The disclosure relates generally to a memory cell that may be used for computation.
An array of memory cells, such as dynamic random access memory (DRAM) cells, non-volatile memory cells, non-volatile storage devices or static random access memory (SRAM) cells or content addressable memory (CAM) cells, is a well-known mechanism used in various computer or processor based devices to store digital bits of data. The various computer and processor based devices may include computer systems, smartphone devices, consumer electronic products, televisions, internet switches and routers and the like. The array of memory cells are typically packaged in an integrated circuit or may be packaged within an integrated circuit that also has a processing device within the integrated circuit. The different types of typical memory cells have different capabilities and characteristics that distinguish each type of memory cell. For example, DRAM cells take longer to access, lose their data contents unless periodically refreshed, but are relatively cheap to manufacture due to the simple structure of each DRAM cell. SRAM cells, on the other hand, have faster access times, do not lose their data content unless power is removed from the SRAM cell and are relatively more expensive since each SRAM cell is more complicated than a DRAM cell. CAM cells have a unique function of being able to address content easily within the cells and are more expensive to manufacture since each CAM cell requires more circuitry to achieve the content addressing functionality.
Various computation devices that may be used to perform computations on digital, binary data are also well-known. The computation devices may include a microprocessor, a CPU, a microcontroller and the like. These computation devices are typically manufactured on an integrated circuit, but may also be manufactured on an integrated circuit that also has some amount of memory integrated onto the integrated circuit. In these known integrated circuits with a computation device and memory, the computation device performs the computation of the digital binary data bits while the memory is used to store various digital binary data including, for example, the instructions being executed by the computation device and the data being operated on by the computation device.
More recently, devices have been introduced that use memory arrays or storage cells to perform computation operations. In some of these devices, a processor array to perform computations may be formed from memory cells. These devices may be known as in-memory computational devices.
Big data operations are data processing operations in which a large amount of data must be processed. Machine learning uses artificial intelligence algorithms to analyze data and typically require a lot of data to perform. The big data operations and machine learning also are typically very computationally intensive applications that often encounter input/output issues due to a bandwidth bottleneck between the computational device and the memory that stores the data. The above in-memory computational devices may be used, for example, for these big data operations and machine learning applications since the in-memory computational devices perform the computations within the memory thereby eliminating the bandwidth bottleneck.
The in-memory computational devices typically use well known standard SRAM or DRAM or CAM memory cells that may perform computations. For example, a standard 6T SRAM cell that can be used for computation is shown in
When two cells connected to the same bit line are turned on, the bit line (BL) can perform an AND function of the two bits of data stored in the cells. During a read cycle, both BL and BLb have a static pull up transistor, and if the data in both of the cells is logic high “1”, then the BL stays as 1. If any or both of the data in the cells is/are logic low “0”, then the BL is pulled to a lower level and will be a logic 0. By sensing the BL level, an AND function is performed using the 2 cells. Similarly, if 3 cells are turned on, the BL value is a result of an AND function of data stored in the 3 cells. During a writing operation, multiple word lines (WL) can be turned on, so multiple cells can be written at the same time. In addition, the write can be done selectively, or Selective Write, meaning no write will be performed if both BL and BLb are held high during the write cycle.
The cell shown in
On a write cycle, the cell in
On a Selective Write cycle, the cell in
Thus, it is desirable to have a SRAM cell that may be used for computation that does not have drawbacks of the typical 6T SRAM cell shown in
The disclosure is particularly applicable to a static random access memory (SRAM) cell or array of cells or a processing array having the different layouts set forth below and it is in this context that the disclosure will be described. It will be appreciated, however, that the SRAM device and the processing array using the SRAM cells has greater utility since each SRAM cell may be configured/laid out differently than the embodiments described below and the changes to the configuration/layout of the dual port SRAM cell that may be used for computation are within the scope of the disclosure. For purposes of illustration, a dual port SRAM cell is disclosed below and in the figures. However, it is understood that the SRAM computation cell and processing array may also be implemented with an SRAM cell having three or more ports and the disclosure is not limited to the dual port SRAM cell disclosed below. It is also understood that the SRAM cell having three or more ports may be slightly differently constructed than the dual port SRAM shown in the figures, but one skilled in the art would understand how to construct those three or more port SRAMs for the disclosure below.
