The present disclosure relates generally to semiconductor memory and methods, and more particularly, to apparatuses and methods related to a scan chain operation in sensing circuitry.
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 such as arithmetic logic unit (ALU) circuitry, floating point unit (FPU) circuitry, and a combinatorial logic block, for example, which can be used to execute instructions by performing logical operations such as AND, OR, NOT, NAND, NOR, and XOR, and invert (e.g., inversion) logical operations on data (e.g., one or more operands). For example, functional unit circuitry may be used to perform arithmetic operations such as addition, subtraction, multiplication, and division on operands via a number of logical operations in addition to scan chain operations.
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 executed, 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) may be stored in a memory array that is accessible by the functional unit circuitry. The instructions and 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 instructions and 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 is accessed via a bus between the processing resources and the memory array to execute a set of instructions. Processing performance may be improved in a processor-in-memory (PIM) device, in which a processor may be implemented internal and/or near to a memory (e.g., directly on a same chip as the memory array), which may reduce time in processing and may also conserve power. Data movement between and within arrays and/or subarrays of various memory devices, such as processing-in-memory devices, can affect processing time and/or power consumption.
The present disclosure includes apparatuses and methods related to scan chain operation in sensing circuitry. A number of embodiments include an apparatus comprising an array of memory cells coupled to sensing circuitry, the sensing circuitry to receive a scan vector and perform a scan chain operation on the scan vector. The sensing circuitry can include a sense amplifier and a compute component. In at least one embodiment, the apparatus can include a controller coupled to the sensing circuitry. The controller can control performing the scan chain operation on the scan vector to yield a resultant scan vector. As used herein, a “scan vector” or “scan chain vector” is a physically contiguous number of bits that can be stored, shifted, read, and/or written to or from a memory device.
A number of embodiments of the present disclosure include a method of performing a scan chain operation in sensing circuitry including a sense amplifier and a compute component that can include storing a scan vector in sensing circuitry, and performing a scan chain operation on the scan vector.
A number of embodiments of the present disclosure can utilize sensing circuitry to facilitate scan chain operations in a more efficient manner as compared to previous approaches. For example, embodiments include providing sensing circuitry (e.g., one or more sense amplifier stripes and one or more compute components) to store, read, and/or write a scan vector such that power consumption and/or processing time associated with performing a scan chain operation can be reduced in comparison to previous approaches, which can include moving one or more scan vectors in or out of the scan chain via an I/O bus. For example, scan chain operations can be performed in sensing circuitry and can therefore be carried out with a reduced amount of power and/or time versus approaches that include performing scan chain operations on separate circuitry (e.g., circuitry external to sensing circuitry). Further, performing scan chain operations in sensing circuitry can save space and/or require less circuitry than some previous approaches.
A number of embodiments disclosed herein can be implemented on a memory device that includes shift registers disposed in one or more sense amplifier stripes. As used herein, a “sense amplifier stripe” is a plurality of sense amplifiers that are each physically associated with a subarray of memory cells (e.g. a subarray of memory cells associated with a memory bank). In at least one embodiment, scan chain operation in sensing circuitry can be performed using one or more of the shift registers. For example, one or more of the shift registers associated with the memory device can operate as scan input storage and/or scan output storage. Accordingly, a number of embodiments of the present disclosure can provide improved parallelism and/or reduced power consumption in association with performing scan chain operations as compared to previous systems such as systems having an external processor (e.g., a processing resource located external from a memory array, such as on a separate integrated circuit chip) and/or systems including external circuitry to perform scan chain operations.
A number of apparatuses and methods described herein can use sensing circuitry to read and/or write scan vectors directly to the memory array, without a scan_in pin and/or scan_out pin, for example. In at least one embodiment, a scan chain operation in sensing circuitry can be carried out by writing input scan vectors to the memory array and writing output scan vectors to another portion of the memory array. For example, an 8 gigabit (Gb) memory array can be equally divided between input scan vectors and output scan vectors such that 4 Gb is available for storing input scan vectors and 4 Gb is available for storing output scan vectors. Accordingly, the size of each input scan vector may be limited by an amount of space available in the memory array. However, according to embodiments, large scan vectors may be broken into multiple pieces, which can be subjected to scan chain operations either in series or in parallel. In this example, if a scan vector exceeds the available storage on the memory array, the scan vector can be broken into multiple pieces, for example, 512 Megabyte (MB) pieces. Embodiments are not so limited; however, and the storage available on the memory array for input scan vectors and output scan vectors can be divided into sizes different than 4 GB and/or the size of the pieces can be different than 512 MB.
