical charge or voltage. This analog value represents the information stored in the cell. In Flash memories, for example, each analog memory cell holds a certain amount of electrical charge. The range of possible analog values is typically divided into intervals, each interval corresponding to one or more data bit values. Data is written to an analog memory cell by writing a nominal analog value that corresponds to the desired bit or bits.
[0004] Some memory devices, commonly referred to as Single-Level Cell (SLC) devices, store a single bit of information in each memory cell, i.e., each memory cell can be programmed to assume two possible programming levels. Higher-density devices, often referred to as Multi-Level Cell (MLC) devices, store two or more bits per memory cell, i.e., can be programmed to assume more than two possible programming levels.
SUMMARY OF THE INVENTION
[0005] An embodiment of the present invention provides a method for data storage, including:
[0006] storing data in a target analog memory cell, which is one of a group of analog memory cells that are connected in series with one another, by writing an input storage value into the target memory cell;
[0007] applying to the target memory cell a first read operation, which reads a first output storage value from the target memory cell while biasing the other memory cells in the group with respective first pass voltages;
[0008] applying to the target memory cell a second read operation, which reads a second output storage value from the target memory cell while biasing the other memory cells in the group with respective second pass voltages, wherein at least one of the second pass voltages applied to one of the other memory cells in the group is different from a respective first pass voltage applied to the one of the other memory cells; and
[0009] reconstructing the data responsively to the first and second output storage values.
[0010] In an embodiment, the analog memory cells include NAND Flash memory cells, and the group of the analog memory cells includes a NAND string. In a disclosed embodiment, applying the second read operation includes applying the different at least one of the second pass voltages to a memory cell that neighbors the target memory cell.
[0011] In some embodiments, the method includes making an assessment of whether the second output storage value has been distorted due to the at least one of the second pass voltages, and reconstructing the data includes recovering the data responsively to the assessment and to the first and second output storage values. In an embodiment, making the assessment includes reading third output storage values from one or more of the other memory cells in the group, and assessing whether the second output storage value has been distorted based on the third output storage values. In another embodiment, applying the second read operation includes reading the target memory cell using a first read voltage, and making the assessment includes reading a third storage value from the target memory cell using a second read voltage, higher than the first read voltage, while biasing the other memory cells in the group with the respective second pass voltages, and assessing whether the second output storage value has been distorted based on the third output storage value.
[0012] In another embodiment, recovering the data includes assigning the target memory cell a confidence level based on the assessment and the first and second output storage values, and decoding the data based on the confidence level. In a disclosed embodiment, storing the data includes encoding the data with an Error Correction Code (ECC), and decoding the data includes decoding the ECC based on the confidence level. In some embodiments, the method includes iteratively modifying the at least one of the second pass voltages applied during the second read operation, and repeating the assessment with respect to the modified at least one of the second pass voltages. In another embodiment, the method includes applying the second read operation and making the assessment only responsively to a failure to reconstruct the data based on the first read operation.
[0013] In some embodiments, the memory cells are included in a memory device, and applying the second read operation includes instructing the memory device, using a processor separate from the memory device, to apply the at least one of the second pass voltages.
[0014] There is additionally provided, in accordance with an embodiment of the present invention, a method for data storage, including:
[0015] erasing a group of analog memory cells by programming the memory cells in the group with negative storage values distributed in a first range;
[0016] after erasing the group of memory cells, modifying the storage values of the memory cells in the group to fall in a second range of negative storage values by biasing one or more neighboring groups of memory cells with respective preparatory pass voltages; and
[0017] storing data in the group of the analog memory cells while biasing the neighboring groups with respective nominal pass voltages, wherein at least one of the nominal pass voltages, which biases at least one of the neighboring groups, is different from a respective preparatory pass voltage applied to the at least one of the neighboring groups.
[0018] In some embodiments, the second range is narrower than the first range. In another embodiment, the at least one of the nominal pass voltages is greater than the respective preparatory pass voltage.
[0019] There is further provided, in accordance with an embodiment of the present invention, a method for data storage, including:
[0020] storing data in a target analog memory cell, which is one of a group of analog memory cells that are connected in series with one another, by writing an input storage value into the target memory cell;
[0021] after storing the data, reading an output storage value from the target memory cell using a read threshold that is settable at a first resolution, while biasing at least one of the memory cells in the group, other than the target memory cell, with a pass voltage; and
[0022] jointly setting the read threshold and the pass voltage so as to sense the output storage value at a second resolution, which is finer than the first resolution.
[0023] There is also provided, in accordance with an embodiment of the present invention, apparatus for data storage, including:
[0024] an interface, which is operative to communicate with a memory including a group of analog memory cells that are connected in series with one another; and
[0025] circuitry, which is configured to store data in a target analog memory cell in the group by writing an input storage value into the target memory cell, to apply to the target memory cell a first read operation, which reads a first output storage value from the target memory cell while biasing the other memory cells in the group with respective first pass voltages, to apply to the target memory cell a second read operation, which reads a second output storage value from the target memory cell while biasing the other memory cells in the group with respective second pass voltages, wherein at least one of the second pass voltages applied to one of the other memory cells in the group is different from a respective first pass voltage applied to the one of the other memory cells, and to reconstruct the data responsively to the first and second output storage values.
[0026] There is also provided, in accordance with an embodiment of the present invention, apparatus for data storage, including:
[0027] an interface, which is operative to communicate with a memory including a group of analog memory cells that are connected in series with one another; and
[0028] circuitry, which is configured to erase the group of the analog memory cells by programming the memory cells in the group with negative storage values distributed in a first range, to modify the storage values of the memory cells in the group after erasing the group to fall in a second range of negative storage values by biasing one or more neighboring groups of memory cells with respective preparatory pass voltages, and to store data in the group of the analog memory cells while biasing the neighboring groups with respective nominal pass voltages, wherein at least one of the nominal pass voltages, which biases at least one of the neighboring groups, is different from a respective preparatory pass voltage applied to the at least one of the neighboring groups.
[0029] There is additionally provided, in accordance with an embodiment of the present invention, apparatus for data storage, including:
[0030] an interface, which is operative to communicate with a memory including a group of analog memory cells that are connected in series with one another; and
[0031] circuitry, which is configured to store data in a target analog memory cell in the group by writing an input storage value into the target memory cell, to read, after storing the data, an output storage value from the target memory cell using a read threshold that is settable at a first resolution, while biasing at least one of the memory cells in the group, other than the target memory cell, with a pass voltage, and to jointly set the read threshold and the pass voltage so as to sense the output storage value at a second resolution, which is finer than the first resolution.
[0032] The present invention will be more fully understood from the following detailed description of the embodiments thereof, taken together with the drawings in which:
BRIEF DESCRIPTION OF THE DRAWINGS
[0033] FIG. 1 is a block diagram that schematically illustrates a memory system, in accordance with an embodiment of the present invention;
[0034] FIG. 2 is a circuit diagram that schematically illustrates an analog memory cell array, in accordance with an embodiment of the present invention;
[0035] FIG. 3 is a flow chart that schematically illustrates a method for data storage in analog memory cells, in accordance with an embodiment of the present invention;
[0036] FIG. 4 is a graph showing threshold voltage distributions in a group of analog memory cells, in accordance with an embodiment of the present invention;
[0037] FIGS. 5-7 are flow charts that schematically illustrate methods for reading analog memory cells, in accordance with embodiments of the present invention;
[0038] FIG. 8 is a flow chart that schematically illustrates a method for pre-programming analog memory cells, in accordance with an embodiment of the present invention; and
[0039] FIG. 9 is a flow chart that schematically illustrates a method for reading multi-level analog memory cells, in accordance with an embodiment of the present invention.
DETAILED DESCRIPTION OF EMBODIMENTS
Overview
[0040] Data is typically stored in analog memory cells by programming the cells to assume certain quantities of an analog value, also referred to as a storage value, such as an electrical charge or voltage. The analog value stored in the cell can be read by measuring the threshold voltage of the cell, which is defined as the minimal voltage that needs to be applied to the cells' gate in order to cause the cell to reach a given level of electrical conductance.
[0041] In many memory devices, analog memory cells are arranged in strings. Each string comprises a group of floating-gate memory cells that are connected source-to-drain in series with one another. This sort of configuration is common, for example, in NAND Flash devices. A particular memory cell can be read by (1) applying a read voltage to the cell's gate, (2) applying respective “pass voltages” to the other memory cells in the string, and (3) measuring the electrical conductance of the string. A memory cell that is read in a certain read operation is referred to herein as a target cell or a selected cell. The other cells in the string, to which the pass voltages are applied, are referred to herein as unselected cells.
[0042] Memory devices are often designed to read a plurality of target cells simultaneously (e.g., on the order of 32,000 cells in some NAND Flash devices), wherein each target cell belongs to a different string. The threshold voltage of a given memory cell within a string is sometimes defined as the minimal voltage, which needs to be applied to the cells' gate in order to cause the cell to reach a given level of electrical conductance, assuming the gates of the other cells in the string are biased with nominal pass voltages.
[0043] The pass voltages are usually selected to be sufficiently high so that the unselected memory cells in the string will conduct regardless of their charge levels. The read voltage, on the other hand, is typically set to a value lower than the pass voltage, and the value of the read voltage is chosen so that the conductance of the target cell will depend on the charge level of the target cell. In other words, the pass voltages and read voltage are selected so that the conductance of the string will reflect the charge level of the target cell in comparison with the read voltage, regardless of the charge levels of the unselected cells.
[0044] Embodiments of the present invention provide improved methods and systems for setting the values of pass voltages used in programming and data readout operations. These methods and systems improve the reading performance of analog memory cell devices.
[0045] In some embodiments, data is stored in the target memory cell using an iterative Programming and Verification (P&V) process. For at least one of the unselected cells in the string, the pass voltage applied during data readout is lower than the pass voltage applied during programming verification. Lowering the pass voltage during data readout has an effect of increasing the effective read voltage at the target cell's gate. This effect is important, for example, for reading memory cells that were initially programmed to positive threshold voltages but whose threshold voltages drifted over time and became negative. When the threshold voltage of a given memory cell drifts over time and becomes negative, reading this cell while applying reduced pass voltage to unselected cells enables reliable readout using positive read voltages.
[0046] In some cases, reducing the pass voltage creates a risk that some unselected cells will stop conducting, and will therefore modify the conductance of the string and distort the read operation. This risk applies particularly to memory cells that reach high threshold voltages, either intentionally or as a result of unintentional over-programming. In some embodiments, reduction of pass voltages is performed selectively, i.e., only to a subset of the unselected cells. Several methods for identifying cells or strings whose conductance is likely to be affected by pass voltage reduction are described herein.
[0047] Another technique that is described herein uses reduced pass voltages to pre-program memory cells to an intermediate programming state before data storage. This technique improves programming accuracy and reduces cross-coupling interference between memory cells. Yet another disclosed method improves the resolution of setting the read voltage by jointly setting the read voltage and pass voltages. In still another method, pass voltage values are set as a function of the read threshold used in the read operation, so as to increase the maximum achievable read voltage.
[0048] The methods described herein can be carried out by internal circuitry in the memory device, and/or by an external controller. In some embodiments, the memory device and memory controller support a command interface for instructing the memory device to apply the appropriate pass voltages.
System Description
[0049] FIG. 1 is a block diagram that schematically illustrates a memory system 20, in accordance with an embodiment of the present invention. System 20 can be used in various host systems and devices, such as in computing devices, cellular phones or other communication terminals, removable memory modules (“disk-on-key” devices), Solid State Disks (SSD), digital cameras, music and other media players and/or any other system or device in which data is stored and retrieved.
[0050] System 20 comprises a memory device 24, which stores data in a memory cell array 28. The memory array comprises multiple analog memory cells 32. In the context of the present patent application and in the claims, the term “analog memory cell” is used to describe any memory cell that holds a continuous, analog value of a physical parameter, such as an electrical voltage or charge. Array 32 may comprise analog memory cells of any kind, such as, for example, NAND, NOR and Charge Trap Flash (CTF) Flash cells, phase change RAM (PRAM, also referred to as Phase Change Memory—PCM), Nitride Read Only Memory (NROM), Ferroelectric RAM (FRAM), magnetic RAM (MRAM) and/or Dynamic RAM (DRAM) cells.
[0051] The charge levels stored in the cells and/or the analog voltages or currents written into and read out of the cells are referred to herein collectively as analog values or storage values. Although the embodiments described herein mainly address threshold voltages, the methods and systems described herein may be used with any other suitable kind of storage values.
[0052] System 20 stores data in the analog memory cells by programming the cells to assume respective memory states, which are also referred to as programming levels. The programming levels are selected from a finite set of possible levels, and each level corresponds to a certain nominal storage value. For example, a 2 bit/cell MLC can be programmed to assume one of four possible programming levels by writing one of four possible nominal storage values into the cell.
[0053] Memory device 24 comprises a reading/writing (R/W) unit 36, which converts data for storage in the memory device to analog storage values and writes them into memory cells 32. In alternative embodiments, the R/W unit does not perform the conversion, but is provided with voltage samples, i.e., with the storage values for storage in the cells. When reading data out of array 28, R/W unit 36 converts the storage values of memory cells into digital samples having a resolution of one or more bits. Data is typically written to and read from the memory cells in groups that are referred to as pages. In some embodiments, the R/W unit can erase a group of cells 32 by applying one or more negative erasure pulses to the cells.
[0054] The storage and retrieval of data in and out of memory device 24 is performed by a Memory Signal Processor (MSP) 40. MSP 40 comprises an interface 44 for communicating with memory device 24, and a signal processing unit 48, which processes the data that is written into and read from device 24. In some embodiments, unit 48 encodes the data for storage using a suitable Error Correction Code (ECC) and decodes the ECC of data retrieved from the memory. In some embodiments, unit 48 produces the storage values for storing in the memory cells and provides these values to R/W unit 36. Alternatively, unit 48 provides the data for storage, and the conversion to storage values is carried out by the R/W unit internally to the memory device. Alternatively to using an MSP, the methods described herein can be carried out by any suitable type of memory controller.
