The present disclosure relates generally to semiconductor memory apparatuses and methods, and more particularly, to apparatuses and methods related to modified decode for corner turn operations.
Memory devices are typically provided as internal, semiconductor, integrated circuits in computers or other electronic systems. There are many different types of memory including volatile and non-volatile memory. Volatile memory can require power to maintain its data (e.g., host data, error data, etc.) and includes random access memory (RAM), dynamic random access memory (DRAM), static random access memory (SRAM), synchronous dynamic random access memory (SDRAM), and thyristor random access memory (TRAM), among others. Non-volatile memory can provide persistent data by retaining stored data when not powered and can include NAND flash memory, NOR flash memory, and resistance variable memory such as phase change random access memory (PCRAM), resistive random access memory (RRAM), and magnetoresistive random access memory (MRAM), such as spin torque transfer random access memory (STT RAM), among others.
Electronic systems often include a number of processing resources (e.g., one or more processors), which may retrieve and execute instructions and store the results of the executed instructions to a suitable location. A processor can comprise a number of functional units (e.g., herein referred to as functional unit circuitry such as arithmetic logic unit (ALU) circuitry, floating point unit (FPU) circuitry, and/or a combinatorial logic block, for example, which can execute instructions to perform logical operations such as AND, OR, NOT, NAND, NOR, and XOR logical operations on data (e.g., one or more operands).
A number of components in an electronic system may be involved in providing instructions to the functional unit circuitry for execution. The instructions may be generated, for instance, by a processing resource such as a controller and/or host processor. Data (e.g., the operands on which the instructions will be executed to perform the logical operations) may be stored in a memory array that is accessible by the functional unit circuitry. The instructions and/or data may be retrieved from the memory array and sequenced and/or buffered before the functional unit circuitry begins to execute instructions on the data. Furthermore, as different types of operations may be executed in one or multiple clock cycles through the functional unit circuitry, intermediate results of the operations and/or data may also be sequenced and/or buffered.
In many instances, the processing resources (e.g., processor and/or associated functional unit circuitry) may be external to the memory array, and data can be accessed (e.g., via a bus between the processing resources and the memory array) to execute instructions. Data can be moved from the memory array to registers external to the memory array via a bus.
Data can be stored in memory cells of a memory array in a number of arrangements. For example, when stored horizontally, portions of data can be stored in memory cells coupled to a plurality of sense lines and an access line. Meanwhile, when stored vertically, portions of data can be stored in memory cells coupled to a sense line and a plurality of access lines.
The present disclosure includes apparatuses and methods related to a modified decode circuitry for performing a corner turn in memory. An example apparatus can comprise an array of memory cell and decode circuitry coupled to the array and including logic configured to modify an address corresponding to at least one data element in association with performing a corner turn operation on at least one data element. The logic can be configured to modify the address corresponding to the at least one data element on a per column select basis.
As an example, modified decode circuitry associated with a buffer memory such as an SRAM, for instance, can be used to perform a corner turn on data stored in a plurality of memory cells of a different memory, such as a DRAM, for instance. For example, data elements (e.g., bytes, words, etc.) can be stored in a plurality of memory cells coupled to a same access line (e.g., word line), which may be referred to as a “horizontal” storage format. Alternatively, data elements can be stored in a plurality of memory cells corresponding to a same column (e.g., same sense line and/or pair of complementary sense lines), which may be referred to as a “vertical” storage format.
In various instances, it may be beneficial to operate on data elements stored vertically in an array. For example, some memory arrays can be coupled to sensing circuitry comprising a plurality of compute components each corresponding to one of a respective plurality of columns of the array and serving as one of a respective plurality of processing resources (e.g., a plurality of 1-bit processors). In various instances, the plurality of 1-bit processors can operate in parallel on data elements stored vertically in corresponding columns of the array. For example, the data elements can be stored such that the data units (e.g., bits) of a particular data element (e.g., word) are stored at successive addresses in the memory space corresponding to a particular processing resource. In this manner, in an array comprising 16K columns, 16K vertically stored data units could be processed in parallel by the corresponding 16K 1-bit processors (see
A number of embodiments of the present disclosure perform address modifications on data to facilitate performing corner turn operations (e.g., to facilitate adjustment of data from a horizontal storage format to a vertical storage format, and vice versa). Embodiments of the present disclosure can provide benefits such as performing corner turn operations in a more efficient manner and/or using less circuitry (e.g., less complex decode circuitry and/or fewer instances of the decode circuitry) as compared to previous approaches, among other benefits. In the following detailed description of the present disclosure, reference is made to the accompanying drawings that form a part hereof, and in which is shown by way of illustration how one or more embodiments of the disclosure may be practiced. These embodiments are described in sufficient detail to enable those of ordinary skill in the art to practice the embodiments of this disclosure, and it is to be understood that other embodiments may be utilized and that process, electrical, and/or structural changes may be made without departing from the scope of the present disclosure. As used herein, the designators “R,” “S,” “U,” “V,” “W,” etc., particularly with respect to reference numerals in the drawings, indicates that a number of the particular feature so designated can be included. As used herein, “a number of” a particular thing can refer to one or more of such things (e.g., a number of memory arrays can refer to one or more memory arrays).