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, designators such as “N”, “M”, etc., particularly with respect to reference numerals in the drawings, indicate 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). A “plurality of” is intended to refer to more than one of such things.
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, 150 may reference element “50” 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 data bus 156 (e.g., an I/O bus) through I/O circuitry 144 and/or to latch address signals provided over control bus 154. 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. 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.
Controller 140, e.g., bank control logic and/or sequencer, 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 controller 140 is responsible for executing instructions from the host 110 and sequencing access to the array 130. The controller 140 can be a state machine (e.g., hardware and/or firmware in the form of an application specific integrated circuit (ASIC)), a sequencer, or some other type of controller. The controller 140 can control, for example, reading and writing scan vectors into and out of sensing circuitry that can be configured to operate as a shift register, and/or can control timing of scan chain operations performed on a scan vector. For example, as described in more detail herein, controller 140 can be in communication with sensing circuitry configured to operate as a shift register to facilitate performing scan chain operations in sensing circuitry. As used herein, a “scan chain operation” includes one or more of: receiving (e.g., scanning in, shifting in) an input scan vector, storing (e.g., capturing) the scan vector and writing (e.g., scanning out, shifting out) the scan vector out of sensing circuitry configured to operate as a shift register. For example, according to embodiments, a scan vector can be shifted into sensing circuitry 150, the scan vector can be stored, for example, by asserting a capture clock pulse, and the resultant scan vector can be shifted out of the sensing circuitry 150, for example, to different sensing circuitry or to a portion of the memory array 130.
Example sensing circuitry 150 is described further below. For instance, in a number of embodiments, the sensing circuitry 150 can comprise a number of sense amplifiers and a number of compute components, which may serve as, and be referred to herein as an accumulator, and which can be used to perform logical operations (e.g., on data associated with complementary data lines). In at least one embodiment, storage locations (e.g., latches) corresponding to the compute components can comprise at least a portion of a shift register.
In a number of embodiments, the sensing circuitry 150 can be used to perform logical and/or scan chain operations using data stored in array 130 as inputs and store the results of the logical and/or scan chain 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 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 store the results of such logical operations 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. According to embodiments, at least one sequence of operations provides a scan chain operation. The sensing circuitry 150 can be formed on pitch with the memory cells of the array.
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). In at least one embodiment, scan chain operations can be performed using the sensing circuitry 150 without the use of 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. In at least one embodiment, some scan chain operations can be performed using the sensing circuitry 150, while some scan chain operations can be performed by an external processing resource (e.g., host 110).
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, including scan chain 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 of logical operations performed by sensing circuitry 150 to a suitable location other than back to the array 130 (e.g., to an external register).
Although not shown, memory cells are coupled to the pairs of complementary sense lines 205-1 and 205-2 (e.g., columns). The memory cells (e.g., 130 illustrated in
Memory cells can be coupled to different data lines and/or word lines. For example, a first source/drain region of an access transistor of a memory cell can be coupled to a data line 205-1 (D), a second source/drain region of the access transistor of the memory cell can be coupled to a capacitor of the memory cell, and a gate of the access transistor of the memory cell can be coupled to a word line of the memory array.
As shown in
In the example illustrated in
The gates of the pass gates 207-1 and 207-2 can be controlled by a logical operation selection logic signal, Pass. For example, an output of the logical operation selection logic 213 can be coupled to the gates of the pass gates 207-1 and 207-2.
The sensing circuitry shown in
According to various embodiments, the logical operation selection logic 213 can include four logic selection transistors: logic selection transistor 262 coupled between the gates of the swap transistors 242 and a TF signal control line, logic selection transistor 252 coupled between the gates of the pass gates 207-1 and 207-2 and a TT signal control line, logic selection transistor 254 coupled between the gates of the pass gates 207-1 and 207-2 and a FT signal control line, and logic selection transistor 264 coupled between the gates of the swap transistors 242 and a FF signal control line. Gates of logic selection transistors 262 and 252 are coupled to the true sense line through isolation transistor 250-1 (having a gate coupled to an ISO signal control line). Gates of logic selection transistors 264 and 254 are coupled to the complementary sense line through isolation transistor 250-2 (also having a gate coupled to an ISO signal control line).