[0055] MSP 40 communicates with a host 52, for accepting data for storage in the memory device and for outputting data retrieved from the memory device. MSP 40, and in particular unit 48, may be implemented in hardware. Alternatively, MSP 40 may comprise a microprocessor that runs suitable software, or a combination of hardware and software elements.
[0056] The configuration of FIG. 1 is an exemplary system configuration, which is shown purely for the sake of conceptual clarity. Any other suitable memory system configuration can also be used. Elements that are not necessary for understanding the principles of the present invention, such as various interfaces, addressing circuits, timing and sequencing circuits and debugging circuits, have been omitted from the figure for clarity.
[0057] In the exemplary system configuration shown in FIG. 1 , memory device 24 and MSP 40 are implemented as two separate Integrated Circuits (ICs). In alternative embodiments, however, the memory device and the MSP may be integrated on separate semiconductor dies in a single Multi-Chip Package (MCP) or System on Chip (SoC), and may be interconnected by an internal bus. Further alternatively, some or all of the MSP circuitry may reside on the same die on which the memory array is disposed. Further alternatively, some or all of the functionality of MSP 40 can be implemented in software and carried out by a processor or other element of the host system. In some embodiments, host 44 and MSP 40 may be fabricated on the same die, or on separate dies in the same device package.
[0058] In an example configuration of array 28, memory cells 32 are arranged in multiple rows and columns, and each memory cell comprises a floating-gate transistor. The gates of the transistors in each row are connected by word lines, and the sources of the transistors in each column are connected by bit lines. In some embodiments, the transistors along each column are divided into serially-connected strings, as will be explained in detail further below.
[0059] The memory array is typically divided into multiple pages, i.e., groups of memory cells that are programmed and read simultaneously. Pages are sometimes sub-divided into sectors. In some embodiments, each page comprises an entire row of the array. In alternative embodiments, each row (word line) can be divided into two or more pages. For example, in some devices each row is divided into two pages, one comprising the odd-order cells and the other comprising the even-order cells. In a typical implementation, a two-bit-per-cell memory device may have four pages per row, a three-bit-per-cell memory device may have six pages per row, and a four-bit-per-cell memory device may have eight pages per row.
[0060] Erasing of cells is usually carried out in blocks that contain multiple pages. Typical memory devices may comprise several thousand erasure blocks. In a typical two-bit-per-cell MLC device, each erasure block is on the order of 32 word lines, each comprising several thousand cells. Each word line of such a device is often partitioned into four pages (odd/even order cells, least/most significant bit of the cells). Three-bit-per cell devices having 32 word lines per erasure block would have 192 pages per erasure block, and four-bit-per-cell devices would have 256 pages per block. Alternatively, other block sizes and configurations can also be used.
[0061] Some memory devices comprise two or more separate memory cell arrays, often referred to as planes. Since each plane has a certain “busy” period between successive write operations, data can be written alternately to the different planes in order to increase programming speed.
Memory Cell Strings and Word-Line Biasing
[0062] FIG. 2 is a circuit diagram that schematically illustrates an example implementation of memory cell array 28, in accordance with an embodiment of the present invention. In the present example, each memory cell comprises a floating gate Metal-Oxide Semiconductor (MOS) transistor 56. The memory cells in each column of array 28 (i.e., the memory cells of each bit line) are divided into groups, which are referred to as strings 60. Grouping of memory cells in strings is typical of NAND Flash memory devices, in which the strings are commonly referred to as NAND strings. A NAND string may comprise any suitable number of memory cells, e.g., thirty-two cells.
[0063] A certain amount of electrical charge (electrons or holes) can be stored in a particular cell by applying appropriate voltage levels to the transistor gate, source and drain. The value stored in the cell can be read by measuring the threshold voltage of the cell (denoted VTH), which is defined as the minimal voltage that needs to be applied to the gate of the transistor in order to cause the transistor to reach a given level of electrical conductance, assuming the gates of the other cells in the string are biased with nominal pass voltages. The read threshold voltage is indicative of the charge stored in the cell.
[0064] In each string 60, the memory cells (transistors 56) are connected source-to-drain in series with one another. The source of the first memory cell in the string is connected to the bit line via a string selection switch 68. The string selection switch is controlled by R/W unit 36, which typically closes the switch when accessing memory cells in the strings and opens the switch otherwise. (A given bit line is typically connected to multiple strings.) The drain of the last memory cell in the string is connected to ground. Gates 69 of the memory cells along each row of the array are connected to a respective word line 64. As can be seen in the figure, each memory cell in the row belongs to a different string.
[0065] R/W unit 36 typically reads the threshold voltage of a given memory cell (which represents the charge level, and thus the data stored in the cell) by:
-
- [0066] Applying a read voltage, denoted VT, to the word line to which the memory cell belongs. This word line is referred to as a selected word line or target word line.
- [0067] Applying a pass voltage, denoted VPASS, to the word lines to which the other memory cells in the string belong. These word lines are referred to as unselected word lines.
- [0068] Pre-charging the bit line in question.
- [0069] Connecting the string to which the memory cell belongs to the bit line using the appropriate string select switch 68.
- [0070] Measuring the electrical conductance of the string by allowing it to discharge and sensing the bit line current after a certain time period. The string conductance under these conditions is indicative of the charge level of the memory cell belonging to the selected word line.
[0071] This sort of read operation is typically applied in parallel to multiple cells along a given word line, often to the entire word line. Reading a memory cell by applying voltage VT forms a certain read threshold, and the result of the read operation indicates whether the threshold voltage of the read memory cell is lower than VT (in which case the string will conduct) or higher than VT (in which case the string will not conduct). The pass voltages VPASS are typically selected to be sufficiently high, so that the memory cells other than the cell being read will conduct regardless of their charge levels threshold voltages.
Programming and Reading Memory Cells with Different Pass Voltages
[0072] In some embodiments, R/W unit 36 programs a group of memory cells (e.g., an entire word line) by applying an iterative Programming and Verification (P&V) process. In such a process, the R/W unit applies to the word line a sequence of programming pulses, which gradually increase the charge levels of the programmed memory cells. After each programming iteration, the threshold voltages of the memory cells are sensed (verified). Cells that have reached their intended charge levels (threshold voltages) are inhibited from receiving subsequent programming pulses. In each iteration, the R/W unit applies programming pulses selectively. Typically, the R/W unit inhibits memory cells, which have already reached their intended charge levels, from being subjected to subsequent programming pulses.
[0073] Thus, R/W unit 36 may read the threshold voltages of memory cells in a given word line in two different scenarios:
-
- [0074] In order to retrieve the data stored in the cells, e.g., in response to a request from the MSP.
- [0075] In order to verify the charge levels of the cells, as part of an iterative programming process.
[0076] In some embodiments, R/W unit 36 uses certain values of VPASS for read operations that are intended to verify programmed charge levels, and lower VPASS values for read operations that are intended to retrieve data from the memory cells. This condition applies for at least one of the unselected word lines. In some scenarios that are demonstrated below, performing data retrieval using lower pass voltages than those used for programming verification can improve the readout performance, e.g., reduce the probability of read errors.
[0077] FIG. 3 is a flow chart that schematically illustrates a method for data storage in analog memory cells, in accordance with an embodiment of the present invention. The method begins with R/W unit 36 storing data in a group of memory cells along a certain word line using an iterative P&V process, at a programming step 70. When verifying the programmed charge levels of the memory cells, the R/W unit applies pass voltages denoted VPASS— P to the unselected word lines.
[0078] At a later point in time, the R/W unit is requested to retrieve the data stored in the group of memory cells. In response to the request, the R/W unit reads the threshold voltages of the memory cells in the group, at a retrieval step 72. During the data retrieval operation, the R/W unit applies pass voltages denoted VPASS— R to the unselected word lines.
[0079] For at least one of the word lines, the R/W unit uses a certain pass voltage for programming verification, and a lower pass voltage for data retrieval. (Generally, in a given verification or retrieval operation, VPASS values may differ from one unselected word line to another.) Thus, in other words, the R/W unit applies pass voltages to the unselected word lines during programming verification and data retrieval, such that VPASS— R<VPASS— P for at least one unselected word line.
[0080] FIG. 4 is a graph showing threshold voltage distributions in a group of analog memory cells along a certain word line, in accordance with an embodiment of the present invention. The example of FIG. 4 demonstrates the advantage of performing data retrieval using lower pass voltages. The present example refers to a group of four-level memory cells, each storing two bits of data. The techniques described herein can be used, however, in a similar manner with memory cells that store data in any desired number of programming levels, such as Single-Level Cells (SLC), eight-level cells or sixteen-level cells.
[0081] The top graph in FIG. 4 shows the distribution of threshold voltages in the group of memory cells shortly after programming. The four possible two-bit data combinations are represented by four respective programming levels, having respective threshold voltage distributions 80A . . . 80D. In a certain implementation, for example, a cell whose threshold voltage is in distribution 80A is regarded as holding the data “11”, a cell whose threshold voltage is in distribution 80B is regarded as holding the data “10”, a memory cell whose threshold voltage is in distribution 80C is regarded as holding the data “00”, and a memory cell whose threshold voltage is in distribution 80D is regarded as holding the data “01”. In some embodiments, distribution 80A, which occupies negative threshold voltages, also represents erased cells.
[0082] Typically, R/W 36 retrieves the data stored in the memory cells by comparing the cells' threshold voltages to one or more read thresholds. The R/W unit usually attempts to position the read thresholds in boundary regions between adjacent distributions, so as to differentiate between the programming levels. For example, a read threshold set at VTH=0V can differentiate between memory cells in distribution 80A and memory cells in distribution 80B, since distribution 80A occupies a range of positive threshold voltages and distribution 80B occupies a range of negative threshold voltages.
[0083] In many memory device implementations, the R/W unit can set only non-negative read thresholds. This limitation is usually not problematic immediately after programming, but may become problematic after a certain retention period of after neighboring word lines have been programmed. Consider, for example, the middle graph of FIG. 4 , which shows the threshold voltage distribution in the group of cells after a certain retention period. During the time that elapsed since the cells were programmed, the cell threshold voltages have drifted due to charge leakage from the cells. As a result, distributions 80A . . . 80D have changed to respective distributions 84A . . . 84D. As can be seen in the figure, distributions 84A . . . 84D have drifted to the left (i.e., have lower threshold voltages that the respective distributions 80A . . . 80D), and are also broader. In particular, the threshold voltages of some of the cells in distribution 84B (shown as a region 88) have drifted below VTH=0V and became negative.
[0084] (More strictly speaking, the horizontal axis of the middle graph of FIG. 4 (distributions 84A . . . 84D) denotes the (minimal) voltage that needs to be applied to the word line of the target cells in order to cause the string to conduct when VPASS— R=VPASS— P. The horizontal axis of the lower graph of FIG. 4 (distributions 92A . . . 92D) denotes the minimal voltage that needs to be applied to the word line of the target cells in order to cause the string to conduct when VPASS— R<VPASS— P.)
[0085] In this situation, a read threshold positioned at VTH=0V would not differentiate well between distributions 84A and 84B, because cells in distribution 84B whose threshold voltages are in region 88 would be erroneously associated with distribution 84A. Since R/W unit 36 is only able to use non-negative read thresholds, any read threshold setting would produce read errors. Similar broadening and/or shifting of threshold voltage distribution may also be caused by interference from other memory cells or by other kinds of impairments.
[0086] In order to retrieve the data successfully in the presence of such impairments, R/W unit 36 may reduce one or more of the pass voltages applied to the unselected word lines when reading the group of memory cells. Reducing the pass voltages applied to unselected word lines has an effect of shifting the threshold voltages of the cells in the selected word line.
[0087] This shifting effect can be modeled by an “effective read voltage” denoted VEFF, which depends on VPASS and may be negative. A possible relation between VEFF and VPASS is VEFF=VT+b·VPASS. VT denotes, as defined above, the read voltage applied to the selected word line. The effect of VPASS of the effective gate voltage may be caused, for example, by electrical coupling between word lines (and in particular neighboring word lines), by changes in the conductance of strings 60 as a function of VPASS, and/or by any other effect.
[0088] The effect of lowering the VPASS of unselected word lines is shown in the bottom graph of FIG. 4 . In this graph, distributions 92A . . . 92B show the threshold voltage distribution in the group of memory cells, after lowering the pass voltage of at least one unselected word line in comparison with the pass voltage used for programming verification. In other words, the group of memory cells was programmed and verified with VPASS values denoted VPASS— P to produce distributions 80A . . . 80D.
[0089] After retention, the memory cells are read while applying VPASS values denoted VPASS— R, wherein VPASS— R<VPASS— P for at least one of the unselected word lines. Distributions 92A . . . 92D show the threshold voltage distributions when the memory cells are read. As can be seen in the figure, applying the reduced VPASS values shifts the threshold voltage distributions in the positive direction (distributions 92A . . . 92D in comparison with distributions 88A . . . 88D). In particular, unlike distribution 84B, distribution 92B now occupies an interval of positive (or at least non-negative) threshold voltages. As a result, R/W unit 36 can now differentiate between distributions 92A and 92B by positioning a read threshold at VTH=0V. Since region 88 is eliminated, the stored data can be read with low error probability.
[0090] In some cases, applying VPASS— R<VPASS— P does not eliminate region 88 completely, i.e., does not shift distribution 92B entirely to the positive side of the threshold voltage axis. Still, even if region 88 is only reduced but not eliminated completely, applying VPASS— R<VPASS— P reduces the probability of read errors considerably.