The figures herein follow a numbering convention in which the first digit or digits correspond to the drawing figure number and the remaining digits identify an element or component in the drawing. Similar elements or components between different figures may be identified by the use of similar digits. For example, 171 may reference element “71” in
System 100 includes a host 110 coupled (e.g., connected) to memory device 120, which includes a memory array 130. Host 110 can be a host system such as a personal laptop computer, a desktop computer, a digital camera, a smart phone, or a memory card reader, among various other types of hosts. Host 110 can include a system motherboard and/or backplane and can include a number of processing resources (e.g., one or more processors, microprocessors, or some other type of controlling circuitry). The system 100 can include separate integrated circuits or both the host 110 and the memory device 120 can be on the same integrated circuit. The system 100 can be, for instance, a server system and/or a high performance computing (HPC) system and/or a portion thereof. Although the example shown in
For clarity, the system 100 has been simplified to focus on features with particular relevance to the present disclosure. The memory array 130 can be a DRAM array, SRAM array, STT RAM array, PCRAM array, TRAM array, RRAM array, NAND flash array, and/or NOR flash array, for instance. The array 130 can comprise memory cells arranged in rows coupled by access lines (which may be referred to herein as word lines or select lines) and columns coupled by sense lines, which may be referred to herein as data lines or digit lines. Although a single array 130 is shown in
The memory device 120 includes address circuitry 142 to latch address signals provided over a bus 156 (e.g., an I/O bus) through I/O circuitry 144. Status and/or exception information can be provided from the controller 140 on the memory device 120 to a channel controller 143 and/or host 110 (e.g., through a high speed interface (HSI) including an out-of-band bus 157). Address signals are received through address circuitry 142 and decoded by a row decoder 146 and a column decoder 152 to access the memory array 130. The address signals can also be provided to controller 140. Data can be read from memory array 130 by sensing voltage and/or current changes on the data lines using sensing circuitry 150. The sensing circuitry 150 can read and latch a page (e.g., row) of data from the memory array 130. The I/O circuitry 144 can be used for bi-directional data communication with host 110 over the data bus 156. The write circuitry 148 is used to write data to the memory array 130.
The controller 140 decodes signals provided by control bus 154 from the host 110. These signals can include chip enable signals, write enable signals, and address latch signals that are used to control operations performed on the memory array 130, including data read, data write, and data erase operations. In various embodiments, the memory controller 140 is responsible for executing instructions from the host 110 and sequencing access to the array 130. The controller 140 can include a buffer 171 for storing data. The buffer 171 can be an array (e.g., SRAM Cell Array 571 shown in
Examples of the sensing circuitry 150 can comprise a number of sense amplifiers and a number of corresponding compute components, which may serve as, and be referred to herein as, accumulators and can be used to perform logical operations (e.g., on data associated with complementary data lines).
In a number of embodiments, the sensing circuitry 150 can be used to perform logical operations using data stored in array 130 as inputs and store the results of the logical operations back to the array 130 without transferring data via a sense line address access (e.g., without firing a column decode signal). As such, various compute functions can be performed using, and within, sensing circuitry 150 rather than (or in association with) being performed by processing resources external to the sensing circuitry (e.g., by a processor associated with host 110 and/or other processing circuitry, such as ALU circuitry, located on device 120 (e.g., on controller 140 or elsewhere)).
In various previous approaches, data associated with an operand, for instance, would be read from memory via sensing circuitry and provided to external ALU circuitry via I/O lines (e.g., via local I/O lines and/or global I/O lines). The external ALU circuitry could include a number of registers and would perform compute functions using the operands, and the result would be transferred back to the array via the I/O lines. In contrast, in a number of embodiments of the present disclosure, sensing circuitry 150 is configured to perform logical operations on data stored in memory array 130 and store the result back to the memory array 130 without enabling an I/O line (e.g., a local I/O line) coupled to the sensing circuitry 150. The sensing circuitry 150 can be formed on pitch with the memory cells of the array. Additional logic circuitry 170 can be coupled to the sensing circuitry 150 and can be used to store (e.g., cache and/or buffer) results of operations described herein.
As such, in a number of embodiments, circuitry external to array 130 and sensing circuitry 150 is not needed to perform compute functions as the sensing circuitry 150 can perform the appropriate logical operations to perform such compute functions without the use of an external processing resource. Therefore, the sensing circuitry 150 may be used to complement and/or to replace, at least to some extent, such an external processing resource (or at least the bandwidth consumption of such an external processing resource).
However, in a number of embodiments, the sensing circuitry 150 may be used to perform logical operations (e.g., to execute instructions) in addition to logical operations performed by an external processing resource (e.g., host 110). For instance, host 110 and/or sensing circuitry 150 may be limited to performing only certain logical operations and/or a certain number of logical operations.
Enabling an I/O line can include enabling (e.g., turning on) a transistor having a gate coupled to a decode signal (e.g., a column decode signal) and a source/drain coupled to the I/O line. However, embodiments are not limited to not enabling an I/O line. For instance, in a number of embodiments, the sensing circuitry (e.g., 150) can be used to perform logical operations without enabling column decode lines of the array; however, the local I/O line(s) may be enabled in order to transfer a result to a suitable location other than back to the array 130 (e.g., to a buffer such as buffer 171 and/or to some other external register).
Although the channel controller 143 is illustrated as being located on the host 110, embodiments are not so limited. For instance, in a number of embodiments, the channel controller 143 may be located on (e.g., formed on a same substrate as) the memory device 120. Also, although the buffer memory 171 and corresponding decode circuitry (e.g., logic) 173 is shown as being located on controller 140 in
Each column of memory cells can be coupled to sensing circuitry (e.g., sensing circuitry 150 shown in
The sensing circuitry (e.g., sensing components including compute components 131 and corresponding sense amplifiers 106) can be controlled (e.g., by controller 140) to write data to and read data from the array 130. As described further below, data elements (e.g., words) may be stored in array 130 in accordance with a horizontal format or a vertical format. Data elements stored in array 130 in accordance with a vertical format can correspond to elements having undergone a corner turn operation (e.g., via buffer memory 171 and corresponding decode logic 173), in accordance with embodiments described herein, prior to being written to array 130. Similarly, data corresponding to elements stored vertically in array 130 can be read via the sensing circuitry and can be corner turned (e.g., via buffer memory 171 and corresponding decode logic 173) such that the respective data elements can be written to a particular memory (e.g., back to array 130 and/or to a different storage location) in accordance with a horizontal storage format. An example of a horizontal storage format includes data units (e.g., bits) of a data element being stored in a number of adjacent memory cells coupled to a particular access line 104 and to a plurality of sense lines 105. For instance, a first 4-bit element can be stored in a first group of four memory cells each coupled to access line 104-0 (e.g., ROW 0) and to a respective one of sense lines 105-0, 105-1, 105-2, and 105-3, and a second 4-bit element can be stored in a second group of memory cells each coupled to access line 104-1 and to a respective one of sense lines 105-0, 105-1, 105-2, and 105-3.