According to embodiments, data values associated with a scan chain vector present on the pair of complementary sense lines 205-1 and 205-2 can be loaded into the compute component 231 via the pass gates 207-1 and 207-2. When the pass gates 207-1 and 207-2 are OPEN, data values on the pair of complementary sense lines 205-1 and 205-2 are passed to the compute component 231, which is operable as a shift register, and are thereby loaded into the loadable shift register. The data values on the pair of complementary sense lines 205-1 and 205-2 can be the data values stored in the sense amplifier 206 when the sense amplifier is enabled (e.g., fired) or data values stored in the memory array 130. In some embodiments, the logical operation selection logic signal, Pass, is activated to OPEN (e.g., turn on) the pass gates 207-1 and 207-2.
The ISO, TF, TT, FT, and FF control signals can operate to select a logical operation to implement based on the data value (“B”) in the sense amplifier 206 and the data value (“A”) in the compute component 231 (e.g., as used herein, the data value stored in a latch of a sense amplifier is referred to as a “B” data value, and the data value stored in a latch of a compute component is referred to as an “A” data value). In particular, the ISO, TF, TT, FT, and FF control signals are configured to select the logical operation (e.g., function) to implement independent from the data value present on the pair of complementary sense lines 205-1 and 205-2 (although the result of the implemented logical operation can be dependent on the data value present on the pair of complementary sense lines 205-1 and 205-2. That is, the ISO, TF, TT, FT, and FF control signals select the logical operation to implement directly since the data value present on the pair of complementary sense lines 205-1 and 205-2 is not passed through logic to operate the gates of the pass gates 207-1 and 207-2.
Additionally,
As an example, the logical operation selection logic signal Pass can be activated (e.g., high) to OPEN (e.g., turn on) the pass gates 207-1 and 207-2 when the ISO control signal line is activated and either the TT control signal is activated (e.g., high) with the data value on the true sense line being “1” or the FT control signal is activated (e.g., high) with the data value on the complement sense line being “1.”
The data value on the true sense line being a “1” OPENs logic selection transistors 252 and 262. The data value on the complementary sense line being a “1” OPENs logic selection transistors 254 and 264. If the ISO control signal or either the respective TT/FT control signal or the data value on the corresponding sense line (e.g., sense line to which the gate of the particular logic selection transistor is coupled) is not high, then the pass gates 207-1 and 207-2 will not be OPENed by a particular logic selection transistor.
The logical operation selection logic signal Pass* can be activated (e.g., high) to OPEN (e.g., turn on) the swap transistors 242 when the ISO control signal line is activated and either the TF control signal is activated (e.g., high) with data value on the true sense line being “1,” or the FF control signal is activated (e.g., high) with the data value on the complement sense line being “1.” If either the respective control signal or the data value on the corresponding sense line (e.g., sense line to which the gate of the particular logic selection transistor is coupled) is not high, then the swap transistors 242 will not be OPENed by a particular logic selection transistor.
The sensing circuitry illustrated in
Although not shown in
As noted above, the compute components 231 can function as a loadable shift register. In this example, each compute component 231 is coupled to a corresponding pair of complementary data lines 205-1/205-2, with a node ST2 being coupled to the particular data line (e.g., DIGIT(n)) communicating a “true” data value and with node SF2 being coupled to the corresponding complementary data line (e.g., DIGIT(n)_) communicating the complementary data value (e.g., “false” data value).
In this example, compute components 231 of the sensing circuitry function as a loadable shift register comprising a first right-shift transistor 281 of a particular compute component 231 having a gate coupled to a first right-shift control line 282 (e.g., PHASE 1R), and a second right-shift transistor 286 of the particular compute component 231 having a gate coupled to a second right-shift control line 283 (e.g., PHASE 2R). Node ST2 of the particular control component is coupled to an input of a first inverter 287, whose output (e.g., node SF1) is coupled to a first source/drain region of transistor 286. The second source/drain region of transistor 286 is coupled to the input (e.g., node SF2) of a second inverter 288. The output (e.g., node ST1) of inverter 288 is coupled to a first source/drain region of transistor 281, and a second source/drain region of transistor 281 the particular compute component 231 is coupled to an input (e.g., node ST2) of a first inverter 287 of an adjacent compute component 231. In this manner, compute component 231 functions as the loadable shift register shown in
In a scan chain operation, a data value on a pair of complementary data lines (e.g., 205-1/205-2) can be loaded into a corresponding compute component 231 (e.g., by operating logical operation selection logic as described above). As an example, a data value can be loaded into a compute component 231 via overwriting of the data value currently stored in the compute component 231 with the data value stored in the corresponding sense amplifier 206. Alternatively, a data value may be loaded into a compute component by deactivating the control lines 282, 283, 291, and 292. In at least one embodiment, the data loaded into the compute component 231 can be a scan vector associated with a scan chain operation.