Furthermore, although an SRAM cell is used in the examples below, it is understood that the disclosed memory cell for computation and the processing array using the memory cells may be implemented using various different types of memory cells including the DRAMs, CAMs, non-volatile memory cells and non-volatile memory devices and these implementations using the various types of memory cells are within the scope of the disclosure.
The circuit in
In operation, the dual port SRAM cell may read data stored in the latch using a signal on the read word line (RE) to address/activate the dual port SRAM cell and the read bit line (RBL) to read the data stored in the dual port SRAM cell. The dual port SRAM cell may write data into the dual port SRAM cell by addressing/activating the dual port SRAM cell using a signal on the write word line (WE) and then writing data into the dual port SRAM cell using the word bit lines (WBL, WBLb).
During reading, multiple cells (with only a single cell being shown in
As shown in
The write port of the cell in
In a read cycle, the word line generator may generate one or multiple RE signals in a cycle to turn on/activate one or more cells and the RBL lines of the cells activated by the RE signal form AND or NOR functions whose output is sent to the respective BL Read/Write Logic. The BL Read/Write Logic processes the RBL result (the result of the AND or NOR operation) and sends the results back to its WBL/WBLb for use/writing back to the same cell, or to the neighboring BL Read/Write Logic for use/writing back to the neighboring cell, or send it out of the processing array. Alternatively, the BL Read/Write logic can store the RBL result from its own bit line or from the neighboring bit line in a latch within the BL Read/Write Logic so that, during a next or later cycle, the Read/Write logic can perform logic with the latched data that is the RBL result.
In a write cycle, the word line generator generates one or more WE signals for the cells into which data is to be written. The BL Read/Write Logic processes the write data, either from its own RBL, or from the neighboring RBL, or from out of the processing array. The ability of BL Read/Write Logic to process the data from the neighboring bit line means that the data can be shifting from one bit line to the neighboring bit line and one or more or all bit lines in the processing array may be shifting concurrently. The BL Read/Write Logic can also decide not to write for a Selective Write operation based on the RBL result. For example, the data on the WBL line can be written to a cell if RBL=1. If RBL=0, then write operation is not performed.
Transistors M43, M44 and M45 form a write port. This cell can be arrayed in the array device 30 as shown in
Returning to
During a write cycle, the WE signal of each unselected cell is 0, but one of the signals on the WBL and WBLb is 1. For example, in
Returning to
Returning to
The processing array 30 in
One example of the application for the processing array (an example of which is shown in
As another example, for an 8-bit word search, the data of an 8-bit word is stored in 8 cells, D[0:7], along the same bit line and the complement data of this 8-bit word is stored in another 8 cells, Db[0:7], also along the same bit line as the true data. The search key can be entered as 8 bits S[0:7] applied to the RE of the true data cells D[0:7] and 8 bits Sb[0:7] (Complement of S) applied to the RE of the complement data cell Db[0:7]. The bit line can be written as RBL=AND (XNOR (S[0], D[0]), XNOR (S[1], D[1]), . . . , XNOR(S[7], D[7]). If all 8 bits are matched, then RBL is 1. If any one or more bits are not matched, then RBL=0. Parallel search can be performed in one operation by arranging multiple data words along the same word line and on parallel bit lines with each word on one bit line. In such manner, the search result of every bit lines in the process array is generated in one operation.