As noted above, in a number of embodiments, the sensing components (e.g., sense amplifiers 106 and corresponding compute components 131) can serve as 1-bit processors. Therefore, in various instances, it can be beneficial to store elements in array 130 in accordance with a vertical storage format (e.g., in order for the 1-bit processors to operate on a plurality of elements in parallel). As such, performing a corner turn on data such that elements are stored vertically in an array (e.g., 130) can be beneficial. As an example, a corner turn can be performed on the two horizontally stored 4-bit elements described above by reading the horizontally stored elements out of the array 130 (e.g., via sensing circuitry 150), using the buffer memory 171 and corresponding decode logic 173 to perform a corner turn on the two elements (e.g., as described further below), and then writing the two corner turned 4-bit elements back to array 130 (e.g., such that the elements are stored vertically). For instance, the first corner turned 4-bit element could be stored in cells coupled to sense line 105-0 and to access lines 104-0, 104-1, 104-2, and 104-3, and the second corner turned 4-bit element could be stored in cells coupled to sense line 105-1 and to access lines 104-0, 104-1, 104-2, and 104-3.
As shown in
As shown in
As shown in
As shown in
The identifiers used in
As shown in
In various previous approaches, N memories (e.g., N 1-bit RAMs) might be used to perform a corner turn on an N-bit data stream, with N being some power of 2. The example described in
As described further below in connection with
Mathematical notation illustrating an example of a number of data elements being written to a buffer memory in accordance with a corner turn operation, such as that described in
wi=Σj=0J-1bij·2j
In this example, J words wi=0 . . . (J-1), are to be written to a J=J portion of buffer memory (e.g., J× J cells) mkl (k=0 . . . (J−1), l=0 . . . (J−1)). Each bit bij is written to a cell mkl where:
k=j
l=j⊕i,
which indicates that the jth bits of the respective words are located in a same row (e.g., k j), where k represents the row address of the buffer memory. For example, the “0th” bits of each of the four respective words shown in
On readout from the same J× J portion of the buffer memory (e.g., the buffer memory portion shown in
m=k
n=l⊕k,
where index “m” is the word number of the new word, index “n” is the bit position within the new word “m,” index “k” is the row address corresponding to the buffer memory, and index “l” is the column address corresponding to the buffer memory.
In
For instance, the new word number (e.g., m) is equal to the row address (e.g., index k) of the buffer memory (e.g., since m=k). Therefore, each of the bits stored in row 335-4 (e.g., corresponding to index k=00) of the buffer memory (e.g., bits 0:0, 1:0, 2:0, and 3:0) shown in
The positions of the constituent bits within the new words (e.g., as indicated by index n) is determined by “XORing” the column address (e.g., index 1) and row address (e.g., index k) corresponding to a particular bit stored in the buffer memory shown in
As such, in the mathematical notation above, l=j⊕i can be associated with an address modification used to determine (e.g., designate) a particular memory (e.g., a particular column in this example) in which a particular bit is to be stored when written to a buffer memory in association with a corner turn operation. Similarly, the mathematical notation above, n=l⊕k can be associated with an address modification used to determine a particular memory (e.g., a particular column in this example) in which a particular bit is to be stored when read from a buffer memory and stored in a different memory in association with a corner turn operation. As described further in
In the example shown in
An address modification based on the values of the write address bits 475 and 477 can also be used to determine the particular address within a respective one of the memories 476-0 to 476-3 at which a particular bit 466 of a word 462 is to be stored. In the example illustrated in
It is noted that in the example shown in
In the example shown in
The Batcher corner turn example described in
The decode circuitry 573 can be decode circuitry such as decode circuitry 173 shown in
The buffer array 571 can be accessed by a controller (e.g., controller 150 shown in
In the example shown in
The three address bits 569 used to select a particular one of the columns 577 from the respective 8-bit memories shown in
As described further below in association with
Address modifications (e.g., to address bits 569) associated with corner turning data via the example shown in
A′N=A XOR (N AND e)
where “A′N” is the modified address (e.g., address of respective column 577) corresponding to a bit of a word stored in memory N, “A” is the unmodified (e.g., initial) address corresponding to the bit of the word stored in memory N, “XOR” refers to an XOR logical operation, “N” represents an index (e.g., 0-7 in this example) corresponding to a particular one of the memories, “AND” refers to an AND logical operation, and “e” refers to enable bits. As such, the modified address A′N depends on the unmodified address, A, and on the value of the enable bits, e. As an example, for a 64 bit data path associated with the buffer 571 shown in
The enable bits (e.g., the three enable bits CTEN[2:0] 561) are used to enable/disable the corner turn operation corresponding to the respective address bits ADDR[2:0] 569. For instance, if the enable bits are “111,” then “N AND e” above simply returns the value of “N” (e.g., since “111” AND “N”=“N”), and the corner turn associated with each of the three address bits 569 is performed. If the enable bits are “011,” then a corner turn associated with only the least two significant address bits 569 would be enabled (e.g., such that a four bit corner turn rather than an eight bit corner turn could be performed). As shown in
As such, a particular address bit 569 provided to an XOR gate 583 will be modified (e.g., inverted) responsive to the corresponding respective enable bit 569 being set (e.g., logic 1). In
As an example, consider an unmodified address A=000 (e.g., address bits 569 each having a value of “0”), which would, in the absence gates 583, correspond to selection of a zeroth column (e.g., column 000) of each of the respective 8-bit memories shown in
For example, for A=000 and N=000, the modified address to the corresponding bit in memory N=000 is 000 (e.g., A′N=A XOR N=000 XOR 000, which yields 000). As such, for A=000, column 000 would be selected to write a data unit on data line 585-0 to memory N=000 (e.g., the address bits 569 corresponding to memory N=000 remain 000). For A=000 and N=001, the modified address of a data unit being written to memory N=001 is 001 (e.g., A′N=A XOR N=000 XOR 001, which yields 001). As such, for A=000, column 001 would be selected to write a data unit on data line 585-1 to memory N=001 The modified addresses “A′N” for A=000 in the other 8-bit memories (e.g., memories N=010 to N=111) can be determined in as similar manner. For example, for A=000 and N=111, the modified address of a data unit being written to memory N=111 is 111 (e.g., A′N=A XOR N=000 XOR 111, which yields 111). As such, for A=000, column 111 would be selected to write a data unit on data line 585-7 to memory N=111. For the above example, we assume that the corner turn enable bits 561 are set to 111 (e.g., the corner turn is enabled for each of the corresponding address bits 569).