Once a data value associated with a scan vector is loaded into a compute component 231, the “true” data value is separated from the complement data value by the first inverter 287. Shifting data to the right (e.g., to an adjacent compute component 231) can include alternating operation of the first right-shift transistor 281 and the second right-shift transistor 286, for example, via the PHASE 1R and PHASE 2R control signals being periodic signals that go high out of phase from one another (e.g., non-overlapping alternating square waves 180 out of phase). The transistor 290 can be turned on to latch the shifted data value.
An example of shifting data left via the shift register shown in
Embodiments of the present disclosure are not limited to the shifting capability described in association with the compute components 231. For example, a number of embodiments and include shift circuitry in addition to and/or instead of the shift circuitry described in association with a sensing component of the sensing circuitry functioning as a loadable shift register. In at least one embodiment, the additional shift circuitry can operate in a similar manner to a plurality of flip-flops, thereby facilitating scan chain operations.
The sensing circuitry in
For example, if the sense amplifier 206 is equilibrated and the PASS and/or PASS* control signals are activated to provide a conduction path (e.g., electrical continuity) between the sense amplifier 206 and the compute component 231, then a data value stored in the compute component 231 can be transferred from the compute component 231 to the sense amplifier 206. In some embodiments, data values of a scan vector can be transferred from the compute component 231 to the sense amplifier 206 to perform a scan chain operation. For example, a scan vector can be written to the sense amplifier 206 in preparation for a scan chain operations. In some embodiments, the scan vector can be transferred from the sense amplifier 206 to the compute component 231 in response to the scan chain operation completing.
If the sense amplifier 206 is configured to store a first bit (e.g., first data value) of a scan vector and the PASS and/or PASS* control signals are activated to provide a conduction path between the sense amplifier 206 and the compute component 231, then a second bit of the scan vector (e.g., second data value) that is stored in the compute component 231 before the activation of the PASS and/or PASS* control signals can be replaced by the first bit and the sense amplifier 206 retains the first bit. Furthermore, a number of operations can be performed using the first bit and the second bit using the logical operation selection logic 213 and the result of the operation can be stored in the compute component 231.
Using an equilibration signal to direct the transfer of data between the sense amplifier 206 and the compute component 231 can provide the ability to selectively perform an operation in sense amplifiers that are not equilibrated without performing the operation in sense amplifiers that are equilibrated. That is, a PASS and/or a PASS* control signal can be activated in a plurality of sensing components to move data between a first group of a plurality of sense amplifiers that are equilibrated and a first group of a plurality of compute components. The PASS and/or PASS* control signals can also be activated to move data between a second group of the plurality of sense amplifiers and a second group of the plurality of component components that are not equilibrated to selectively perform an operation in a second group of sense components while not performing the operation on a first group of sense components.