[0091] In addition to improving reading performance, the above-described technique can be used for generally differentiating between erased memory cells (e.g., cell belonging to distribution 80A) and cells that were programmed to a positive threshold voltage (e.g., cells belonging to distribution 80B) but whose threshold voltages drifted and became negative. Assume, for example, that the pass voltage used in programming verification is 6V, that the pass voltage used in data retrieval is 5V, and that the effective read voltage can be modeled as VEFF=VT+b·VPASS. In such a case, reading with reduced pass voltages enables the R/W unit to effectively set a read threshold at -b volts.
Selective Application of Reduced Pass Voltages
[0092] As noted above, reading memory cells while applying reduced pass voltages to unselected word lines enables system 20 to recover threshold voltages that have drifted and became negative, and thus improve reading performance. On the other hand, reducing pass voltages indiscriminately may sometimes degrade the reading performance.
[0093] Consider, for example, a memory cell that belongs to an unselected word line and has a high threshold voltage. Such a memory cell may comprise, for example, a cell that was programmed to the programming level that is associated with the highest threshold voltages (e.g., distribution 80D in FIG. 4 ). In particular, such a cell may be over-programmed, i.e., programmed to an exceedingly high threshold voltage in comparison with other cells in the same programming level. Applying a reduced pass voltage to such a memory cell may reduce its conductance, because of the high threshold voltage of the cell. As a result, the conductance of the entire string may be affected, and the read operation may be distorted.
[0094] Thus, in some embodiments, R/W unit 36 applies reduced pass voltages to unselected word lines selectively. Reduced pass voltages are applied only to the memory cells whose conductance is unlikely to be affected by the pass voltage reduction. The pass voltages of the other cells (typically cells having high threshold voltages) are not reduced.
[0095] FIG. 5 is a flow chart that schematically illustrates a method for reading analog memory cells, in accordance with an embodiment of the present invention. The method addresses the task of reading a group of memory cells with a read threshold in the vicinity of VT=0V, e.g., a task of differentiation between distributions 80A and 80B in the example of FIG. 4 . The memory cells to be read are referred to as target cells, and the selected word line comprising these cells is also referred to as a target word line.
[0096] The method begins with R/W unit 36 reading the target cells, at a first reading step 96. This read operation is carried out by applying nominal pass voltages to the unselected word lines and applying VT=0V to the selected word line (i.e., to the target cells).
[0097] The R/W unit attempts to identify memory cells in the unselected word lines, whose conductance is likely to be affected (reduced) by reducing VPASS, at a second reading step 100. In order to identify these cells, the R/W unit reads the threshold voltages of the memory cells in one or more of the unselected word lines, typically word lines that neighbor the target word line. Based on the threshold voltages of the cells in the unselected word lines, the R/W unit identifies cells whose conductance is likely to be reduced as a result of reducing VPASS. For example, the R/W unit may regard cells whose threshold voltages are higher than a certain predefined value as likely to be affected. This predefined value may depend on the intended reduced VPASS value.
[0098] The R/W unit re-reads the target cells using reduced pass voltages, at a third reading step 104. The selected word line is read with VT=0V as in step 96 above. In the present read operation, however, the R/W unit applies reduced pass voltages to the unselected word lines. The third reading operation can be viewed, as explained above, as reading the target cells with VEFF<0V.
[0099] R/W unit 36 recovers the data stored in the target cells based on the results of the three read operations of steps 96-104 (which may generally be performed in any desired order), at a data recovery step 108. In other words, the R/W recovers the data of a given target cell based on (1) the read result of the target cell using nominal pass voltages, (2) the read result of the target cell using reduced pass voltages, and (3) the assessment as to whether at least one other cell in the string of the target cell is likely to distort the read operation that uses reduced pass voltages. The recovered data is typically output to MSP 40, and then to host 52. In some embodiments, step 108 can be performed by R/W unit 36 in the memory device. Alternatively, MSP 40 carries out step 108, i.e., recovers the data by using the results of the three read operations of steps 96, 100 and 104.
[0100] In some embodiments, the R/W unit classifies the target cells into four classes based on the results of the three read operations of steps 96-104:
-
- [0101] Class A: Target cells for which the first read operation concluded that VTH>0. For these cells, the second and third read operations usually do not contribute useful information.
- [0102] Class B: Target cells for which (1) the first read operation concluded that VTH<0, and (2) the second read operation identified at least one cell in the same string that is likely to be affected by reducing VPASS. For these cells, the third read operation (with reduced VPASS) typically cannot be relied upon. In other words, the threshold voltage of these cells is known to be negative, but they cannot be read reliably with reduced VPASS to determine whether they are higher or lower than VEFF.
- [0103] Class C: Target cell for which (1) the first read operation concluded that VTH<0, (2) the second read operation did not identify any cells in the same string that is likely to be affected by reducing VPASS, and (3) the third read operation concluded that VTH>VEFF. In other words, for these cells it is known that VEFF<VTH<0.
- [0104] Class D: Target cell for which (1) the first read operation concluded that VTH<0, (2) the second read operation did not identify any cells in the same string that is likely to be affected by reducing VPASS, and (3) the third read operation concluded that VTH<VEFF.In other words, for these cells it is known that VTH<VEFF<0.
[0105] The R/W unit recovers the data from a given target cell based on the class with which the target cell is associated. The R/W unit may apply any suitable decoding scheme that depends on the cell classification. In FIG. 4 above, for example, assume that distribution 80A (as well as 84A and 92A) is associated with a data value D1, and that distribution 80B (as well as 84B and 92B) is associated with a data value D2. The R/W unit may apply the following decoding logic:
[0106]
| TABLE 1 | ||
|---|---|---|
| Example decoding logic | ||
| Class of | ||
| target cell | Decoding decision | |
| A | D2, possibly with high confidence level | |
| B | D1, possibly with low confidence level | |
| C | D2, possibly with medium confidence | |
| level | ||
| D | D1, possibly with high confidence level | |
[0107] In some embodiments, the R/W unit assigns a certain confidence level to the read result of each target cell, based on the read operations using nominal and reduced VPASS, and on the assessment as to the likelihood of distortion caused by reducing VPASS. In the present example, the R/W unit assigns the confidence level based on the class with which the target cell is associated. The final decision as to the data stored in the target cells may depend on the respective confidence levels assigned to the cells. Various kinds of confidence levels, such as Likelihood Ratios (LRs) or Log-Likelihood Ratios (LLRs), can be used for this purpose.
[0108] In some embodiments, MSP 40 encodes the data with an Error Correction Code (ECC) before it is stored in memory device 24, and decodes the ECC of data retrieved from the memory device. In these embodiments, the ECC decoding process carried out by the MSP may consider the confidence levels assigned to the target cells. In other words, the values read from target cells having high confidence levels are given higher weight in the ECC decoding process, in comparison with values read from target cells having low confidence levels. In an example embodiment, target cells having low confidence levels are marked as “erasures,” i.e., missing values, to the ECC decoding process. The ECC decoding process decodes the ECC using the erasure indications. Some ECC types, e.g., Reed-Solomon (RS) codes, achieve considerably superior decoding performance when provided with erasure indications. Other ECC types operate on soft confidence levels, such as LLRs.
[0109] Alternatively, the R/W unit may select, for each cell, whether to use (output) the read result of step 96 or of step 104, based on the class with which the cell is associated.
[0110] FIG. 6 is a flow chart that schematically illustrates another method for reading analog memory cells, in accordance with an alternative embodiment of the present invention. This method differs from the method of FIG. 5 above in the way in which R/W unit 36 identifies which cells belong to strings that are likely to be affected by reducing VPASS.
[0111] The method of FIG. 6 begins with R/W unit 36 reading the target cells, at a reading step 110. As in step 96 of FIG. 5 above, in this read operation the R/W unit applies nominal pass voltages to the unselected word lines and VT=0V to the selected word line (i.e., to the target cells). The R/W unit re-reads the target cells using reduced pass voltages, at a re-reading step 114. In this read operation, the selected word line is read with VT=0V, and the unselected word lines are biased with reduced pass voltages. This reading operation can thus be viewed as reading the target cells with VEFF<0V.
[0112] The R/W unit attempts to identify one or more strings, whose conductance is likely to be affected (reduced) by reducing VPASS, at a string assessment step 118. In order to identify such strings, the R/W unit re-reads the target memory cells with a read voltage that is higher than 0V, i.e., using VT=V1>0V. The unselected word lines are biased with the reduced pass voltages during this read operation.
[0113] Assume that, for a given target cell, the R/W unit reads VTH<0 at step 110 (using nominal pass voltages and VT=0), but reads VTH>V1 at step 118 (using reduced pass voltages and VT=V1). This sort of result indicates that the string of this target cell contains at least one memory cell that stopped conducting as a result of reducing VPASS. Thus, R/W unit 36 may use this technique to identify strings whose conductance is likely to be affected (reduced) by reducing VPASS.
[0114] R/W unit 36 recovers the data stored in the target cells based on the results of the three read operations of steps 110-118 (which may be performed in any desired order), at a recovery step 122. In other words, the R/W recovers the data of a given target cell based on (1) the read result of the target cell using nominal pass voltages, (2) the read result of the target cell using reduced pass voltages, and (3) the assessment as to which strings are likely to distort the read operation that uses reduced pass voltages. The recovered data is typically output to MSP 40, and then provided to host 52.
[0115] In some embodiments, the R/W unit classifies the target cells into four classes based on the results of the three read operations of steps 110-118:
-
- [0116] Class A: Target cells for which the first read operation concluded that VTH>0.
- [0117] Class B: Target cells for which (1) the first read operation concluded that VTH<0, and (2) the third read operation concluded that VTH>V1.
- [0118] Class C: Target cell for which (1) the first read operation concluded that VTH<0, (2) the second read operation concluded that VTH>VEFF, and (3) the third read operation concluded that VTH<V1, i.e., that the string of the target cell is unlikely to stop conducting as a result of reducing VPASS. In other words, for these cells it is known that VEFF<VTH<0.
- [0119] Class D: Target cell for which (1) the first read operation concluded that VTH<0, (2) the second read operation concluded that VTH<VEFF, and (3) the third read operation concluded that VTH<V1, i.e., that the string of the target cell is unlikely to stop conducting as a result of reducing VPASS. In other words, for these cells it is known that VTH<VEFF<0.
[0120] In some embodiments, R/W unit 36 recovers the data from a given target cell based on the class with which the target cell is associated. The R/W unit may apply any suitable decoding scheme that depends on the cell classification, such as the decoding logic given in Table 1 above. In this example too, the R/W unit may assign respective confidence levels (e.g., LLRs) to the read results of the target cells based on the read operations using nominal and reduced VPASS, and on the assessment as to the likelihood of distortion caused by reducing VPASS. In particular, the R/W unit may assign a confidence level to a given target cell based on the class with which the cell is associated. The MSP may decode the data (e.g., apply ECC decoding) based on the confidence levels, as explained above. Alternatively, the R/W unit may select, for each cell, whether to use (output) the read result of step 110 or of step 114, based on the class with which the cell is associated.
[0121] In some embodiments, the R/W unit may carry out steps 114 and 118 of FIG. 6 using a single read operation, which uses two read thresholds simultaneously. For example, some MLC devices support a read command, which compares the cell storage values to two read thresholds simultaneously. The read results of this read command indicate whether each storage value falls below both read thresholds, above both read thresholds or between the two read thresholds. Thus, the R/W unit may carry out steps 114 and 118 jointly by setting one read threshold to VT=0V and the other to VT=V1. The unselected word lines are biased with reduced pass voltages during the read operation.
[0122] The methods of FIGS. 5 and 6 above can be applied in an iterative manner, in which the R/W unit reduces the VPASS value from one iteration to the next. This sort of process attempts to find the lowest VPASS values (and thus the lowest VEFF) for which the target cells can still be read reliably. The iterative process may be terminated (by the R/W unit or by the MSP) using any suitable stopping condition. For example, the R/W unit may stop lowering the pass voltages upon receiving an indication that the number of errors corrected by the ECC is too high, that ECC decoding has failed, or that an error detection code (e.g., Cyclic Redundancy check—CRC) has failed. As another example, the MSP or R/W unit may hold the (known or estimated) number of memory cells that were programmed to the negative programming state (e.g., in distribution 80A of FIG. 4 ), count the number of cells whose threshold voltages are currently negative (the cells in distribution 84A, plus the cells in region 88), and stop lowering pass voltages when the two numbers are sufficiently close to one another. This latter comparison can also be used for initiating the iterative process. As yet another example, the R/W unit may stop the iterative process when the number (or percentage) of non-conducting strings becomes too large, or after a predefined maximum number of iterations.
[0123] In some embodiments, system 20 may modify the pass voltages, either iteratively or not, only in response to a failure to reconstruct the data using the nominal pass voltages. Such a failure may be detected, for example, using ECC or CRC failure, or using any other suitable means.
[0124] The methods of FIGS. 5 and 6 may achieve reliable data readout with very low VPASS values. Consider, for example, an array of eight-level memory cells, which are programmed to threshold voltages in the range of 0-3V. The nominal pass voltage in such an array would be on the order of 5V, in order to minimize the likelihood that a cell in an unselected word line would stop conducting due to over-programming. The disclosed techniques enable the R/W unit to reduce the pass voltage to around 4V, while maintaining a very low probability that a cell in an unselected word line will stop conducting. Even when the pass voltage is reduced to 3V, the majority of the cells in the unselected word lines will conduct (with the exception of the cells that are intentionally programmed to threshold voltages around 3V and cells that suffer from severe over-programming). Thus, the majority of cells can be read reliably with a negative effective read voltage. In any case, the disclosed techniques fall back to the nominal pass voltages in the event that a string does stop conducting.
[0125] In alternative embodiments, system 20 may use any other suitable technique that includes:
[0126] 1. Reading a target memory cell while biasing the other memory cells in the string using nominal pass voltages.
[0127] 2. Re-reading the target memory cell while biasing the other memory cells in the string using modified pass voltages, at least one of which is different from the corresponding nominal pass voltage.
[0128] 3. Reconstructing the data based on the two read operations.