As another example, consider an unmodified address A=111 (e.g., address bits 569 each having a value of “1”), which would, in the absence of gates 583, correspond to selection of a seventh column (e.g., column 111) of each of the respective 8-bit memories shown in
Although not shown in
As an example, given 8-bit wide data being corner turned via buffer 671 (e.g., 8-bit wide horizontal words being turned to 8-bit wide vertical words), the eight respective 8-bit wide memories 666-0 to 666-7 can be operated to corner turn eight 8-bit wide words. As another example, given 64-bit wide data being corner turned via buffer 671 (e.g., for a 64-bit data path), the eight respective 8-bit wide memories 666-0 to 666-7 can be operated to corner turn respective 8-bit chunks of the 64-bit wide words.
As described above in association with
For purposes of illustrating writing of the data to the buffer 671 in association with a corner turn operation, the eight bits (e.g., bits “0” through “7) written to respective memories MEMORY 000 through MEMORY 111 can be referred to as “word 0” through “word 7.” As such, identifier 0:1 represents bit 1 of word 0, 1:0 represents bit 0 of word 1, 7:6 represents bit 6 of word 7, 2:5 represents bit 5 of word 2, etc. As described above in association with
As per the Batcher corner turn example described above, and as shown in
As noted above, the particular memory 666-0 to 666-7 in which the respective bits “0” to “7” are stored can be determined based on the write address and the bit number (e.g., via bit swaps). For instance, as described above, the write addresses (e.g., 569) can be provided to a multiplexor network (e.g., 482/484), which can result in a number of bit swaps that depend on the particular bit number within a respective word.
As such,
Table 601 indicates the constituent bits read from buffer memory 671 in association with eight successive read address 669 (e.g., 000 through 111). The read address 669 can correspond to the address bits 569 shown in
As shown in table 601, reading data out of buffer 671 (with enable bits 561 being “000” such that the address inversions are disabled) in association with read address “000” yields bits 0:0, 1:0, 2:0, 3:0, 4:0, 5:0, 6:0, 7:0 on respective data lines 685-0 to 685-7, read address “001” yields bits 1:1, 0:1, 3:1, 2:1, 5:1, 4:1, 7:1, 6:1 on respective data lines 685-0 to 685-7, read address “010” yields bits 2:2, 3:2, 0:2, 1:2, 6:2, 7:2, 4:2, 5:2 on respective data lines 685-0 to 685-7, read address “011” yields bits 3:3, 2:3, 1:3, 0:3, 7:3, 6:3, 5:3, 4:3 on respective data lines 685-0 to 685-7, read address “100” yields bits 4:4, 5:4, 6:4, 7:4, 0:4, 1:4, 2:4, 3:4 on respective data lines 685-0 to 685-7, read address “101” yields bits 5:5, 4:5, 7:5, 6:5, 1:5, 0:5, 3:5, 2:5 on respective data lines 685-0 to 685-7, read address “110” yields bits 6:6, 7:6, 4:6, 5:6, 2:6, 3:6, 0:6, 1:6 on respective data lines 685-0 to 685-7, and, read address “111” yields bits 7:7, 6:7, 5:7, 4:7, 3:7, 2:7, 1:7, 0:7 on respective data lines 685-0 to 685-7. As noted above, and as shown in table 601, it is necessary to reorder the data bits on data lines 685-0 to 685-1 upon being read from memory 671 (e.g., via a number of bit swaps) in order to complete the corner turn operation on words “0” to “7.” As such, reading data out of array 671 can also include performing a number of bit swaps (e.g., via multiplexor circuitry in addition to column select multiplexors such as multiplexors 575 shown in
In the example shown in
The organization of the data stored in memory 730 subsequent to the corner turn is not limited to the example illustrated in
Furthermore, embodiments of the present disclosure are not limited to the examples described herein. For instance, a size of a corner turn buffer can be adjusted to provide for a data path greater than 64-bits. As an example, a plurality of buffer memories such as buffer memory 571 and corresponding decode circuitry 573 can be combined. Also, embodiments are not limited to a particular size of data element. For instance, the width of data elements capable of being corner turned can depend on the width of the column select multiplexors (e.g., 575), among other factors.
Although specific embodiments have been illustrated and described herein, those of ordinary skill in the art will appreciate that an arrangement calculated to achieve the same results can be substituted for the specific embodiments shown. This disclosure is intended to cover adaptations or variations of one or more embodiments of the present disclosure. It is to be understood that the above description has been made in an illustrative fashion, and not a restrictive one. Combination of the above embodiments, and other embodiments not specifically described herein will be apparent to those of skill in the art upon reviewing the above description. The scope of the one or more embodiments of the present disclosure includes other applications in which the above structures and methods are used. Therefore, the scope of one or more embodiments of the present disclosure should be determined with reference to the appended claims, along with the full range of equivalents to which such claims are entitled.