The cells of the memory array 230 can be arranged in rows coupled by word lines 204-X (ROW X), 204-Y (ROW Y), etc., and columns coupled by pairs of complementary sense lines (e.g., data lines DIGIT(n)/DIGIT(n)_). The individual sense lines corresponding to each pair of complementary sense lines can also be referred to as data lines 205-1 (D) and 205-2 (D_) respectively. Although only one pair of complementary data lines (e.g., one column) are shown in
Memory cells can be coupled to different data lines and/or word lines. For example, a first source/drain region of a transistor 202-1 can be coupled to data line 205-1 (D), a second source/drain region of transistor 202-1 can be coupled to capacitor 203-1, and a gate of a transistor 202-1 can be coupled to word line 204-Y. A first source/drain region of a transistor 202-2 can be coupled to data line 205-2 (D_), a second source/drain region of transistor 202-2 can be coupled to capacitor 203-2, and a gate of a transistor 202-2 can be coupled to word line 204-X. The cell plate, as shown in
The memory array 230 is coupled to sensing circuitry 250 in accordance with a number of embodiments of the present disclosure. In this example, the sensing circuitry 250 comprises a sense amplifier 206 and a compute component 231 corresponding to respective columns of memory cells (e.g., coupled to respective pairs of complementary data lines). The sensing circuitry 250 can correspond to sensing circuitry 150 shown in
The logical operation selection logic 213 can be configured to include pass gate logic for controlling pass gates that couple the pair of complementary sense lines 205-1 and 205-2 un-transposed between the sense amplifier 206 and the compute component 231 (as shown in
The sense amplifier 206 can be operated to determine a data value (e.g., logic state) stored in a selected memory cell. The sense amplifier 206 can comprise a cross coupled latch, which can be referred to herein as a primary latch. In the example illustrated in
In operation, when a memory cell is being sensed (e.g., read), the voltage on one of the data lines 205-1 (D) or 205-2 (D_) will be slightly greater than the voltage on the other one of data lines 205-1 (D) or 205-2 (D_). An ACT signal can be driven high and the RNL* signal can be driven low to enable (e.g., fire) the sense amplifier 206. The data line 205-1 (D) or 205-2 (D_) having the lower voltage will turn on one of the PMOS transistor 229-1 or 229-2 to a greater extent than the other of PMOS transistor 229-1 or 229-2, thereby driving high the data line 205-1 (D) or 205-2 (D_) having the higher voltage to a greater extent than the other data line 205-1 (D) or 205-2 (D_) is driven high.
Similarly, the data line 205-1 (D) or 205-2 (D_) having the higher voltage will turn on one of the NMOS transistor 227-1 or 227-2 to a greater extent than the other of the NMOS transistor 227-1 or 227-2, thereby driving low the data line 205-1 (D) or 205-2 (D_) having the lower voltage to a greater extent than the other data line 205-1 (D) or 205-2 (D_) is driven low. As a result, after a short delay, the data line 205-1 (D) or 205-2 (D_) having the slightly greater voltage is driven to the voltage of the supply voltage VDD (e.g., through a source transistor 211), and the other data line 205-1 (D) or 205-2 (D_) is driven to the voltage of the reference voltage (e.g., to ground (GND) through a sink transistor 219). Therefore, the cross coupled NMOS transistors 227-1 and 227-2 and PMOS transistors 229-1 and 229-2 serve as a sense amplifier pair, which amplify the differential voltage on the data lines 205-1 (D) and 205-2 (D_) and operate to latch a data value sensed from the selected memory cell.
Embodiments are not limited to the sense amplifier 206 configuration illustrated in
The sense amplifier 206 can, in conjunction with the compute component 231, be operated to perform various logical operations, including scan chain operations, using data from an array as input. In a number of embodiments, the result of a logical operation can be stored back to the array without transferring the data via a data line address access (e.g., without firing a column decode signal such that data is transferred to circuitry external from the array and sensing circuitry via local I/O lines). As such, a number of embodiments of the present disclosure can enable performing logical operations and compute functions associated therewith using less power than various previous approaches. Additionally, since a number of embodiments can eliminate the need to transfer data across I/O lines in order to perform operations (e.g., between memory and discrete processor), a number of embodiments can enable an increased parallel processing capability as compared to previous approaches.
The sense amplifier 206 can further include equilibration circuitry 214, which can be configured to equilibrate the data lines 205-1 (D) and 205-2 (D_). In this example, the equilibration circuitry 214 comprises a transistor 224 coupled between data lines 205-1 (D) and 205-2 (D_). The equilibration circuitry 214 also comprises transistors 225-1 and 225-2 each having a first source/drain region coupled to an equilibration voltage (e.g., VDD/2), where VDD is a supply voltage associated with the array. A second source/drain region of transistor 225-1 can be coupled data line 205-1 (D), and a second source/drain region of transistor 225-2 can be coupled data line 205-2 (D_). Gates of transistors 224, 225-1, and 225-2 can be coupled together, and to an equilibration (EQ) control signal line 226. As such, activating EQ enables the transistors 224, 225-1, and 225-2, which effectively shorts data lines 205-1 (D) and 205-2 (D_) together and to the an equilibration voltage (e.g., VDD/2).
Although
As described further below, in a number of embodiments, the sensing circuitry (e.g., sense amplifier 206 and compute component 231) can be operated as a loadable shift register to perform a scan chain operation and initially store the result in one of the sense amplifier 206 or the compute component 231 without transferring data from the sensing circuitry via an I/O line (e.g., without performing a data line address access via activation of a column decode signal, for instance).