The processing array (an example of which is shown in
Thus, a dual port static random access memory computation cell is disclosed that has a SRAM cell having a latch, a read port for reading data from the SRAM cell and a write port for writing data to the SRAM cell and an isolation circuit that isolates a data signal representing a piece of data stored in the latch of the SRAM cell from a read bit line. The read port may have a read word line that is coupled to the isolation circuit and activates the isolation circuit and the read bit line that is coupled to the isolation circuit and the write port has a write word line, a write bit line and complementary write bit line coupled to the SRAM cell. In the cell, the isolation circuit may further include a first transistor whose gate is coupled to the read word line and a second transistor whose gate is coupled to the data signal and the isolation circuit first and second transistors are both NMOS transistors or both PMOS transistors. The data signal of the cell may be a data signal or a complementary data signal. The SRAM cell may further have a first inverter having an input and an output and a second inverter having an input coupled to the output of the first inverter and an output coupled to the input of the first inverter, a first access transistor coupled to the input of the first inverter and the output of the second inverter and coupled to a write bit line and a second access transistor coupled to the output of the first inverter and the input of the second inverter and coupled to a complementary write bit line. The write port may further comprise a write word line coupled to the gates of the first and second access transistor and the write bit line and complementary write bit line coupled, respectively, to a source of each of the access transistors.
In another embodiment, the SRAM cell further comprises a first inverter having an input and an output and a second inverter having an input coupled to the output of the first inverter and an output coupled to the input of the first inverter, a first access transistor coupled to the input of the first inverter and the output of the second inverter and a gate of the first access transistor coupled to a write bit line and a second access transistor coupled to the output of the first inverter and the input of the second inverter and a gate of the second access transistor coupled to a complementary write bit line. In the other embodiment, the write port further comprises a write word line coupled to a gate of a write port transistor, a drain of the write port transistor coupled to a source of the first access transistor and a source of the second access transistor.
In yet another embodiment, the SRAM cell further comprises a first inverter having an input and an output and a second inverter having an input coupled to the output of the first inverter and an output coupled to the input of the first inverter, a first access transistor coupled to the input of the first inverter and the output of the second inverter and a gate coupled to a write bit line and a second access transistor coupled to the output of the first inverter and the input of the second inverter and a gate coupled to a write complementary bit line. In that embodiment, the write port further comprises a write word line coupled to a gate of each of a first and second write port transistors, a drain of the first write port transistor coupled to a source of the first access transistor and a drain of the second write port transistor coupled to a source of the second access transistor.
In another embodiment, the SRAM cell further comprises a first inverter having an input and an output and a second inverter having an input coupled to the output of the first inverter and an output coupled to the input of the first inverter, a first access transistor coupled to the input of the first inverter and the output of the second inverter and a gate of the first access transistor being coupled to a write word line and a second access transistor coupled to the output of the first inverter and the input of the second inverter and a gate of the second access transistor being coupled to the write word line. In this embodiment, the write port further comprises a first write port transistor whose gate is coupled to a complementary write bit line and whose drain is coupled to a source of the first access transistor and a second write port transistor whose gate is coupled to a write bit line and whose drain is coupled to a source of the second access transistor.
Each of the different embodiments of the dual port static random access memory computation cell can perform a Selective Write operation and can perform a Boolean AND, a Boolean NOR, a Boolean NAND or a Boolean OR operation. Each of the different embodiments of the dual port static random access memory computation cell can also perform search operation.
A processing array is also disclosed that has a plurality of dual port SRAM cells arranged in an array, a word line generator that is coupled to a read word line signal and a write word line signal for each dual port SRAM cell in the array and a plurality of bit line read and write logic circuits that are coupled to the read bit line, write bit line, complementary write bit line of each dual port SRAM cell. In the processing array, each dual port SRAM cell is coupled to a write word line and a read word line whose signals are generated by the word line generator and also being coupled to a read bit line, a write bit line and a complementary write bit line that are sensed by one of the plurality of bit line read and write logic circuits and each dual port SRAM cell having an isolation circuit that isolates a data signal representing a piece of data stored in the latch of the SRAM cell from a read bit line. In the processing array, one or more of the dual port SRAM cells are coupled to the read bit lines and perform a computational operation. The processing array may utilize the above disclosed dual port SRAM cells. The processing array can perform a Selective Write operation and can perform a Boolean AND, a Boolean NOR, a Boolean NAND or a Boolean OR operation. The processing array can also perform a search operation. The processing array can also do parallel shifting operation to shift the data from one bit line to the neighboring bit line on one or more or all bit lines concurrently. Furthermore, the processing array can activate read and write logic concurrently.