Setting Pass Voltages Based on Word Line Programming Status
[0129] In a typical N bits/cell MLC device, a given word line may be programmed with less than N bits per cell at a certain point in time. A memory cell or group of cells that are programmed with less than the maximum specified number of bits per cell is referred to as partially programmed. A memory cell or group of cells that are programmed with the maximum specified number of bits per cell is referred to as fully programmed.
[0130] Each MLC programming level (programming state) is associated with a certain range of threshold voltages (or other form of storage values). Typically, a partially-programmed word line does not occupy the (one or more) highest threshold voltage ranges. In the 2 bits/cell configuration of FIG. 4 , for example, a given word line can be partially programmed with only one bit per cell by populating only programming levels 80A and 80B. At a later point in time, this word line may be programmed with the second bit by populating all four programming levels 80A . . . 80D, thus reaching the full 2 bits/cell density. As can be appreciated, the memory cells of a partially-programmed word line typically have relatively low threshold voltages. Thus, a memory cell in a partially-programmed word line is extremely unlikely to be affected by reduced pass voltage.
[0131] In some embodiments, when intending to read a certain target word line, R/W unit 36 selects whether to apply a nominal or different (e.g., reduced) pass voltage to a given unselected word line based on the programming status of this word line. Partially-programmed unselected word lines can usually be biased with low pass voltages, with little or no risk of affecting string conductance. Fully-programmed unselected word lines have a higher probability of affecting string conductance, e.g., because of cell over-programming, and are therefore biased with nominal pass voltages. An erased word line is also regarded as partially programmed in this context.
[0132] FIG. 7 is a flow chart that schematically illustrates a method for reading analog memory cells, in accordance with an embodiment of the present invention. The method begins with R/W unit 36 checking whether a given unselected word line is erased or partially programmed, at a programming status checking step 130. If not, i.e., if the word line is fully programmed, the R/W unit applies a nominal VPASS value to the word line, at a nominal biasing step 134. If the word line is erased or partially programmed, the R/W unit applies a reduced VPASS value to the word line, at a reduced biasing step 138. R/W unit 36 typically repeats the process of steps 130-138 for each unselected word line. The R/W unit reads the target word line while the unselected word lines are biased with the appropriate pass voltages, at a reading step 142.
[0133] The method of FIG. 7 enables the memory device to reduce at least some of the pass voltages, with little or no effect on reading performance. Unlike the methods of FIGS. 5 and 6 above, selective application of reduced pass voltages can be performed without additional read operations. For example, the R/W unit or MSP may keep a record as to how many bits per cell are programmed in each word line.
Memory Cell Pre-Programming to Intermediate Negative Programming Level
[0134] In some embodiments, R/W unit 36 pre-programs the memory cells of a certain erased word line to an intermediate level before storing data in the cells. For example, the cells in an erased word line may have threshold voltages in the range of −4V to −1V. Before storing data in these cells, the R/W unit may pre-program the cells to an intermediate programming level having threshold voltages in the range of −1.5V to −0.5V. This intermediate level typically occupies a range of negative threshold voltages, and is usually more compact (narrower) that the erased level. The above-mentioned voltage ranges are given purely by way of example, and any other suitable values can be used.
[0135] Pre-programming memory cells to an intermediate level has a number of advantages. For example, since the intermediate level occupies higher threshold voltages and is more compact than the erased level, the additional threshold voltage gained during data programming is smaller and more accurate. Thus, the resulting threshold voltage distributions are typically narrower. In addition, when using a Programming and Verification (P&V) process, the P&V process inherently compensates for cross-coupling interference that is already present when the cells are programmed. When a neighboring word line of a certain target word line is pre-programmed to an intermediate level, it already contributes some cross-coupling interference to the target word line. When the target word line is programmed, this interference component is inherently compensated for.
[0136] On the other hand, pre-programming a group of memory cells to an intermediate negative level typically involves setting a verification threshold to a negative value. Setting a negative read threshold is often unfeasible in many memory device configurations. As explained above, however, applying reduced pass voltages to unselected word lines can be viewed as setting a negative read threshold. In some embodiments, the R/W unit pre-programs the memory cells in a certain target word line to an intermediate negative level, and verifies the pre-programming by applying different (e.g., reduced) pass voltages to one or more unselected word lines.
[0137] FIG. 8 is a flow chart that schematically illustrates a method for pre-programming a certain erased word line, in accordance with an embodiment of the present invention. The method begins with R/W unit 36 pre-programming the memory cells of the erased word line (referred to as a target word line) to an intermediate level of negative threshold voltages, at a pre-programming step 150. The R/W unit applies a read voltage of VT=0 to the erased word line, and VPASS=0 to one or more of the unselected word lines (usually neighboring word lines). Alternatively, any other suitable small positive values of VT and small positive values of VPASS can also be used, such as 4V. This sort of biasing is equivalent to biasing the unselected word lines with nominal pass voltages and setting a negative value of VT. After biasing the word lines, the R/W unit pre-programs the memory cells of the target word line, e.g., using an iterative P&V process.
[0138] The verification thresholds used in this programming process are non-negative, but are equivalent to negative verification thresholds due to the biasing scheme used. As a result, the cells of the target word line assume threshold voltages that fall in a relatively narrow range (e.g., −1.5V to −0.5V) of negative threshold voltages. At a later point in time, the R/W unit programs the pre-programmed word line with data, at a data programming step 158.
[0139] The pre-programming process of FIG. 8 may be performed at any stage during the memory cells' life cycle. In some embodiments, the target word line is pre-programmed before its neighboring word lines are programmed. At that stage, applying low VPASS values to the neighboring word lines is unlikely to affect string conductance.
Setting Pass Voltage as a Function of Read Voltage
[0140] Multi-level memory cells are typically read by performing multiple read operations using different read voltages (read thresholds) VT, which are positioned in the boundary regions between adjacent programming levels. In the configuration of FIG. 4 above, for example, the memory cells can be read using three read voltages. One read voltage would be positioned between distributions 92A and 92B, another read voltage would be positioned between distributions 92B and 92C, and a third read voltage would be positioned between distributions 92C and 92D.
[0141] In some embodiments, R/W unit 36 sets the VPASS values of at least one unselected word line depending on the read voltage VT. Typically although not necessarily, the VPASS value is increased as VT increases. In the configuration of FIG. 4 , for example, a read operation whose VT is between distributions 92C and 92D would use a larger VPASS value than a read operation whose VT is between distributions 92B and 92C. This dependence can be applied in data readout operations as well as in programming verification operations.
[0142] This technique is advantageous, for example, in memory devices in which the maximum value of VT that can be applied to a word line is limited. Such a limit may be caused, for example, by the word line biasing circuitry or for any other reason. In this sort of situation, increasing the VPASS of one or more unselected word lines as a function of VT can increase the effective read voltage VEFF beyond the maximum value of VT that can be applied to the selected word line. As a result, the achievable range of threshold voltages (“the threshold voltage window”) is not limited by the word line biasing circuitry and can be increased to improve performance.
[0143] The R/W unit may set the value of VPASS based on VT according to any suitable function or dependence. For example, the dependence may be linear, i.e., VPASS=V0+a·VT. When VEFF is given by VEFF=VT+b·VPASS, this linear dependence increases the threshold voltage range by a factor of 1+a·b. Alternatively, any other suitable dependence can also be used.
[0144] FIG. 9 is a flow chart that schematically illustrates a method for reading a word line of multi-level analog memory cells (referred to as a target word line), in accordance with an embodiment of the present invention. In this method, R/W unit 36 reads the multi-level cells by applying a sequence of read operation, each with a different read voltage.
[0145] The method begins with R/W unit 36 setting a read voltage VT for reading the target word line, at a read voltage setting step 160. The R/W unit sets the VPASS values of one or more unselected word lines (e.g., word lines that neighbor the target word line) based on the VT value to be used, at a pas voltage setting step 164. Any dependence of VPASS on VT, such as the linear dependence defined above, can be used. The R/W unit then reads the memory cells in the target word line using the set values of VPASS and VT, at a word line reading step 168.
[0146] The R/W unit checks whether additional read operations are to be performed as part of the multi-level read sequence, at a read completion checking step 172. If all read operations are completed, the R/W unit outputs the read results to MSP 40, at an output step 176, and the method terminates. Otherwise, the method loops back to step 160 above, in which the R/W unit prepares for the next read operation and sets the VT value accordingly.
Improving Read Voltage Resolution Using Pass Voltage Adjustment
[0147] In some embodiments, the read voltage (or read threshold) generation circuitry in R/W unit 36 is able to produce VT at a limited resolution. In these embodiments, the R/W unit can read memory cells in a certain word line at a finer resolution, by adjusting the pass voltages of one or more unselected word lines. In other words, when a read threshold is settable only at a certain resolution, the R/W unit jointly sets the read threshold and one or more pass voltages, so as to sense the cell threshold voltages at a finer resolution.
[0148] Consider, for example, a memory device that is able to generate read voltages (read thresholds) at 30 mV steps. In such a device, it may be desirable to check if a certain memory cell becomes conductive at VT=3.07V and VPASS=7V. Assume also that in this memory device the effective read voltage is given by VEFF=VT+0.1·VPASS. In order to produce equivalent conditions to VEFF=3.07V and VPASS=7V, the R/W unit may set VT=3V and VPASS=7.07V, or alternatively set VT=3.03V and VPASS=6.77V. In both cases, the effective read voltage is set at high resolution even though VT is set at 30 mV granularity.
Additional Embodiments and Variations
[0149] The methods described throughout this patent application manipulate the pass voltages of one or more unselected word lines, in order to read a certain selected (target) word line. In all of these methods, pass voltage adjustment can be applied to any desired subset of one or more unselected word lines. In some embodiments, pass voltage modification is applied to one or both word lines that are direct neighbors of the selected word line. Modifying the pass voltages of direct neighbors is often preferable because:
-
- [0150] The impact of the pass voltages of neighboring word lines on the effective read voltage of the target word line is usually dominant. The effect of more distant word lines is often weaker.
- [0151] Memory devices are often programmed in monotonic (ascending or descending) order of word lines. In some devices, the programming order alternates back and forth between word lines and applies partial programming at each stage. In either case, when a given word line is programmed and verified, one or both neighboring word lines are likely to be partially-programmed or not programmed at all. Applying reduced pass voltages to the partially-programmed word lines is unlikely to affect string conductance.
[0152] Nevertheless, pass voltage modification may be applied to any desired set of unselected word lines, or even to all word lines. Generally, different word lines may be biased with different or similar pass voltages, as desired.
[0153] In some cases, implementing circuitry that applies multiple different voltages to different word lines may complicate the design of the R/W unit and may also cause performance degradation (e.g., increase reading time). In an example embodiment, the R/W unit design can be simplified by applying the read voltage VT both to the selected (target) word line and to one or both neighbor word lines. Since VT is typically lower than the nominal VPASS, applying VT to an unselected word line is equivalent to reducing its pass voltage. Biasing a neighboring word line with VT has the advantage of eliminating the circuitry needed for generating an additional voltage value. This technique is particularly applicable when the neighbor word line is not yet programmed or partially-programmed, as explained above.
[0154] In the embodiments described herein, the VPASS modification process is carried out by R/W unit 36 internally to the memory device. This configuration was described, however, purely for the sake of conceptual clarity. The methods and systems described herein are in no way limited to implementation internally to the memory device circuitry. In alternative embodiments, some or all of the VPASS modification process can be carried out by MSP 40 or other controller that is separate from the memory device. For example, the MSP may determine the VPASS voltages to be applied in a given read operation and indicate these voltages to the memory device. In some embodiments, the memory device and MSP support a command interface, which comprises one or more commands that instruct the memory device to apply certain pass voltages. These commands may specify, for example, the pass voltages to be applied and/or the word lines to which they are to be applied. Any of the methods described in this patent application can be partitioned between the memory device and the MSP (or other controller, or the host) in any desired manner.
[0155] In some of the embodiments described herein, a group of memory cells are read with VT=0V and a reduced VPASS, because VT=0V is the lowest read voltage that can be set by the memory device. Some memory devices, however, may have a minimal VT that is somewhat larger than 0V. Thus, in alternative embodiments, the R/W unit may read the memory cells with VT=ε>0 and reduced VPASS, wherein ε denotes the minimum readable storage value, i.e., the lowest value of read voltage that is supported by the memory device circuitry.
[0156] Another possible way to increase the observable threshold voltage of a given target word line is to bias a neighboring word line with a pass voltage that is in the vicinity of its threshold voltage. Thus, in an embodiment, the R/W unit may read a target word line by (1) programming all the cells of a neighboring word line to a compact range of storage values, (2) biasing the neighboring word line with a pass voltage in the vicinity of this range, and (3) reading the target word line.
[0157] It will be appreciated that the embodiments described above are cited by way of example, and that the present invention is not limited to what has been particularly shown and described hereinabove. Rather, the scope of the present invention includes both combinations and sub-combinations of the various features described hereinabove, as well as variations and modifications thereof which would occur to persons skilled in the art upon reading the foregoing description and which are not disclosed in the prior art.
Claims
The invention claimed is:
1. A method for data storage, comprising:
storing data in a target analog memory cell, which is one of a group of analog memory cells that are connected in series with one another, by writing an input storage value into the target memory cell;
applying to the target memory cell a first read operation, which reads a first output storage value from the target memory cell while biasing the other memory cells in the group with respective first pass voltages;
applying to the target memory cell a second read operation, which reads a second output storage value from the target memory cell while biasing the other memory cells in the group with respective second pass voltages, wherein at least one of the second pass voltages applied to one of the other memory cells in the group is different from a respective first pass voltage applied to the one of the other memory cells;
making an assessment of whether the second output storage value has been distorted due to the at least one of the second pass voltages; and
reconstructing the data responsively to the assessment and to the first and second output storage values.