Performance of logical operations (e.g., Boolean logical functions involving data values) is fundamental and commonly used. Boolean logical functions are used in many higher level functions. Consequently, speed and/or power efficiencies that can be realized with improved logical operations, which can translate into speed and/or power efficiencies of higher order functionalities. Described herein are apparatuses and methods for performing logical operations without transferring data via an input/output (I/O) line and/or without transferring data to a control component external to the array. Depending on memory array architecture, the apparatuses and methods for performing the logical operations may not require amplification of a sense line (e.g., data line, digit line, bit line) pair.
As shown in
The logic tables illustrated in
Via selective control of the pass gates 207-1 and 207-2 and the swap transistors 242, each of the three columns of the upper portion of Logic Table 2-1 can be combined with each of the three columns of the lower portion of Logic Table 2-1 to provide nine (e.g., 3×3) different result combinations, corresponding to nine different logical operations, as indicated by the various connecting paths shown at 275. The nine different selectable logical operations that can be implemented by the sensing circuitry 250 are summarized in Logic Table 2-2.
The columns of Logic Table 2-2 show a heading 280 that includes the states of logic selection control signals (e.g., FF, FT, TF, TT). For example, the state of a first logic selection control signal (e.g., FF) is provided in row 276, the state of a second logic selection control signal (e.g., FT) is provided in row 277, the state of a third logic selection control signal (e.g., TF) is provided in row 278, and the state of a fourth logic selection control signal (e.g., TT) is provided in row 279. The particular logical operation corresponding to the results is summarized in row 247.
Following the clock cycle pulse 463, scan enable 453 can be driven high again and a second scan vector 467 can be scanned in (e.g., by exciting scan_in signal 455). The resulting scan vector 469 from scan vector 461 can be scanned out (e.g., by exciting scan_out signal 457). In at least one embodiment, resulting scan vector 469 can be scanned out in parallel with second scan vector 467 being scanned in (e.g., by exciting scan_in signal 453).
In some embodiments, scan vectors 461 of various lengths can be subjected to scan chain operations in sensing circuitry. For example, if a scan vector (e.g., second scan vector 467) is longer than a remaining length of a page of DRAM, the scan vector (e.g., second scan vector 467) can be split into one or more portions that are each shorter than a maximum length available to be scanned in. In this example, a next portion of the scan vector can be scanned in (e.g., by exciting scan enable signal 453) in response to completion of a scan chain operation on a previous portion of the scan vector. However, if the length of the scan vector (e.g., scan vector 461) is less than a page size of DRAM, the scan vector may not need to be divided into one or more portions, and the scan chain operation can be completed without fetching additional portions of the scan vector. In at least one embodiment, determining if a scan vector 461 is to be split into one or more portions, and/or coordination of performing scan chain operations on one or more portions of a truncated scan vector 461 is controlled by a controller (e.g., controller 140). In some embodiments, a memory tester can be provided to perform scan vector 461 truncation and coordination.
Some embodiments allow for on-die comparison between a resultant scan vector 469 and an expected result vector. In at least one embodiment, compression can be implemented in the memory array (e.g., memory array 130), which can allow for a final pattern read out to be presented as a pass/fail flag. For example, the sensing circuitry can provide ample elements to perform a comparison of the resultant scan vector 469 to a base set of expected data and/or to perform compression computations to reduce a size of the resultant scan vector 469.
In some embodiments, an example procedure for performing scan chain operations in sensing circuitry can include writing one or more input scan vectors and/or expected output vectors to DRAM. The input scan vector 461 can be moved from the DRAM to sensing circuitry (e.g., sensing circuitry 150). A scan can be initiated, for example, by clocking the input scan vector 461 into the scan chain (e.g., sensing circuitry 150, shift register, etc.). If the input scan vector 461 is larger than the space available in the scan chain, a next portion of the input scan vector 461 can be retrieved. After the scan operation is completed, the output scan vector 469 can be XNORed with the expected output vector. In some embodiments, a result of the XNOR operation can be stored in the memory array (e.g., memory array 130) or in the sensing circuitry (e.g., sensing circuitry 150). In some embodiments, applying the XNOR operation to the output scan vector 469 and the expected output vector can compress the result such that the final result can be stored as a single bit (e.g., a pass/fail flag).