In the foregoing Detailed Description, some features are grouped together in a single embodiment for the purpose of streamlining the disclosure. This method of disclosure is not to be interpreted as reflecting an intention that the disclosed embodiments of the present disclosure have to use more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive subject matter lies in less than all features of a single disclosed embodiment. Thus, the following claims are hereby incorporated into the Detailed Description, with each claim standing on its own as a separate embodiment.
This application is a Continuation of U.S. application Ser. No. 15/899,092, filed Feb. 19, 2018, which issues as U.S. Pat. No. 10,217,499 on Feb. 26, 2019, which is a Divisional of U.S. application Ser. No. 15/048,133, filed Feb. 19, 2016, which issued as U.S. Pat. No. 9,899,070 on Feb. 20, 2018, the contents of which are included herein by reference.
Number | Name | Date | Kind |
---|---|---|---|
4380046 | Fung | Apr 1983 | A |
4435792 | Bechtolsheim | Mar 1984 | A |
4435793 | Ochii | Mar 1984 | A |
4727474 | Batcher | Feb 1988 | A |
4843264 | Galbraith | Jun 1989 | A |
4852065 | Baddiley | Jul 1989 | A |
4958378 | Bell | Sep 1990 | A |
4977542 | Matsuda et al. | Dec 1990 | A |
5023838 | Herbert | Jun 1991 | A |
5034636 | Reis et al. | Jul 1991 | A |
5079739 | Petersen | Jan 1992 | A |
5201039 | Sakamura | Apr 1993 | A |
5210850 | Kelly et al. | May 1993 | A |
5253308 | Johnson | Oct 1993 | A |
5276643 | Hoffman et al. | Jan 1994 | A |
5325519 | Long et al. | Jun 1994 | A |
5367488 | An | Nov 1994 | A |
5379257 | Matsumura et al. | Jan 1995 | A |
5386379 | Ali-Yahia et al. | Jan 1995 | A |
5398213 | Yeon et al. | Mar 1995 | A |
5406525 | Nicholes | Apr 1995 | A |
5440482 | Davis | Aug 1995 | A |
5446690 | Tanaka et al. | Aug 1995 | A |
5449907 | McKeeman et al. | Sep 1995 | A |
5473576 | Matsui | Dec 1995 | A |
5481500 | Reohr et al. | Jan 1996 | A |
5485373 | Davis et al. | Jan 1996 | A |
5506811 | McLaury | Apr 1996 | A |
5606707 | Tomassi et al. | Feb 1997 | A |
5615404 | Knoll et al. | Mar 1997 | A |
5638128 | Hoogenboom | Jun 1997 | A |
5638317 | Tran | Jun 1997 | A |
5654936 | Cho | Aug 1997 | A |
5678021 | Pawate et al. | Oct 1997 | A |
5724291 | Matano | Mar 1998 | A |
5724366 | Furutani | Mar 1998 | A |
5740340 | Purcell et al. | Apr 1998 | A |
5751987 | Mahant-Shetti et al. | May 1998 | A |
5787458 | Miwa | Jul 1998 | A |
5854636 | Watanabe et al. | Dec 1998 | A |
5867429 | Chen et al. | Feb 1999 | A |
5870504 | Nemoto et al. | Feb 1999 | A |
5915084 | Wendell | Jun 1999 | A |
5935263 | Keeth et al. | Aug 1999 | A |
5954831 | Chang | Sep 1999 | A |
5986942 | Sugibayashi | Nov 1999 | A |
5991209 | Chow | Nov 1999 | A |
5991785 | Alidina et al. | Nov 1999 | A |
6005799 | Rao | Dec 1999 | A |
6009020 | Nagata | Dec 1999 | A |
6092186 | Betker et al. | Jul 2000 | A |
6122211 | Morgan et al. | Sep 2000 | A |
6125071 | Kohno et al. | Sep 2000 | A |
6134164 | Lattimore et al. | Oct 2000 | A |
6147514 | Shiratake | Nov 2000 | A |
6151244 | Fujino et al. | Nov 2000 | A |
6157578 | Brady | Dec 2000 | A |
6163862 | Adams et al. | Dec 2000 | A |
6166942 | Vo et al. | Dec 2000 | A |
6172918 | Hidaka | Jan 2001 | B1 |
6175514 | Henderson | Jan 2001 | B1 |
6181698 | Hariguchi | Jan 2001 | B1 |
6208544 | Beadle et al. | Mar 2001 | B1 |
6226215 | Yoon | May 2001 | B1 |
6301153 | Takeuchi et al. | Oct 2001 | B1 |
6301164 | Manning et al. | Oct 2001 | B1 |
6304477 | Naji | Oct 2001 | B1 |
6389507 | Sherman | May 2002 | B1 |
6411333 | Auld et al. | Jun 2002 | B1 |
6418498 | Martwick | Jul 2002 | B1 |
6466499 | Blodgett | Oct 2002 | B1 |
6510098 | Taylor | Jan 2003 | B1 |
6563754 | Lien et al. | May 2003 | B1 |
6578058 | Nygaard | Jun 2003 | B1 |
6731542 | Le et al. | May 2004 | B1 |
6754746 | Leung et al. | Jun 2004 | B1 |
6768679 | Le et al. | Jul 2004 | B1 |
6807614 | Chung | Oct 2004 | B2 |
6816422 | Hamade et al. | Nov 2004 | B2 |
6819612 | Achter | Nov 2004 | B1 |
6894549 | Eliason | May 2005 | B2 |
6943579 | Hazarichuk et al. | Sep 2005 | B1 |
6948056 | Roth | Sep 2005 | B1 |