As set forth above, the disclosed computation SRAM cell and processing array may be implemented using an SRAM cell having more than 2 ports, such as a 3 port SRAM, a 4 port SRAM, etc. For example, the SRAM computation cell may be a 3-port cell that has 2 read ports and 1 write port. In this non-limiting example, the 3 port SRAM cell may be used to perform an operation like Y=OR (AND (A, B), AND (A,C)) more efficiently. Using the 3 port SRAM, the value of variable A is used twice using the 2 read ports. In this example operation, Y can be calculated in one cycle in which an AND (A,B) result is on RBL1 and an AND (A,C) result is on RBL2; and on the same cycle RBL2 data can be sent to RBL1 to do the OR operation to generate the final result. Therefore, this logic equation/operation can be done in 1 cycle when word lines are toggled once to generate the result, compared to 2 cycles of the dual port cell. Similarly, a 4 port SRAM cell could be used as well and the disclosure is not limited to any particular number of ports of the SRAM cell.
The foregoing description, for purpose of explanation, has been described with reference to specific embodiments. However, the illustrative discussions above are not intended to be exhaustive or to limit the disclosure to the precise forms disclosed. Many modifications and variations are possible in view of the above teachings. The embodiments were chosen and described in order to best explain the principles of the disclosure and its practical applications, to thereby enable others skilled in the art to best utilize the disclosure and various embodiments with various modifications as are suited to the particular use contemplated.
The system and method disclosed herein may be implemented via one or more components, systems, servers, appliances, other subcomponents, or distributed between such elements. When implemented as a system, such systems may include and/or involve, inter alia, components such as software modules, general-purpose CPU, RAM, etc. found in general-purpose computers. In implementations where the innovations reside on a server, such a server may include or involve components such as CPU, RAM, etc., such as those found in general-purpose computers.
Additionally, the system and method herein may be achieved via implementations with disparate or entirely different software, hardware and/or firmware components, beyond that set forth above. With regard to such other components (e.g., software, processing components, etc.) and/or computer-readable media associated with or embodying the present inventions, for example, aspects of the innovations herein may be implemented consistent with numerous general purpose or special purpose computing systems or configurations. Various exemplary computing systems, environments, and/or configurations that may be suitable for use with the innovations herein may include, but are not limited to: software or other components within or embodied on personal computers, servers or server computing devices such as routing/connectivity components, hand-held or laptop devices, multiprocessor systems, microprocessor-based systems, set top boxes, consumer electronic devices, network PCs, other existing computer platforms, distributed computing environments that include one or more of the above systems or devices, etc.
In some instances, aspects of the system and method may be achieved via or performed by logic and/or logic instructions including program modules, executed in association with such components or circuitry, for example. In general, program modules may include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular instructions herein. The inventions may also be practiced in the context of distributed software, computer, or circuit settings where circuitry is connected via communication buses, circuitry or links. In distributed settings, control/instructions may occur from both local and remote computer storage media including memory storage devices.
The software, circuitry and components herein may also include and/or utilize one or more type of computer readable media. Computer readable media can be any available media that is resident on, associable with, or can be accessed by such circuits and/or computing components. By way of example, and not limitation, computer readable media may comprise computer storage media and communication media. Computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disks (DVD) or other optical storage, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and can accessed by computing component. Communication media may comprise computer readable instructions, data structures, program modules and/or other components. Further, communication media may include wired media such as a wired network or direct-wired connection, however no media of any such type herein includes transitory media. Combinations of the any of the above are also included within the scope of computer readable media.
In the present description, the terms component, module, device, etc. may refer to any type of logical or functional software elements, circuits, blocks and/or processes that may be implemented in a variety of ways. For example, the functions of various circuits and/or blocks can be combined with one another into any other number of modules. Each module may even be implemented as a software program stored on a tangible memory (e.g., random access memory, read only memory, CD-ROM memory, hard disk drive, etc.) to be read by a central processing unit to implement the functions of the innovations herein. Or, the modules can comprise programming instructions transmitted to a general purpose computer or to processing/graphics hardware via a transmission carrier wave. Also, the modules can be implemented as hardware logic circuitry implementing the functions encompassed by the innovations herein. Finally, the modules can be implemented using special purpose instructions (SIMD instructions), field programmable logic arrays or any mix thereof which provides the desired level performance and cost.