2. The method according to claim 1, wherein the analog memory cells comprise NAND Flash memory cells, and wherein the group of the analog memory cells comprises a NAND string.
3. The method according to claim 1, wherein applying the second read operation comprises applying the different at least one of the second pass voltages to a memory cell that neighbors the target memory cell.
4. The method according to claim 1, wherein making the assessment comprises reading third output storage values from one or more of the other memory cells in the group, and assessing whether the second output storage value has been distorted based on the third output storage values.
5. The method according to claim 1, wherein applying the second read operation comprises reading the target memory cell using a first read voltage, and wherein making the assessment comprises reading a third storage value from the target memory cell using a second read voltage, higher than the first read voltage, while biasing the other memory cells in the group with the respective second pass voltages, and assessing whether the second output storage value has been distorted based on the third output storage value.
6. The method according to claim 1, wherein recovering the data comprises assigning the target memory cell a confidence level based on the assessment and the first and second output storage values, and decoding the data based on the confidence level.
7. The method according to claim 6, wherein storing the data comprises encoding the data with an Error Correction Code (ECC), and wherein decoding the data comprises decoding the ECC based on the confidence level.
8. The method according to claim 1, and comprising iteratively modifying the at least one of the second pass voltages applied during the second read operation, and repeating the assessment with respect to the modified at least one of the second pass voltages.
9. The method according to claim 1, and comprising applying the second read operation and making the assessment only responsively to a failure to reconstruct the data based on the first read operation.
10. The method according to claim 1, wherein the memory cells are comprised in a memory device, and wherein applying the second read operation comprises instructing the memory device, using a processor separate from the memory device, to apply the at least one of the second pass voltages.
11. Apparatus for data storage, comprising:
an interface, which is operative to communicate with a memory comprising a group of analog memory cells that are connected in series with one another; and
circuitry, which is configured to store data in a target analog memory cell in the group by writing an input storage value into the target memory cell, to apply to the target memory cell a first read operation, which reads a first output storage value from the target memory cell while biasing the other memory cells in the group with respective first pass voltages, to apply to the target memory cell a second read operation, which reads a second output storage value from the target memory cell while biasing the other memory cells in the group with respective second pass voltages, wherein at least one of the second pass voltages applied to one of the other memory cells in the group is different from a respective first pass voltage applied to the one of the other memory cells, to make an assessment of whether the second output storage value has been distorted due to the at least one of the second pass voltages, and to reconstruct the data responsively to the assessment and to the first and second output storage values.
12. The apparatus according to claim 11, wherein the analog memory cells comprise NAND Flash memory cells, and wherein the group of the analog memory cells comprises a NAND string.
13. The apparatus according to claim 11, wherein the circuitry is configured to apply the different at least one of the second pass voltages to a memory cell that neighbors the target memory cell.
14. The apparatus according to claim 11, wherein the circuitry is configured to read third output storage values from one or more of the other memory cells in the group, and to assess whether the second output storage value has been distorted based on the third output storage values.
15. The apparatus according to claim 11, wherein the circuitry is configured to read the target memory cell in the second read operation using a first read voltage, to read a third storage value from the target memory cell using a second read voltage, higher than the first read voltage, while biasing the other memory cells in the group with the respective second pass voltages, and to assess whether the second output storage value has been distorted based on the third output storage value.
16. The apparatus according to claim 11, wherein the circuitry is configured to assign the target memory cell a confidence level based on the assessment and the first and second output storage values, and to decode the data based on the confidence level.
17. The apparatus according to claim 16, wherein the circuitry is configured to encode the stored data with an Error Correction Code (ECC), and to decode the ECC based on the confidence level.
18. The apparatus according to claim 11, wherein the circuitry is configured to iteratively modify the at least one of the second pass voltages applied during the second read operation, and to repeat the assessment with respect to the modified at least one of the second pass voltages.
19. The apparatus according to claim 11, wherein the circuitry is configured to apply the second read operation and make the assessment only responsively to a failure to reconstruct the data based on the first read operation.
20. The apparatus according to claim 11, wherein the circuitry comprises:
a Read/Write unit, which is comprised in a memory device comprising the memory cells; and
a processor, which is separate from the memory device and is configured to instruct the R/W unit to apply the at least one of the second pass voltages.
Patent Citations (454)
| Patent | Date | Inventor | Cited By |
|---|---|---|---|
| US4556961(A) | 1985-12-01 | Iwahashi et al. | Applicant |
| US4558431(A) | 1985-12-01 | Satoh | Applicant |
| US4661929(A) | 1987-04-01 | Aoki et al. | Applicant |
| US4768171(A) | 1988-08-01 | Tada | Applicant |
| US4811285(A) | 1989-03-01 | Walker et al. | Applicant |
| US4899342(A) | 1990-02-01 | Potter et al. | Applicant |
| US4910706(A) | 1990-03-01 | Hyatt | Applicant |
| US4993029(A) | 1991-02-01 | Galbraith et al. | Applicant |
| US5056089(A) | 1991-10-01 | Mehrotta et al. | Applicant |
| US5077722(A) | 1991-12-01 | Geist et al. | Applicant |
| US5126808(A) | 1992-06-01 | Montalvo et al. | Applicant |
| US5163021(A) | 1992-11-01 | Mehrotra et al. | Applicant |
| US5172338(A) | 1992-12-01 | Mehrotra et al. | Applicant |
| US5191584(A) | 1993-03-01 | Anderson | Applicant |
| US5200959(A) | 1993-04-01 | Gross et al. | Applicant |
| US5237535(A) | 1993-08-01 | Mielke et al. | Applicant |
| US5272669(A) | 1993-12-01 | Samachisa et al. | Applicant |
| US5276649(A) | 1994-01-01 | Hoshita et al. | Applicant |
| US5287469(A) | 1994-02-01 | Tsuboi | Applicant |
| US5365484(A) | 1994-11-01 | Cleveland et al. | Applicant |
| US5388064(A) | 1995-02-01 | Khan | Applicant |
| US5416646(A) | 1995-05-01 | Shirai | Applicant |
| US5416782(A) | 1995-05-01 | Wells et al. | Applicant |
| US5473753(A) | 1995-12-01 | Wells et al. | Applicant |
| US5479170(A) | 1995-12-01 | Cauwenberghs et al. | Applicant |
| US5508958(A) | 1996-04-01 | Fazio et al. | Applicant |
| US5519831(A) | 1996-05-01 | Holzhammer | Applicant |
| US5532962(A) | 1996-07-01 | Auclair et al. | Applicant |
| US5541886(A) | 1996-07-01 | Hasbun | Applicant |
| US5600677(A) | 1997-02-01 | Citta et al. | Applicant |
| US5657332(A) | 1997-08-01 | Auclair et al. | Applicant |
| US5675540(A) | 1997-10-01 | Roohparvar | Applicant |
| US5682352(A) | 1997-10-01 | Wong et al. | Applicant |
| US5696717(A) | 1997-12-01 | Koh | Applicant |
| US5726649(A) | 1998-03-01 | Tamaru et al. | Applicant |
| US5742752(A) | 1998-04-01 | De Koening | Applicant |
| US5751637(A) | 1998-05-01 | Chen et al. | Applicant |
| US5761402(A) | 1998-06-01 | Kaneda et al. | Applicant |
| US5798966(A) | 1998-08-01 | Keeney | Applicant |
| US5801985(A) | 1998-09-01 | Roohparvar et al. | Applicant |
| US5838832(A) | 1998-11-01 | Barnsley | Applicant |
| US5860106(A) | 1999-01-01 | Domen et al. | Applicant |
| US5867114(A) | 1999-02-01 | Barbir | Applicant |
| US5867429(A) | 1999-02-01 | Chen et al. | Applicant |
| US5877986(A) | 1999-03-01 | Harari et al. | Applicant |
| US5889937(A) | 1999-03-01 | Tamagawa | Applicant |
| US5901089(A) | 1999-05-01 | Korsh et al. | Applicant |
| US5909449(A) | 1999-06-01 | So et al. | Applicant |
| US5912906(A) | 1999-06-01 | Wu et al. | Applicant |
| US5930167(A) | 1999-07-01 | Lee et al. | Applicant |
| US5937424(A) | 1999-08-01 | Leak et al. | Applicant |
| US5942004(A) | 1999-08-01 | Cappelletti | Applicant |
| US5969986(A) | 1999-10-01 | Wong et al. | Examiner |
| US5991517(A) | 1999-11-01 | Harari et al. | Applicant |
| US5995417(A) | 1999-11-01 | Chen et al. | Applicant |
| US6009014(A) | 1999-12-01 | Hollmer et al. | Applicant |
| US6034891(A) | 2000-03-01 | Norman | Applicant |
| US6040993(A) | 2000-03-01 | Chen et al. | Applicant |
| US6041430(A) | 2000-03-01 | Yamauchi | Applicant |
| US6073204(A) | 2000-06-01 | Lakhani et al. | Applicant |
| US6101614(A) | 2000-08-01 | Gonzales et al. | Applicant |
| US6128237(A) | 2000-10-01 | Shirley et al. | Applicant |
| US6134140(A) | 2000-10-01 | Tanaka et al. | Applicant |
| US6134143(A) | 2000-10-01 | Norman | Applicant |
| US6134631(A) | 2000-10-01 | Jennings | Applicant |
| US6141261(A) | 2000-10-01 | Patti | Applicant |
| US6166962(A) | 2000-12-01 | Chen et al. | Applicant |
| US6178466(B1) | 2001-01-01 | Gilbertson et al. | Applicant |
| US6185134(B1) | 2001-02-01 | Tanaka et al. | Applicant |
| US6209113(B1) | 2001-03-01 | Roohparvar | Applicant |
| US6212654(B1) | 2001-04-01 | Lou et al. | Applicant |
| US6219276(B1) | 2001-04-01 | Parker | Applicant |
| US6219447(B1) | 2001-04-01 | Lee | Applicant |
| US6222762(B1) | 2001-04-01 | Guterman et al. | Applicant |
| US6230233(B1) | 2001-05-01 | Lofgren et al. | Applicant |
| US6240458(B1) | 2001-05-01 | Gilbertson | Applicant |
| US6275419(B1) | 2001-08-01 | Guterman et al. | Applicant |
| US6279069(B1) | 2001-08-01 | Robinson et al. | Applicant |
| US6288944(B1) | 2001-09-01 | Kawamura | Applicant |
| US6292394(B1) | 2001-09-01 | Cohen et al. | Applicant |
| US6301151(B1) | 2001-10-01 | Engh et al. | Applicant |
| US6304486(B1) | 2001-10-01 | Yano | Applicant |
| US6307776(B1) | 2001-10-01 | So et al. | Applicant |
| US6317363(B1) | 2001-11-01 | Guterman et al. | Applicant |
| US6317364(B1) | 2001-11-01 | Guterman et al. | Applicant |
| US6345004(B1) | 2002-02-01 | Omura et al. | Applicant |
| US6360346(B1) | 2002-03-01 | Miyauchi et al. | Applicant |
| US6363008(B1) | 2002-03-01 | Wong | Applicant |
| US6363454(B1) | 2002-03-01 | Lakhani et al. | Applicant |
| US6366496(B1) | 2002-04-01 | Torelli et al. | Applicant |