6950771 | Fan et al. | Sep 2005 | B1 |
6950898 | Merritt et al. | Sep 2005 | B2 |
6956770 | Khalid et al. | Oct 2005 | B2 |
6961272 | Schreck | Nov 2005 | B2 |
6965648 | Smith et al. | Nov 2005 | B1 |
6985394 | Kim | Jan 2006 | B2 |
6987693 | Cernea et al. | Jan 2006 | B2 |
7020017 | Chen et al. | Mar 2006 | B2 |
7028170 | Saulsbury | Apr 2006 | B2 |
7045834 | Tran et al. | May 2006 | B2 |
7054178 | Shiah et al. | May 2006 | B1 |
7061817 | Raad et al. | Jun 2006 | B2 |
7079407 | Dimitrelis | Jul 2006 | B1 |
7173857 | Kato et al. | Feb 2007 | B2 |
7187585 | Li et al. | Mar 2007 | B2 |
7196928 | Chen | Mar 2007 | B2 |
7260565 | Lee et al. | Aug 2007 | B2 |
7260672 | Gamey | Aug 2007 | B2 |
7372715 | Han | May 2008 | B2 |
7400532 | Aritome | Jul 2008 | B2 |
7406494 | Magee | Jul 2008 | B2 |
7447720 | Beaumont | Nov 2008 | B2 |
7454451 | Beaumont | Nov 2008 | B2 |
7457181 | Lee et al. | Nov 2008 | B2 |
7535769 | Cernea | May 2009 | B2 |
7546438 | Chung | Jun 2009 | B2 |
7546516 | Helbig | Jun 2009 | B2 |
7562198 | Noda et al. | Jul 2009 | B2 |
7574466 | Beaumont | Aug 2009 | B2 |
7602647 | Li et al. | Oct 2009 | B2 |
7663928 | Tsai et al. | Feb 2010 | B2 |
7685365 | Rajwar et al. | Mar 2010 | B2 |
7692466 | Ahmadi | Apr 2010 | B2 |
7752417 | Manczak et al. | Jul 2010 | B2 |
7791962 | Noda et al. | Sep 2010 | B2 |
7796453 | Riho et al. | Sep 2010 | B2 |
7805587 | Van Dyke et al. | Sep 2010 | B1 |
7808854 | Takase | Oct 2010 | B2 |
7827372 | Bink et al. | Nov 2010 | B2 |
7869273 | Lee et al. | Jan 2011 | B2 |
7898864 | Dong | Mar 2011 | B2 |
7907473 | Ishizaki et al. | Mar 2011 | B2 |
7924628 | Danon et al. | Apr 2011 | B2 |
7937535 | Ozer et al. | May 2011 | B2 |
7957206 | Bauser | Jun 2011 | B2 |
7979667 | Allen et al. | Jul 2011 | B2 |
7996749 | Ding et al. | Aug 2011 | B2 |
8042082 | Solomon | Oct 2011 | B2 |
8045391 | Mohklesi | Oct 2011 | B2 |
8059438 | Chang et al. | Nov 2011 | B2 |
8095825 | Hirotsu et al. | Jan 2012 | B2 |
8117462 | Snapp et al. | Feb 2012 | B2 |
8164942 | Gebara et al. | Apr 2012 | B2 |
8208328 | Hong | Jun 2012 | B2 |
8213248 | Moon et al. | Jul 2012 | B2 |
8223568 | Seo | Jul 2012 | B2 |
8238173 | Akerib et al. | Aug 2012 | B2 |
8274841 | Shinano et al. | Sep 2012 | B2 |
8279683 | Klein | Oct 2012 | B2 |
8310884 | Iwai et al. | Nov 2012 | B2 |
8332367 | Bhattacherjee et al. | Dec 2012 | B2 |
8339824 | Cooke | Dec 2012 | B2 |
8339883 | Yu et al. | Dec 2012 | B2 |
8347154 | Bahali et al. | Jan 2013 | B2 |
8351292 | Matano | Jan 2013 | B2 |
8356144 | Hessel et al. | Jan 2013 | B2 |
8417921 | Gonion et al. | Apr 2013 | B2 |
8437217 | Pekny | May 2013 | B2 |
8447962 | Hughes et al. | May 2013 | B2 |
8462532 | Argyres | Jun 2013 | B1 |
8484276 | Carlson et al. | Jul 2013 | B2 |
8495438 | Roine | Jul 2013 | B2 |
8503250 | Demone | Aug 2013 | B2 |
8526239 | Kim | Sep 2013 | B2 |
8533245 | Cheung | Sep 2013 | B1 |
8555037 | Gonion | Oct 2013 | B2 |
8599613 | Abiko et al. | Dec 2013 | B2 |
8605015 | Guttag et al. | Dec 2013 | B2 |
8625376 | Jung et al. | Jan 2014 | B2 |
8644101 | Jun et al. | Feb 2014 | B2 |
8650232 | Stortz et al. | Feb 2014 | B2 |
8688962 | Raikin et al. | Apr 2014 | B2 |
8873272 | Lee | Oct 2014 | B2 |
8964496 | Manning | Feb 2015 | B2 |
8971124 | Manning | Mar 2015 | B1 |
9015390 | Klein | Apr 2015 | B2 |
9047193 | Lin et al. | Jun 2015 | B2 |
9165023 | Moskovich et al. | Oct 2015 | B2 |
20010007112 | Porterfield | Jul 2001 | A1 |
20010008492 | Higashiho | Jul 2001 | A1 |
20010010057 | Yamada | Jul 2001 | A1 |
20010028584 | Nakayama et al. | Oct 2001 | A1 |
20010043089 | Forbes et al. | Nov 2001 | A1 |
20020059355 | Peleg | May 2002 | A1 |
20030167426 | Slobodnik | Sep 2003 | A1 |
20030222879 | Lin et al. | Dec 2003 | A1 |
20040015633 | Smith | Jan 2004 | A1 |
20040073592 | Kim et al. | Apr 2004 | A1 |
20040073773 | Demjanenko | Apr 2004 | A1 |
20040085840 | Vali et al. | May 2004 | A1 |
20040095826 | Pemer | May 2004 | A1 |
20040154002 | Ball et al. | Aug 2004 | A1 |
20040205289 | Srinivasan | Oct 2004 | A1 |
20040240251 | Nozawa et al. | Dec 2004 | A1 |
20050015557 | Wang et al. | Jan 2005 | A1 |
20050078514 | Scheuerlein et al. | Apr 2005 | A1 |