As disclosed herein, features consistent with the disclosure may be implemented via computer-hardware, software and/or firmware. For example, the systems and methods disclosed herein may be embodied in various forms including, for example, a data processor, such as a computer that also includes a database, digital electronic circuitry, firmware, software, or in combinations of them. Further, while some of the disclosed implementations describe specific hardware components, systems and methods consistent with the innovations herein may be implemented with any combination of hardware, software and/or firmware. Moreover, the above-noted features and other aspects and principles of the innovations herein may be implemented in various environments. Such environments and related applications may be specially constructed for performing the various routines, processes and/or operations according to the invention or they may include a general-purpose computer or computing platform selectively activated or reconfigured by code to provide the necessary functionality. The processes disclosed herein are not inherently related to any particular computer, network, architecture, environment, or other apparatus, and may be implemented by a suitable combination of hardware, software, and/or firmware. For example, various general-purpose machines may be used with programs written in accordance with teachings of the invention, or it may be more convenient to construct a specialized apparatus or system to perform the required methods and techniques.
Aspects of the method and system described herein, such as the logic, may also be implemented as functionality programmed into any of a variety of circuitry, including programmable logic devices (“PLDs”), such as field programmable gate arrays (“FPGAs”), programmable array logic (“PAL”) devices, electrically programmable logic and memory devices and standard cell-based devices, as well as application specific integrated circuits. Some other possibilities for implementing aspects include: memory devices, microcontrollers with memory (such as EEPROM), embedded microprocessors, firmware, software, etc. Furthermore, aspects may be embodied in microprocessors having software-based circuit emulation, discrete logic (sequential and combinatorial), custom devices, fuzzy (neural) logic, quantum devices, and hybrids of any of the above device types. The underlying device technologies may be provided in a variety of component types, e.g., metal-oxide semiconductor field-effect transistor (“MOSFET”) technologies like complementary metal-oxide semiconductor (“CMOS”), bipolar technologies like emitter-coupled logic (“ECL”), polymer technologies (e.g., silicon-conjugated polymer and metal-conjugated polymer-metal structures), mixed analog and digital, and so on.
It should also be noted that the various logic and/or functions disclosed herein may be enabled using any number of combinations of hardware, firmware, and/or as data and/or instructions embodied in various machine-readable or computer-readable media, in terms of their behavioral, register transfer, logic component, and/or other characteristics. Computer-readable media in which such formatted data and/or instructions may be embodied include, but are not limited to, non-volatile storage media in various forms (e.g., optical, magnetic or semiconductor storage media) though again does not include transitory media. Unless the context clearly requires otherwise, throughout the description, the words “comprise,” “comprising,” and the like are to be construed in an inclusive sense as opposed to an exclusive or exhaustive sense; that is to say, in a sense of “including, but not limited to.” Words using the singular or plural number also include the plural or singular number respectively. Additionally, the words “herein,” “hereunder,” “above,” “below,” and words of similar import refer to this application as a whole and not to any particular portions of this application. When the word “or” is used in reference to a list of two or more items, that word covers all of the following interpretations of the word: any of the items in the list, all of the items in the list and any combination of the items in the list.
Although certain presently preferred implementations of the invention have been specifically described herein, it will be apparent to those skilled in the art to which the invention pertains that variations and modifications of the various implementations shown and described herein may be made without departing from the spirit and scope of the invention. Accordingly, it is intended that the invention be limited only to the extent required by the applicable rules of law.
While the foregoing has been with reference to a particular embodiment of the disclosure, it will be appreciated by those skilled in the art that changes in this embodiment may be made without departing from the principles and spirit of the disclosure, the scope of which is defined by the appended claims.
This application claims the benefit and priority under 35 USC 119(e) and 120 to U.S. Provisional Patent Application Ser. No. 62/430,762 filed on Dec. 6, 2016 and entitled “Computational Dual Port Sram Cell And Processing Array Device Using The Dual Port Sram Cells”, the entirety of which is incorporated herein by reference.
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