| US6396742(B1) | 2002-05-01 | Korsh et al. | Applicant |
| US6397364(B1) | 2002-05-01 | Barkan | Applicant |
| US6405323(B1) | 2002-06-01 | Lin et al. | Applicant |
| US6418060(B1) | 2002-07-01 | Yong et al. | Applicant |
| US6442585(B1) | 2002-08-01 | Dean et al. | Applicant |
| US6456528(B1) | 2002-09-01 | Chen | Applicant |
| US6466476(B1) | 2002-10-01 | Wong et al. | Applicant |
| US6467062(B1) | 2002-10-01 | Barkan | Applicant |
| US6469931(B1) | 2002-10-01 | Ban et al. | Applicant |
| US6522580(B2) | 2003-02-01 | Chen et al. | Applicant |
| US6525952(B2) | 2003-02-01 | Araki et al. | Applicant |
| US6532556(B1) | 2003-03-01 | Wong et al. | Applicant |
| US6538922(B1) | 2003-03-01 | Khalid et al. | Applicant |
| US6558967(B1) | 2003-05-01 | Wong | Applicant |
| US6560152(B1) | 2003-05-01 | Cernea | Applicant |
| US6577539(B2) | 2003-06-01 | Iwahashi | Applicant |
| US6584012(B2) | 2003-06-01 | Banks | Applicant |
| US6615307(B1) | 2003-09-01 | Roohparvar | Applicant |
| US6621739(B2) | 2003-09-01 | Gonzales et al. | Applicant |
| US6643169(B2) | 2003-11-01 | Rudelic et al. | Applicant |
| US6646913(B2) | 2003-11-01 | Micheloni et al. | Applicant |
| US6678192(B2) | 2004-01-01 | Gongwer et al. | Applicant |
| US6687155(B2) | 2004-02-01 | Nagasue | Applicant |
| US6707748(B2) | 2004-03-01 | Lin et al. | Applicant |
| US6708257(B2) | 2004-03-01 | Bao | Applicant |
| US6717847(B2) | 2004-04-01 | Chen | Applicant |
| US6731557(B2) | 2004-05-01 | Beretta | Applicant |
| US6738293(B1) | 2004-05-01 | Iwahashi | Applicant |
| US6751766(B2) | 2004-06-01 | Guterman et al. | Applicant |
| US6757193(B2) | 2004-06-01 | Chen et al. | Applicant |
| US6774808(B1) | 2004-08-01 | Hibbs et al. | Applicant |
| US6781877(B2) | 2004-08-01 | Cernea et al. | Applicant |
| US6807095(B2) | 2004-10-01 | Chen et al. | Applicant |
| US6809964(B2) | 2004-10-01 | Moschopoulos et al. | Applicant |
| US6829167(B2) | 2004-12-01 | Tu et al. | Applicant |
| US6845052(B1) | 2005-01-01 | Ho et al. | Applicant |
| US6851018(B2) | 2005-02-01 | Wyatt et al. | Applicant |
| US6856546(B2) | 2005-02-01 | Guterman et al. | Applicant |
| US6862218(B2) | 2005-03-01 | Guterman et al. | Applicant |
| US6870767(B2) | 2005-03-01 | Rudelic et al. | Applicant |
| US6894926(B2) | 2005-05-01 | Guterman et al. | Applicant |
| US6907497(B2) | 2005-06-01 | Hosono et al. | Applicant |
| US6930925(B2) | 2005-08-01 | Guo et al. | Applicant |
| US6934188(B2) | 2005-08-01 | Roohparvar | Applicant |
| US6937511(B2) | 2005-08-01 | Hsu et al. | Applicant |
| US6963505(B2) | 2005-11-01 | Cohen | Applicant |
| US6972993(B2) | 2005-12-01 | Conley et al. | Applicant |
| US6988175(B2) | 2006-01-01 | Lasser | Applicant |
| US6992932(B2) | 2006-01-01 | Cohen | Applicant |
| US7002843(B2) | 2006-02-01 | Guterman et al. | Applicant |
| US7012835(B2) | 2006-03-01 | Gonzales et al. | Applicant |
| US7020017(B2) | 2006-03-01 | Chen et al. | Applicant |
| US7023735(B2) | 2006-04-01 | Ban et al. | Applicant |
| US7031210(B2) | 2006-04-01 | Park et al. | Applicant |
| US7031214(B2) | 2006-04-01 | Tran | Applicant |
| US7031216(B2) | 2006-04-01 | You | Applicant |
| US7039846(B2) | 2006-05-01 | Hewitt et al. | Applicant |
| US7042766(B1) | 2006-05-01 | Wang et al. | Applicant |
| US7054193(B1) | 2006-05-01 | Wong | Applicant |
| US7054199(B2) | 2006-05-01 | Lee et al. | Applicant |
| US7057958(B2) | 2006-06-01 | So et al. | Applicant |
| US7065147(B2) | 2006-06-01 | Ophir et al. | Applicant |
| US7068539(B2) | 2006-06-01 | Guterman et al. | Applicant |
| US7071849(B2) | 2006-07-01 | Zhang | Applicant |
| US7079555(B2) | 2006-07-01 | Baydar et al. | Applicant |
| US7088615(B2) | 2006-08-01 | Guterman et al. | Applicant |
| US7099194(B2) | 2006-08-01 | Tu et al. | Applicant |
| US7102924(B2) | 2006-09-01 | Chen et al. | Applicant |
| US7113432(B2) | 2006-09-01 | Mokhlesi | Applicant |
| US7130210(B2) | 2006-10-01 | Bathul et al. | Applicant |
| US7139192(B1) | 2006-11-01 | Wong | Applicant |
| US7139198(B2) | 2006-11-01 | Guterman et al. | Applicant |
| US7151692(B2) | 2006-12-01 | Wu | Applicant |
| US7170802(B2) | 2007-01-01 | Cernea et al. | Applicant |
| US7173859(B2) | 2007-02-01 | Hemink | Applicant |
| US7177184(B2) | 2007-02-01 | Chen | Applicant |
| US7177195(B2) | 2007-02-01 | Gonzales et al. | Applicant |
| US7177199(B2) | 2007-02-01 | Chen et al. | Applicant |
| US7177200(B2) | 2007-02-01 | Ronen et al. | Applicant |
| US7184338(B2) | 2007-02-01 | Nakagawa et al. | Applicant |
| US7187195(B2) | 2007-03-01 | Kim | Applicant |
| US7187592(B2) | 2007-03-01 | Guterman et al. | Applicant |
| US7190614(B2) | 2007-03-01 | Wu | Applicant |
| US7193898(B2) | 2007-03-01 | Cernea | Applicant |
| US7193921(B2) | 2007-03-01 | Choi et al. | Applicant |
| US7196928(B2) | 2007-03-01 | Chen | Applicant |
| US7197594(B2) | 2007-03-01 | Raz et al. | Applicant |
| US7200062(B2) | 2007-04-01 | Kinsely et al. | Applicant |
| US7221592(B2) | 2007-05-01 | Nazarian | Applicant |
| US7224613(B2) | 2007-05-01 | Chen et al. | Applicant |
| US7231474(B1) | 2007-06-01 | Helms et al. | Applicant |
| US7231562(B2) | 2007-06-01 | Ohlhoff et al. | Applicant |
| US7243275(B2) | 2007-07-01 | Gongwer et al. | Applicant |
| US7254690(B2) | 2007-08-01 | Rao | Applicant |
| US7257027(B2) | 2007-08-01 | Park | Applicant |
| US7259987(B2) | 2007-08-01 | Chen et al. | Applicant |
| US7266026(B2) | 2007-09-01 | Gongwer et al. | Applicant |
| US7274611(B2) | 2007-09-01 | Roohparvar | Applicant |
| US7277355(B2) | 2007-10-01 | Tanzawa | Applicant |
| US7280398(B1) | 2007-10-01 | Lee et al. | Applicant |
| US7280409(B2) | 2007-10-01 | Misumi et al. | Applicant |
| US7289344(B2) | 2007-10-01 | Chen | Applicant |
| US7301807(B2) | 2007-11-01 | Khalid et al. | Applicant |
| US7301817(B2) | 2007-11-01 | Li et al. | Applicant |
| US7308525(B2) | 2007-12-01 | Lasser et al. | Applicant |
| US7310255(B2) | 2007-12-01 | Chan | Applicant |
| US7310272(B1) | 2007-12-01 | Mokhlesi et al. | Applicant |
| US7310347(B2) | 2007-12-01 | Lasser | Applicant |
| US7321509(B2) | 2008-01-01 | Chen et al. | Applicant |
| US7342831(B2) | 2008-03-01 | Mokhlesi et al. | Applicant |
| US7345928(B2) | 2008-03-01 | Li | Applicant |
| US7349263(B2) | 2008-03-01 | Kim et al. | Applicant |
| US7356755(B2) | 2008-04-01 | Fackenthal | Applicant |
| US7363420(B2) | 2008-04-01 | Lin et al. | Applicant |
| US7388781(B2) | 2008-06-01 | Litsyn et al. | Applicant |
| US7397697(B2) | 2008-07-01 | So et al. | Applicant |
| US7408804(B2) | 2008-08-01 | Hemink et al. | Applicant |
| US7408810(B2) | 2008-08-01 | Aritome et al. | Applicant |
| US7409473(B2) | 2008-08-01 | Conley et al. | Applicant |
| US7420847(B2) | 2008-09-01 | Li | Applicant |
| US7433231(B2) | 2008-10-01 | Aritome | Applicant |
| US7437498(B2) | 2008-10-01 | Ronen | Applicant |
| US7440324(B2) | 2008-10-01 | Mokhlesi | Applicant |
| US7441067(B2) | 2008-10-01 | Gorobetz et al. | Applicant |
| US7453737(B2) | 2008-11-01 | Ha | Applicant |
| US7460410(B2) | 2008-12-01 | Nagai et al. | Applicant |
| US7460412(B2) | 2008-12-01 | Lee et al. | Applicant |
| US7466592(B2) | 2008-12-01 | Mitani et al. | Applicant |
| US7468907(B2) | 2008-12-01 | Kang et al. | Applicant |
| US7468911(B2) | 2008-12-01 | Lutze et al. | Applicant |
| US7471581(B2) | 2008-12-01 | Tran et al. | Applicant |
| US7492641(B2) | 2009-02-01 | Hosono et al. | Applicant |
| US7508710(B2) | 2009-03-01 | Mokhlesi | Applicant |
| US7539062(B2) | 2009-05-01 | Doyle | Applicant |
| US7551492(B2) | 2009-06-01 | Kim | Applicant |
| US7568135(B2) | 2009-07-01 | Cornwell et al. | Applicant |
| US7570520(B2) | 2009-08-01 | Kamei et al. | Applicant |
| US7593259(B2) | 2009-09-01 | Kim et al. | Applicant |
| US7596707(B1) | 2009-09-01 | Vemula | Applicant |
| US7631245(B2) | 2009-12-01 | Lasser | Applicant |
| US7633798(B2) | 2009-12-01 | Sarin et al. | Applicant |
| US7633802(B2) | 2009-12-01 | Mokhlesi | Applicant |
| US7656734(B2) | 2010-02-01 | Thorp et al. | Applicant |
| US7660158(B2) | 2010-02-01 | Aritome | Applicant |
| US7660183(B2) | 2010-02-01 | Ware et al. | Applicant |
| US7742351(B2) | 2010-06-01 | Inoue et al. | Applicant |
| US7761624(B2) | 2010-07-01 | Karamchetti et al. | Applicant |
| US7810017(B2) | 2010-10-01 | Radke | Applicant |
| US7885119(B2) | 2011-02-01 | Li | Applicant |
| US2001/0002172(A1) | 2001-05-01 | Tanaka et al. | Applicant |
| US2001/0006479(A1) | 2001-07-01 | Ikehashi et al. | Applicant |
| US2002/0038440(A1) | 2002-03-01 | Barkan | Applicant |
| US2002/0118574(A1) | 2002-08-01 | Gongwer et al. | Applicant |
| US2002/0133684(A1) | 2002-09-01 | Anderson | Applicant |
| US2002/0174295(A1) | 2002-11-01 | Ulrich et al. | Applicant |
| US2002/0196510(A1) | 2002-12-01 | Hietala et al. | Applicant |
| US2003/0002348(A1) | 2003-01-01 | Chen et al. | Applicant |
| US2003/0103400(A1) | 2003-06-01 | Van Tran | Applicant |
| US2003/0161183(A1) | 2003-08-01 | Van Tran | Applicant |
| US2003/0189856(A1) | 2003-10-01 | Cho et al. | Applicant |
| US2004/0057265(A1) | 2004-03-01 | Mirabel et al. | Applicant |
| US2004/0057285(A1) | 2004-03-01 | Cernea et al. | Applicant |
| US2004/0083333(A1) | 2004-04-01 | Chang et al. | Applicant |
| US2004/0083334(A1) | 2004-04-01 | Chang et al. | Applicant |
| US2004/0105311(A1) | 2004-06-01 | Cernea et al. | Applicant |
| US2004/0114437(A1) | 2004-06-01 | Li | Applicant |
| US2004/0160842(A1) | 2004-08-01 | Fukiage | Applicant |
| US2004/0223371(A1) | 2004-11-01 | Roohparvar | Applicant |
| US2005/0007802(A1) | 2005-01-01 | Gerpheide | Applicant |
| US2005/0013165(A1) | 2005-01-01 | Ban | Applicant |
| US2005/0024941(A1) | 2005-02-01 | Lasser et al. | Applicant |
| US2005/0024978(A1) | 2005-02-01 | Ronen | Applicant |
| US2005/0086574(A1) | 2005-04-01 | Fackenthal | Applicant |
| US2005/0121436(A1) | 2005-06-01 | Kamitani et al. | Applicant |
| US2005/0157555(A1) | 2005-07-01 | Ono et al. | Applicant |
| US2005/0162913(A1) | 2005-07-01 | Chen | Applicant |
| US2005/0169051(A1) | 2005-08-01 | Khalid et al. | Applicant |
| US2005/0189649(A1) | 2005-09-01 | Maruyama et al. | Applicant |
| US2005/0213393(A1) | 2005-09-01 | Lasser | Applicant |
| US2005/0224853(A1) | 2005-10-01 | Ohkawa | Applicant |
| US2005/0240745(A1) | 2005-10-01 | Iyer et al. | Applicant |
| US2005/0243626(A1) | 2005-11-01 | Ronen | Applicant |
| US2006/0004952(A1) | 2006-01-01 | Lasser | Applicant |
| US2006/0028875(A1) | 2006-02-01 | Avraham et al. | Applicant |
| US2006/0028877(A1) | 2006-02-01 | Meir | Applicant |
| US2006/0101193(A1) | 2006-05-01 | Murin | Applicant |
| US2006/0107136(A1) | 2006-05-01 | Gongwer et al. | Applicant |
| US2006/0129750(A1) | 2006-06-01 | Lee et al. | Applicant |
| US2006/0133141(A1) | 2006-06-01 | Gorobets | Applicant |
| US2006/0156189(A1) | 2006-07-01 | Tomlin | Applicant |
| US2006/0179334(A1) | 2006-08-01 | Brittain et al. | Applicant |
| US2006/0190699(A1) | 2006-08-01 | Lee | Applicant |
| US2006/0203546(A1) | 2006-09-01 | Lasser | Applicant |
| US2006/0218359(A1) | 2006-09-01 | Sanders et al. | Applicant |
| US2006/0221692(A1) | 2006-10-01 | Chen | Applicant |
| US2006/0221705(A1) | 2006-10-01 | Hemink et al. | Applicant |