20050097417 | Agrawal et al. | May 2005 | A1 |
20060036801 | Jones et al. | Feb 2006 | A1 |
20060047937 | Selvaggi et al. | Mar 2006 | A1 |
20060069849 | Rudelic | Mar 2006 | A1 |
20060146623 | Mizuno et al. | Jul 2006 | A1 |
20060149804 | Luick et al. | Jul 2006 | A1 |
20060181917 | Kang et al. | Aug 2006 | A1 |
20060215432 | Wickeraad et al. | Sep 2006 | A1 |
20060225072 | Lari et al. | Oct 2006 | A1 |
20060291282 | Liu et al. | Dec 2006 | A1 |
20070103986 | Chen | May 2007 | A1 |
20070171747 | Hunter et al. | Jul 2007 | A1 |
20070180006 | Gyoten et al. | Aug 2007 | A1 |
20070180184 | Sakashita et al. | Aug 2007 | A1 |
20070195602 | Fong et al. | Aug 2007 | A1 |
20070241405 | Popoff | Oct 2007 | A1 |
20070285131 | Sohn | Dec 2007 | A1 |
20070285979 | Turner | Dec 2007 | A1 |
20070291532 | Tsuji | Dec 2007 | A1 |
20080025073 | Arsovski | Jan 2008 | A1 |
20080037333 | Kim et al. | Feb 2008 | A1 |
20080052711 | Forin et al. | Feb 2008 | A1 |
20080137388 | Krishnan et al. | Jun 2008 | A1 |
20080162824 | Jalowiecki | Jul 2008 | A1 |
20080165601 | Matick et al. | Jul 2008 | A1 |
20080178053 | Gorman et al. | Jul 2008 | A1 |
20080215937 | Dreibelbis et al. | Sep 2008 | A1 |
20090067218 | Graber | Mar 2009 | A1 |
20090154238 | Lee | Jun 2009 | A1 |
20090154273 | Borot et al. | Jun 2009 | A1 |
20090254697 | Akerib | Oct 2009 | A1 |
20090300091 | Brokenshire | Dec 2009 | A1 |
20100067296 | Li | Mar 2010 | A1 |
20100091582 | Vali et al. | Apr 2010 | A1 |
20100172190 | Lavi et al. | Jul 2010 | A1 |
20100210076 | Gruber et al. | Aug 2010 | A1 |
20100226183 | Kim | Sep 2010 | A1 |
20100308858 | Noda et al. | Dec 2010 | A1 |
20100332895 | Billing | Dec 2010 | A1 |
20110051523 | Manabe et al. | Mar 2011 | A1 |
20110063919 | Chandrasekhar et al. | Mar 2011 | A1 |
20110093662 | Walker et al. | Apr 2011 | A1 |
20110103151 | Kim et al. | May 2011 | A1 |
20110119467 | Cadambi et al. | May 2011 | A1 |
20110122695 | Li et al. | May 2011 | A1 |
20110140741 | Zerbe et al. | Jun 2011 | A1 |
20110219260 | Nobunaga et al. | Sep 2011 | A1 |
20110267883 | Lee et al. | Nov 2011 | A1 |
20110317496 | Bunce et al. | Dec 2011 | A1 |
20120005397 | Lim et al. | Jan 2012 | A1 |
20120017039 | Margetts | Jan 2012 | A1 |
20120023281 | Kawasaki et al. | Jan 2012 | A1 |
20120120705 | Mitsubori et al. | May 2012 | A1 |
20120134216 | Singh | May 2012 | A1 |
20120134225 | Chow | May 2012 | A1 |
20120134226 | Chow | May 2012 | A1 |
20120140540 | Agam et al. | Jun 2012 | A1 |
20120182798 | Hosono et al. | Jul 2012 | A1 |
20120195146 | Jun et al. | Aug 2012 | A1 |
20120198310 | Tran et al. | Aug 2012 | A1 |
20120246380 | Akerib et al. | Sep 2012 | A1 |
20120265964 | Murata et al. | Oct 2012 | A1 |
20120281486 | Rao et al. | Nov 2012 | A1 |
20120303627 | Keeton et al. | Nov 2012 | A1 |
20130003467 | Klein | Jan 2013 | A1 |
20130061006 | Hein | Mar 2013 | A1 |
20130107623 | Kavalipurapu et al. | May 2013 | A1 |
20130117541 | Choquette et al. | May 2013 | A1 |
20130124783 | Yoon et al. | May 2013 | A1 |
20130132702 | Patel et al. | May 2013 | A1 |
20130138646 | Sirer et al. | May 2013 | A1 |
20130163362 | Kim | Jun 2013 | A1 |
20130173888 | Hansen et al. | Jul 2013 | A1 |
20130205114 | Badam et al. | Aug 2013 | A1 |
20130219112 | Okin et al. | Aug 2013 | A1 |
20130227361 | Bowers et al. | Aug 2013 | A1 |
20130283122 | Anholt et al. | Oct 2013 | A1 |
20130286705 | Grover et al. | Oct 2013 | A1 |
20130326154 | Haswell | Dec 2013 | A1 |
20130332707 | Gueron | Dec 2013 | A1 |
20140040596 | Fleischer et al. | Feb 2014 | A1 |
20140153399 | Song | Jun 2014 | A1 |
20140185395 | Seo | Jul 2014 | A1 |
20140215185 | Danielsen | Jul 2014 | A1 |
20140250279 | Manning | Sep 2014 | A1 |
20140344934 | Jorgensen | Nov 2014 | A1 |
20150029798 | Manning | Jan 2015 | A1 |
20150042380 | Manning | Feb 2015 | A1 |
20150063052 | Manning | Mar 2015 | A1 |
20150078108 | Cowles et al. | Mar 2015 | A1 |
20150085589 | Lu et al. | Mar 2015 | A1 |
20150120987 | Wheeler | Apr 2015 | A1 |
20150134713 | Wheeler | May 2015 | A1 |
20150270015 | Murphy et al. | Sep 2015 | A1 |
20150279466 | Manning | Oct 2015 | A1 |