| US2006/0221714(A1) | 2006-10-01 | Li et al. | Applicant |
| US2006/0239077(A1) | 2006-10-01 | Park et al. | Applicant |
| US2006/0239081(A1) | 2006-10-01 | Roohparvar | Applicant |
| US2006/0256620(A1) | 2006-11-01 | Nguyen et al. | Applicant |
| US2006/0256626(A1) | 2006-11-01 | Werner et al. | Applicant |
| US2006/0256891(A1) | 2006-11-01 | Yuan et al. | Applicant |
| US2006/0271748(A1) | 2006-11-01 | Jain et al. | Applicant |
| US2006/0285392(A1) | 2006-12-01 | Incarnati et al. | Applicant |
| US2006/0285396(A1) | 2006-12-01 | Ha | Applicant |
| US2007/0006013(A1) | 2007-01-01 | Moshayedi et al. | Applicant |
| US2007/0019481(A1) | 2007-01-01 | Park | Applicant |
| US2007/0033581(A1) | 2007-02-01 | Tomlin et al. | Applicant |
| US2007/0047314(A1) | 2007-03-01 | Goda et al. | Applicant |
| US2007/0047326(A1) | 2007-03-01 | Nguyen et al. | Applicant |
| US2007/0050536(A1) | 2007-03-01 | Kolokowsky | Applicant |
| US2007/0058446(A1) | 2007-03-01 | Hwang et al. | Applicant |
| US2007/0061502(A1) | 2007-03-01 | Lasser et al. | Applicant |
| US2007/0067667(A1) | 2007-03-01 | Ikeuchi et al. | Applicant |
| US2007/0074093(A1) | 2007-03-01 | Lasser | Applicant |
| US2007/0086239(A1) | 2007-04-01 | Litsyn et al. | Applicant |
| US2007/0086260(A1) | 2007-04-01 | Sinclair | Applicant |
| US2007/0089034(A1) | 2007-04-01 | Litsyn et al. | Applicant |
| US2007/0091677(A1) | 2007-04-01 | Lasser et al. | Applicant |
| US2007/0091694(A1) | 2007-04-01 | Lee et al. | Applicant |
| US2007/0103978(A1) | 2007-05-01 | Conley et al. | Applicant |
| US2007/0103986(A1) | 2007-05-01 | Chen | Applicant |
| US2007/0109845(A1) | 2007-05-01 | Chen | Applicant |
| US2007/0109849(A1) | 2007-05-01 | Chen | Applicant |
| US2007/0115726(A1) | 2007-05-01 | Cohen et al. | Applicant |
| US2007/0118713(A1) | 2007-05-01 | Guterman et al. | Applicant |
| US2007/0143378(A1) | 2007-06-01 | Gorobetz | Applicant |
| US2007/0143531(A1) | 2007-06-01 | Atri | Applicant |
| US2007/0159889(A1) | 2007-07-01 | Kang et al. | Applicant |
| US2007/0159892(A1) | 2007-07-01 | Kang et al. | Applicant |
| US2007/0159907(A1) | 2007-07-01 | Kwak | Applicant |
| US2007/0168837(A1) | 2007-07-01 | Murin | Applicant |
| US2007/0171714(A1) | 2007-07-01 | Wu et al. | Applicant |
| US2007/0183210(A1) | 2007-08-01 | Choi et al. | Applicant |
| US2007/0189073(A1) | 2007-08-01 | Aritome | Applicant |
| US2007/0195602(A1) | 2007-08-01 | Fong et al. | Applicant |
| US2007/0206426(A1) | 2007-09-01 | Mokhlesi | Applicant |
| US2007/0208904(A1) | 2007-09-01 | Hsieh et al. | Applicant |
| US2007/0226599(A1) | 2007-09-01 | Motwani | Applicant |
| US2007/0236990(A1) | 2007-10-01 | Aritome | Applicant |
| US2007/0253249(A1) | 2007-11-01 | Kang et al. | Applicant |
| US2007/0256620(A1) | 2007-11-01 | Viggiano et al. | Applicant |
| US2007/0266232(A1) | 2007-11-01 | Rodgers et al. | Applicant |
| US2007/0271424(A1) | 2007-11-01 | Lee et al. | Applicant |
| US2007/0280000(A1) | 2007-12-01 | Fujiu et al. | Applicant |
| US2007/0291571(A1) | 2007-12-01 | Balasundaram | Applicant |
| US2007/0297234(A1) | 2007-12-01 | Cernea et al. | Applicant |
| US2008/0010395(A1) | 2008-01-01 | Mylly et al. | Applicant |
| US2008/0025121(A1) | 2008-01-01 | Tanzawa | Applicant |
| US2008/0043535(A1) | 2008-02-01 | Roohparvar | Applicant |
| US2008/0049504(A1) | 2008-02-01 | Kasahara et al. | Applicant |
| US2008/0049506(A1) | 2008-02-01 | Guterman | Applicant |
| US2008/0052446(A1) | 2008-02-01 | Lasser et al. | Applicant |
| US2008/0055993(A1) | 2008-03-01 | Lee | Applicant |
| US2008/0080243(A1) | 2008-04-01 | Edahiro et al. | Applicant |
| US2008/0082730(A1) | 2008-04-01 | Kim et al. | Applicant |
| US2008/0089123(A1) | 2008-04-01 | Chae et al. | Applicant |
| US2008/0104309(A1) | 2008-05-01 | Cheon et al. | Applicant |
| US2008/0104312(A1) | 2008-05-01 | Lasser | Applicant |
| US2008/0109590(A1) | 2008-05-01 | Jung et al. | Applicant |
| US2008/0115017(A1) | 2008-05-01 | Jacobson | Applicant |
| US2008/0123420(A1) | 2008-05-01 | Brandman et al. | Applicant |
| US2008/0126686(A1) | 2008-05-01 | Sokolov et al. | Applicant |
| US2008/0130341(A1) | 2008-06-01 | Shalvi et al. | Applicant |
| US2008/0148115(A1) | 2008-06-01 | Sokolov et al. | Applicant |
| US2008/0151618(A1) | 2008-06-01 | Sharon et al. | Applicant |
| US2008/0151667(A1) | 2008-06-01 | Miu et al. | Applicant |
| US2008/0158958(A1) | 2008-07-01 | Sokolov et al. | Applicant |
| US2008/0181001(A1) | 2008-07-01 | Shalvi | Applicant |
| US2008/0198650(A1) | 2008-08-01 | Shalvi et al. | Applicant |
| US2008/0198654(A1) | 2008-08-01 | Toda | Examiner |
| US2008/0209116(A1) | 2008-08-01 | Caulkins | Applicant |
| US2008/0209304(A1) | 2008-08-01 | Winarski et al. | Applicant |
| US2008/0217598(A1) | 2008-09-01 | Sharon et al. | Applicant |
| US2008/0219050(A1) | 2008-09-01 | Shalvi et al. | Applicant |
| US2008/0239093(A1) | 2008-10-01 | Easwar et al. | Applicant |
| US2008/0239812(A1) | 2008-10-01 | Abiko et al. | Applicant |
| US2008/0253188(A1) | 2008-10-01 | Aritome | Applicant |
| US2008/0263262(A1) | 2008-10-01 | Sokolov et al. | Applicant |
| US2008/0282106(A1) | 2008-11-01 | Shalvi et al. | Applicant |
| US2009/0013233(A1) | 2009-01-01 | Radke | Applicant |
| US2009/0024905(A1) | 2009-01-01 | Shalvi et al. | Applicant |
| US2009/0034337(A1) | 2009-02-01 | Aritome | Applicant |
| US2009/0043831(A1) | 2009-02-01 | Antonopoulos et al. | Applicant |
| US2009/0043951(A1) | 2009-02-01 | Shalvi et al. | Applicant |
| US2009/0049234(A1) | 2009-02-01 | Oh et al. | Applicant |
| US2009/0073762(A1) | 2009-03-01 | Lee et al. | Applicant |
| US2009/0086542(A1) | 2009-04-01 | Lee et al. | Applicant |
| US2009/0089484(A1) | 2009-04-01 | Chu | Applicant |
| US2009/0091979(A1) | 2009-04-01 | Shalvi | Applicant |
| US2009/0094930(A1) | 2009-04-01 | Schwoerer | Applicant |
| US2009/0106485(A1) | 2009-04-01 | Anholt | Applicant |
| US2009/0112949(A1) | 2009-04-01 | Ergan et al. | Applicant |
| US2009/0132755(A1) | 2009-05-01 | Radke | Applicant |
| US2009/0144600(A1) | 2009-06-01 | Perlmutter et al. | Applicant |
| US2009/0150894(A1) | 2009-06-01 | Huang et al. | Applicant |
| US2009/0157950(A1) | 2009-06-01 | Selinger | Applicant |
| US2009/0157964(A1) | 2009-06-01 | Kasorla et al. | Applicant |
| US2009/0158126(A1) | 2009-06-01 | Perlmutter et al. | Applicant |
| US2009/0168524(A1) | 2009-07-01 | Golov et al. | Applicant |
| US2009/0172257(A1) | 2009-07-01 | Prins et al. | Applicant |
| US2009/0172261(A1) | 2009-07-01 | Prins et al. | Applicant |
| US2009/0199074(A1) | 2009-08-01 | Sommer et al. | Applicant |
| US2009/0204824(A1) | 2009-08-01 | Lin et al. | Applicant |
| US2009/0204872(A1) | 2009-08-01 | Yu et al. | Applicant |
| US2009/0213653(A1) | 2009-08-01 | Perlmutter et al. | Applicant |
| US2009/0213654(A1) | 2009-08-01 | Perlmutter et al. | Applicant |
| US2009/0225595(A1) | 2009-09-01 | Kim | Applicant |
| US2009/0228761(A1) | 2009-09-01 | Perlmutter et al. | Applicant |
| US2009/0240872(A1) | 2009-09-01 | Perlmutter et al. | Applicant |
| US2009/0265509(A1) | 2009-10-01 | Klein | Applicant |
| US2009/0300227(A1) | 2009-12-01 | Nochimowski et al. | Applicant |
| US2009/0323412(A1) | 2009-12-01 | Mokhlesi et al. | Applicant |
| US2009/0327608(A1) | 2009-12-01 | Eschmann | Applicant |
| US2010/0017650(A1) | 2010-01-01 | Chin et al. | Applicant |
| US2010/0034022(A1) | 2010-02-01 | Dutta et al. | Applicant |
| US2010/0057976(A1) | 2010-03-01 | Lasser | Applicant |
| US2010/0061151(A1) | 2010-03-01 | Miwa et al. | Applicant |
| US2010/0110580(A1) | 2010-05-01 | Takashima | Applicant |
| US2010/0142268(A1) | 2010-06-01 | Aritome | Applicant |
| US2010/0142277(A1) | 2010-06-01 | Yang et al. | Applicant |
| US2010/0169743(A1) | 2010-07-01 | Vogan et al. | Applicant |
| EP783754(B1) | 1997-07-01 | Applicant | |
| EP1434236(B1) | 2004-06-01 | Applicant | |
| EP1605509(A1) | 2005-12-01 | Applicant | |
| WO9610256(A1) | 1996-04-01 | Applicant | |
| WO98028745(A1) | 1998-07-01 | Applicant | |
| WO2002100112(A1) | 2002-12-01 | Applicant | |
| WO2003100791(A1) | 2003-12-01 | Applicant | |
| WO2007046084(A2) | 2007-04-01 | Applicant | |
| WO2007132452(A2) | 2007-11-01 | Applicant | |
| WO2007132453(A2) | 2007-11-01 | Applicant | |
| WO2007132456(A2) | 2007-11-01 | Applicant | |
| WO2007132457(A2) | 2007-11-01 | Applicant | |
| WO2007132458(A2) | 2007-11-01 | Applicant | |
| WO2007146010(A2) | 2007-12-01 | Applicant | |
| WO2008026203(A2) | 2008-03-01 | Applicant | |
| WO2008053472(A2) | 2008-05-01 | Applicant | |
| WO2008053473(A2) | 2008-05-01 | Applicant | |
| WO2008068747(A2) | 2008-06-01 | Applicant | |
| WO2008077284(A1) | 2008-07-01 | Applicant | |
| WO2008083131(A2) | 2008-07-01 | Applicant | |
| WO2008099958(A1) | 2008-08-01 | Applicant | |
| WO2008111058(A2) | 2008-09-01 | Applicant | |
| WO2008124760(A2) | 2008-10-01 | Applicant | |
| WO2008139441(A2) | 2008-11-01 | Applicant | |
| WO2009037691(A2) | 2009-03-01 | Applicant | |
| WO2009037697(A2) | 2009-03-01 | Applicant | |
| WO2009038961(A2) | 2009-03-01 | Applicant | |
| WO2009050703(A2) | 2009-04-01 | Applicant | |
| WO2009053961(A2) | 2009-04-01 | Applicant | |
| WO2009053962(A2) | 2009-04-01 | Applicant | |
| WO2009053963(A2) | 2009-04-01 | Applicant | |
| WO2009063450(A2) | 2009-05-01 | Applicant | |
| WO2009072100(A2) | 2009-06-01 | Applicant | |
| WO2009072101(A2) | 2009-06-01 | Applicant | |
| WO2009072102(A2) | 2009-06-01 | Applicant | |
| WO2009072103(A2) | 2009-06-01 | Applicant | |
| WO2009072104(A2) | 2009-06-01 | Applicant | |
| WO2009072105(A2) | 2009-06-01 | Applicant | |
| WO2009074978(A2) | 2009-06-01 | Applicant | |
| WO2009074979(A2) | 2009-06-01 | Applicant | |
| WO2009078006(A2) | 2009-06-01 | Applicant | |
| WO2009095902(A2) | 2009-08-01 | Applicant |
Non-Patent Literature (102)
- US 7,161,836, 01/2007, Wan et al. (withdrawn)Applicant
- JEDEC Standard JESD84-C44, “Embedded MultiMediaCard (e•MMC) Mechanical Standard, with Optional Reset Signal”, Jedec Solid State Technology Association, USA, Jul. 2009.Applicant
- JEDEC, “UFS Specification”, version 0.1, Nov. 11, 2009.Applicant
- SD Group and SD Card Association, “SD Specifications Part 1 Physical Layer Specification”, version 3.01, draft 1.00, Nov. 9, 2009.Applicant
- COMPAQ et al., “Universal Serial Bus Specification”, revision 2.0, Apr. 27, 2000.Applicant
- Serial ATA International Organization, “Serial ATA Revision 3.0 Specification”, Jun. 2, 2009.Applicant
- Gotou, H., “An Experimental Confirmation of Automatic Threshold Voltage Convergence in a Flash Memory Using Alternating Word-Line Voltage Pulses”, IEEE Electron Device Letters, vol. 18, No. 10, pp. 503-505, Oct. 1997.Applicant
- U.S. Appl. No. 12/880,101 “Reuse of Host Hibernation Storage Space by Memory Controller”, filed Sep. 12, 2010.Applicant
- U.S. Appl. No. 12/890,724 “Error Correction Coding Over Multiple Memory Pages”, filed Sep. 27, 2010.Applicant
- U.S. Appl. No. 12/171,797 Official Action dated Aug. 25, 2010.Applicant
- U.S. Appl. No. 12/497,707 Official Action dated Sep. 15, 2010.Applicant
- U.S. Appl. No. 11/995,801 Official Action dated Oct. 15, 2010.Applicant
- Numonyx, “M25PE16: 16-Mbit, page-erasable serial flash memory with byte-alterability, 75 MHz SPI bus, standard pinout”, Apr. 2008.Applicant
- Huffman, A., “Non-Volatile Memory Host Controller Interface (NVMHCI)”, Specification 1.0, Apr. 14, 2008.Applicant
- Panchbhai et al., “Improving Reliability of NAND Based Flash Memory Using Hybrid SLC/MLC Device”, Project Proposal for CSci 8980—Advanced Storage Systems, University of Minnesota, USA, Spring 2009.Applicant
- U.S. Appl. No. 11/957,970 Official Action dated May 20, 2010.Applicant
- Shalvi et al., U.S. Appl. No. 12/822,207 “Adaptive Over-Provisioning in Memory Systems” filed Jun. 24, 2010.Applicant
- U.S. Appl. No. 11/995,814 Official Action dated Dec. 17, 2010.Applicant
- U.S. Appl. No. 12/388,528 Official Action dated Nov. 29, 2010.Applicant
- U.S. Appl. No. 12/251,471 Official Action dated Jan. 3, 2011.Applicant
- Engineering Windows 7, “Support and Q&A for Solid-State Drives”, e7blog, May 5, 2009.Applicant
- Micron Technology Inc., “Memory Management in NAND Flash Arrays”, Technical Note, year 2005.Applicant
- Kang et al., “A Superblock-based Flash Translation Layer for NAND Flash Memory”, Proceedings of the 6th ACM & IEEE International Conference on Embedded Software, pp. 161-170, Seoul, Korea, Oct. 22-26, 2006.Applicant
- Park et al., “Sub-Grouped Superblock Management for High-Performance Flash Storages”, IEICE Electronics Express, vol. 6, No. 6, pp. 297-303, Mar. 25, 2009.Applicant
- “How to Resolve “Bad Super Block: Magic Number Wrong” in BSD”, Free Online Articles Director Article Base, posted Sep. 5, 2009.Applicant
- Ubuntu Forums, “Memory Stick Failed IO Superblock”, posted Nov. 11, 2009.Applicant
- Super User Forums, “SD Card Failure, can't read superblock”, posted Aug. 8, 2010.Applicant
- U.S. Appl. No. 12/987,174, filed Jan. 10, 2011.Applicant
- U.S. Appl. No. 12/987,175, filed Jan. 10, 2011.Applicant
- U.S. Appl. No. 12/963,649, filed Dec. 9, 2010.Applicant
- U.S. Appl. No. 13/021,754, filed Feb. 6, 2011.Applicant
- Agrell et al., “Closest Point Search in Lattices”, IEEE Transactions on Information Theory, vol. 48, No. 8, pp. 2201-2214, Aug. 2002.Applicant
- Bez et al., “Introduction to Flash memory”, Proceedings of the IEEE, vol. 91, No. 4, pp. 489-502, Apr. 2003.Applicant
- Blahut, R.E., “Theory and Practice of Error Control Codes,” Addison-Wesley, May 1984, section 3.2, pp. 47-48.Applicant
- Chang, L “Hybrid Solid State Disks: Combining Heterogeneous NAND Flash in Large SSDs”, ASPDAC, Jan. 2008.Applicant
- Cho et al., “Multi-Level NAND Flash Memory with Non-Uniform Threshold Voltage Distribution,” IEEE International Solid-State Circuits Conference (ISSCC), San Francisco, CA, Feb. 5-7, 2001, pp. 28-29 and 424.Applicant
- Databahn™, “Flash memory controller IP”, Denali Software, Inc., 1994 https://www.denali.com/en/products/databahn—flash.jsp.Applicant
- Datalight, Inc., “FlashFX Pro 3.1 High Performance Flash Manager for Rapid Development of Reliable Products”, Nov. 16, 2006.Applicant
- Duann, N., Silicon Motion Presentation “SLC & MLC Hybrid”, Flash Memory Summit, Santa Clara, USA, Aug. 2008.Applicant
- Eitan et al., “Can NROM, a 2-bit, Trapping Storage NVM Cell, Give a Real Challenge to Floating Gate Cells?”, Proceedings of the 1999 International Conference on Solid State Devices and Materials (SSDM), p. 522-524, Tokyo, Japan 1999.Applicant
- Eitan et al., “Multilevel Flash Cells and their Trade-Offs”, Proceedings of the 1996 IEEE International Electron Devices Meeting (IEDM), pp. 169-172, New York, USA 1996.Applicant
- Engh et al., “A self adaptive programming method with 5 mV accuracy for multi-level storage in FLASH”, pp. 115-118, Proceedings of the IEEE 2002 Custom Integrated Circuits Conference, May 12-15, 2002.Applicant
- Goodman et al., “On-Chip ECC for Multi-Level Random Access Memories,” Proceedings of the IEEE/CAM Information Theory Workshop, Ithaca, USA, Jun. 25-29, 1989.Applicant
- Han et al., “An Intelligent Garbage Collection Algorithm for Flash Memory Storages”, Computational Science and Its Applications—ICCSA 2006, vol. 3980/2006, pp. 1019-1027, Springer Berlin / Heidelberg, Germany, May 11, 2006.Applicant
- Han et al., “CATA: A Garbage Collection Scheme for Flash Memory File Systems”, Ubiquitous Intelligence and Computing, vol. 4159/2006, pp. 103-112, Springer Berlin / Heidelberg, Aug. 25, 2006.Applicant
- Horstein, “On the Design of Signals for Sequential and Nonsequential Detection Systems with Feedback,” IEEE Transactions on Information Theory IT-12:4 (Oct. 1966), pp. 448-455.Applicant
- Jung et al., in “A 117 mm.sup.2 3.3V Only 128 Mb Multilevel NAND Flash Memory for Mass Storage Applications,” IEEE Journal of Solid State Circuits, (11:31), Nov. 1996, pp. 1575-1583.Applicant
- Kawaguchi et al. 1995. A flash-memory based file system. In Proceedings of the USENIX 1995 Technical Conference , New Orleans, Louisiana. 155-164.Applicant
- Kim et al., “Future Memory Technology including Emerging New Memories”, Proceedings of the 24th International Conference on Microelectronics (MIEL), vol. 1, pp. 377-384, Nis, Serbia and Montenegro, May 16-19, 2004.Applicant
- Lee et al., “Effects of Floating Gate Interference on NAND Flash Memory Cell Operation”, IEEE Electron Device Letters, vol. 23, No. 5, pp. 264-266, May 2002.Applicant
- Maayan et al., “A 512 Mb NROM Flash Data Storage Memory with 8 MB/s Data Rate”, Proceedings of the 2002 IEEE International Solid-State circuits Conference (ISSCC 2002), pp. 100-101, San Francisco, USA, Feb. 3-7, 2002.Applicant
- Mielke et al., “Recovery Effects in the Distributed Cycling of Flash Memories”, IEEE 44th Annual International Reliability Physics Symposium, pp. 29-35, San Jose, USA, Mar. 2006.Applicant
- Onfi, “Open NAND Flash Interface Specification,” revision 1.0, Dec. 28, 2006.Applicant
- Phison Electronics Corporation, “PS8000 controller Specification (for SD Card)”, revision 1.2, Document No. S-07018, Mar. 28, 2007.Applicant
- Shalvi, et al., “Signal Codes,” Proceedings of the 2003 IEEE Information Theory Workshop (ITW'2003), Paris, France, Mar. 31-Apr. 4, 2003.Applicant
- Shiozaki, A., “Adaptive Type-II Hybrid Broadcast ARQ System”, IEEE Transactions on Communications, vol. 44, Issue 4, pp. 420-422, Apr. 1996.Applicant
- Suh et al., “A 3.3V 32Mb NAND Flash Memory with Incremental Step Pulse Programming Scheme”, IEEE Journal of Solid-State Circuits, vol. 30, No. 11, pp. 1149-1156, Nov. 1995.Applicant
- ST Microelectronics, “Bad Block Management in NAND Flash Memories”, Application note AN-1819, Geneva, Switzerland, May 2004.Applicant
- ST Microelectronics, “Wear Leveling in Single Level Cell NAND Flash Memories,” Application note AN-1822 Geneva, Switzerland, Feb. 2007.Applicant
- Takeuchi et al., “A Double Level Vth Select Gate Array Architecture for Multi-Level NAND Flash Memories”, Digest of Technical Papers, 1995 Symposium on VLSI Circuits, pp. 69-70, Jun. 8-10, 1995.Applicant
- Wu et al., “eNVy: A non-Volatile, Main Memory Storage System”, Proceedings of the 6th International Conference on Architectural support for programming languages and operating systems, pp. 86-87, San Jose, USA, 1994.Applicant
- International Application PCT/IL2007/000575 Patentability report dated Mar. 26, 2009.Applicant
- International Application PCT/IL2007/000575 Search Report dated May 30, 2008.Applicant
- International Application PCT/IL2007/000576 Patentability Report dated Mar. 19, 2009.Applicant
- International Application PCT/IL2007/000576 Search Report dated Jul. 7, 2008.Applicant
- International Application PCT/IL2007/000579 Patentability report dated Mar. 10, 2009.Applicant
- International Application PCT/IL2007/000579 Search report dated Jul. 3, 2008.Applicant
- International Application PCT/IL2007/000580 Patentability Report dated Mar. 10, 2009.Applicant
- International Application PCT/IL2007/000580 Search Report dated Sep. 11, 2008.Applicant
- International Application PCT/IL2007/000581 Patentability Report dated Mar. 26, 2009.Applicant
- International Application PCT/IL2007/000581 Search Report dated Aug. 25, 2008.Applicant
- International Application PCT/IL2007/001059 Patentability report dated Apr. 19, 2009.Applicant
- International Application PCT/IL2007/001059 Search report dated Aug. 7, 2008.Applicant
- International Application PCT/IL2007/001315 search report dated Aug. 7, 2008.Applicant
- International Application PCT/IL2007/001315 Patentability Report dated May 5, 2009.Applicant
- International Application PCT/IL2007/001316 Search report dated Jul. 22, 2008.Applicant
- International Application PCT/IL2007/001316 Patentability Report dated May 5, 2009.Applicant
- International Application PCT/IL2007/001488 Search report dated Jun. 20, 2008.Applicant
- International Application PCT/IL2008/000329 Search report dated Nov. 25, 2008.Applicant
- International Application PCT/IL2008/000519 Search report dated Nov. 20, 2008.Applicant
- International Application PCT/IL2008/001188 Search Report dated Jan. 28, 2009.Applicant
- International Application PCT/IL2008/001356 Search Report dated Feb. 3, 2009.Applicant
- International Application PCT/IL2008/001446 Search report dated Feb. 20, 2009.Applicant
- U.S. Appl. No. 11/949,135 Official Action dated Oct. 2, 2009.Applicant
- Sommer, N., U.S. Appl. No. 12/171,797 “Memory Device with Non-Uniform Programming Levels” filed Jul. 11, 2008.Applicant
- Shalvi et al., U.S. Appl. No. 12/251,471 “Compensation for Voltage Drifts in Analog Memory Cells” filed Oct. 15, 2008.Applicant
- Sommer et al., U.S. Appl. No. 12/497,707 “Data Storage in Analog Memory Cells with Protection Against Programming Interruption” filed Jul. 6, 2009.Applicant
- Winter et al., U.S. Appl. No. 12/534,893 “Improved Data Storage in Analog Memory Cells Using Modified Pass Voltages” filed Aug. 4, 2009.Applicant
- Hong et al., “NAND Flash-based Disk Cache Using SLC/MLC Combined Flash Memory”, 2010 International Workshop on Storage Network Architecture and Parallel I/Os, pp. 21-30, USA, May 3, 2010.Applicant
- U.S. Appl. No. 11/945,575 Official Action dated Aug. 24, 2010.Applicant
- U.S. Appl. No. 12/045,520 Official Action dated Nov. 16, 2010.Applicant
- U.S. Appl. No. 12/019,011 Official Action dated Nov. 20, 2009.Applicant
- Takeuchi et al., “A Multipage Cell Architecture for High-Speed Programming Multilevel NAND Flash Memories”, IEEE Journal of Solid State Circuits, vol. 33, No. 8, Aug. 1998.Applicant
- U.S. Appl. No. 13/088,361, filed Apr. 17, 2011.Applicant
- U.S. Appl. No. 13/047,822, filed Mar. 15, 2011.Applicant
- U.S. Appl. No. 13/069,406, filed Mar. 23, 2011.Applicant
- Ankolekar et al., “Multibit Error-Correction Methods for Latency-Constrained Flash Memory Systems”, IEEE Transactions on Device and Materials Reliability, vol. 10, No. 1, pp. 33-39, Mar. 2010 .Applicant
- U.S. Appl. No. 12/344,233 Official Action dated Jun. 24, 2011.Applicant
- U.S. Appl. No. 11/995,813 Official Action dated Jun. 16, 2011.Applicant
- Berman et al., “Mitigating Inter-Cell Coupling Effects in MLC NAND Flash via Constrained Coding”, Flash Memory Summit, Santa Clara, USA, Aug. 19, 2010.Applicant
- U.S. Appl. No. 12/178,318 Official Action dated May 31, 2011.Applicant
- CN Patent Application No. 200780026181.3 Official Action dated Apr. 8, 2011.Applicant