20150324290 | Leidel | Nov 2015 | A1 |
20150325272 | Murphy | Nov 2015 | A1 |
20150356009 | Wheeler et al. | Dec 2015 | A1 |
20150356022 | Leidel | Dec 2015 | A1 |
20150357007 | Manning et al. | Dec 2015 | A1 |
20150357008 | Manning et al. | Dec 2015 | A1 |
20150357019 | Wheeler et al. | Dec 2015 | A1 |
20150357020 | Manning | Dec 2015 | A1 |
20150357021 | Hush | Dec 2015 | A1 |
20150357022 | Hush | Dec 2015 | A1 |
20150357023 | Hush | Dec 2015 | A1 |
20150357024 | Hush et al. | Dec 2015 | A1 |
20150357047 | Tiwari | Dec 2015 | A1 |
Number | Date | Country |
---|---|---|
102141905 | Aug 2011 | CN |
0214718 | Mar 1987 | EP |
2026209 | Feb 2009 | EP |
H0831168 | Feb 1996 | JP |
2009259193 | Mar 2015 | JP |
10-0211482 | Aug 1998 | KR |
10-2010-0134235 | Dec 2010 | KR |
10-2013-0049421 | May 2013 | KR |
2001065359 | Sep 2001 | WO |
2010079451 | Jul 2010 | WO |
2013062596 | May 2013 | WO |
2013081588 | Jun 2013 | WO |
2013095592 | Jun 2013 | WO |
Entry |
---|
Boyd et al., “On the General Applicability of Instruction-Set Randomization”, Jul.-Sep. 2010, (14 pgs.), vol. 7, Issue 3, IEEE Transactions on Dependable and Secure Computing. |
Stojmenovic, “Multiplicative Circulant Networks Topological Properties and Communication Algorithms”, (25 pgs.), Discrete Applied Mathematics 77 (1997) 281-305. |
“4.9.3 MINLOC and MAXLOC”, Jun. 12, 1995, (5pgs.), Message Passing Interface Forum 1.1, retrieved from http://www.mpi-forum.org/docs/mpi-1.1/mpi-11-html/node79.html. |
Derby, et al., “A High-Performance Embedded DSP Core with Novel SIMD Features”, Apr. 6-10, 2003, (4 pgs), vol. 2, pp. 301-304, 2003 IEEE International Conference on Accoustics, Speech, and Signal Processing. |
Debnath, Biplob, Bloomflash: Bloom Filter on Flash-Based Storage, 2011 31st Annual Conference on Distributed Computing Systems, Jun. 20-24, 2011, 10 pgs. |
Pagiamtzis, Kostas, “Content-Addressable Memory Introduction”, Jun. 25, 2007, (6 pgs.), retrieved from: http://www.pagiamtzis.com/cam/camintro. |
Pagiamtzis, et al., “Content-Addressable Memory (CAM) Circuits and Architectures: A Tutorial and Survey”, Mar. 2006, (16 pgs.), vol. 41, No. 3, IEEE Journal of Solid-State Circuits. |
International Search Report and Written Opinion for PCT Application No. PCT/US2013/043702, dated Sep. 26, 2013, (11 pgs.). |
Elliot, et al., “Computational RAM: Implementing Processors in Memory”, Jan.-Mar. 1999, (10 pgs.), vol. 16, Issue 1, IEEE Design and Test of Computers Magazine. |
Dybdahl, et al., “Destructive-Read in Embedded DRAM, Impact on Power Consumption,” Apr. 2006, (10 pgs.), vol. 2, Issue 2, Journal of Embedded Computing-Issues in embedded single-chip multicore architectures. |
Kogge, et al., “Processing in Memory: Chips to Petaflops,” May 23, 1997, (8 pgs.), retrieved from: http://www.cs.ucf.edu/courses/cda5106/summer02/papers/kogge97PIM.pdf. |
Draper, et al., “The Architecture of the DIVA Processing-In-Memory Chip,” Jun. 22-26, 2002, (12 pgs.), ICS '02, retrieved from: http://www.isi.edu˜draper/papers/ics02.pdf. |
Adibi, et al., “Processing-In-Memory Technology for Knowledge Discovery Algorithms,” Jun. 25, 2006, (10 pgs.), Proceeding of the Second International Workshop on Data Management on New Hardware, retrieved from: http://www.cs.cmu.edu/˜damon2006/pdf/adibi06inmemory.pdf. |
U.S. Appl. No. 13/449,082, entitled, “Methods and Apparatus for Pattern Matching,” filed Apr. 17, 2012, (37 pgs.). |
U.S. Appl. No. 13/743,686, entitled, “Weighted Search and Compare in a Memory Device,” filed Jan. 17, 2013, (25 pgs.). |
U.S. Appl. No. 13/774,636, entitled, “Memory as a Programmable Logic Device,” filed Feb. 22, 2013, (30 pgs.). |
U.S. Appl. No. 13/774,553, entitled, “Neural Network in a Memory Device,” filed Feb. 22, 2013, (63 pgs.). |
U.S. Appl. No. 13/796,189, entitled, “Performing Complex Arithmetic Functions in a Memory Device,” filed Mar. 12, 2013, (23 pgs.). |
Search Report and Written Opinion for related PCT Application No. PCT/US2017/017760, dated May 31, 2017, 12 pages. |
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20190189169 A1 | Jun 2019 | US |
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