The timing diagram shown in
As shown in
With the ROW X data value latched in the compute component 231, equilibration is disabled (e.g., EQ goes low at time T9). At time T10, ROW Y goes high to access (e.g., select) the ROW Y memory cell. At time T11, the sense amplifier 206 is enabled (e.g., SENSE AMP goes high), which drives the complementary sense lines 205-1 and 205-2 to the appropriate rail voltages (e.g., VDD and GND) responsive to the ROW Y data value (e.g., as shown by the DIGIT and DIGIT_signals), and the ROW Y data value is latched in the sense amplifier 206. At time T12, the PHASE 2R and PHASE 2L signals go low, which disables feedback on the latch of the compute component 231 (e.g., by turning off transistors 286 and 290, respectively) such that the value stored in the compute component may be overwritten during the logical operation. Also, at time T12, ISO goes low, which disables isolation transistors 250-1 and 250-2. Since the desired logical operation in this example is an AND operation, at time T13, TT is enabled while TF, FT and FF remain disabled (as shown in TABLE 7-2, FF=0, FT=0, TF=0, and TT=1 corresponds to a logical AND operation). Whether enabling TT results in PASS going high depends on the value stored in the compute component 231 when ISO is disabled at time T12. For example, enable transistor 252 will conduct if node ST2 was high when ISO is disabled, and enable transistor will not conduct if node ST2 was low when ISO was disabled at time T12.
In this example, if PASS goes high at time T13, the pass transistors 207-1 and 207-2 are enabled such that the DIGIT and DIGIT_signals, which correspond to the ROW Y data value, are provided to the respective compute component nodes ST2 and SF2. As such, the value stored in the compute component 231 (e.g., the ROW X data value) may be flipped, depending on the value of DIGIT and DIGIT_ (e.g., the ROW Y data value). In this example, if PASS stays low at time T13, the pass transistors 207-1 and 207-2 are not enabled such that the DIGIT and DIGIT_signals, which correspond to the ROW Y data value, remain isolated from the nodes ST2 and SF2 of the compute component 231. As such, the data value in the compute component (e.g., the ROW X data value) would remain the same.
At time T14, TT is disabled, which results in PASS going (or remaining) low, such that the pass transistors 207-1 and 207-2 are disabled. It is noted that PASS* remains low between time T13 and T14 since the TF and FF signals remain low. At time T15, ROW Y is disabled, and PHASE 2R, PHASE 2L, and ISO are enabled. Enabling PHASE 2R and PHASE 2L at time T15 enables feedback on the latch of the compute component 231 such that the result of the AND operation (e.g., “A” AND “B”) is latched therein. Enabling ISO at time T15 again couples nodes ST2 and SF2 to the gates of the enable transistors 252, 254, 262, and 264. At time T16, equilibration is enabled (e.g., EQ goes high such that DIGIT and DIGIT_ are driven to an equilibrate voltage) and the sense amplifier 206 is disabled (e.g., SENSE AMP goes low).
The result of the AND operation, which is initially stored in the compute component 231 in this example, can be transferred back to the memory array (e.g., to a memory cell coupled to ROW X, ROW Y, and/or a different row via the complementary sense lines) and/or to an external location (e.g., an external processing component) via I/O lines.
The above sequence (e.g., enabling/disabling PHASE 1L and subsequently enabling/disabling PHASE 2L) can be repeated to achieve a desired number of left shifts. For instance, in this example, a second left shift is performed by enabling PHASE 1L at time T21 and disabling PHASE 1L at time T22. PHASE 2L is subsequently enabled at time T23 to complete the second left shift. Subsequent to the second left shift, PHASE 2L remains enabled and PHASE 2R is enabled (e.g., at time T24) such that feedback is enabled to latch the data values in the compute component latches.
The signaling indicated at times T0 through T9 for
In this example, if PASS goes high at time T13, the pass transistors 207-1 and 207-2 are enabled such that the DIGIT and DIGIT_signals, which correspond to the ROW Y data value, are provided to the respective compute component nodes ST2 and SF2. As such, the value stored in the compute component 231 (e.g., the ROW X data value) may be flipped, depending on the value of DIGIT and DIGIT_ (e.g., the ROW Y data value). In this example, if PASS stays low at time T13, the pass transistors 207-1 and 207-2 are not enabled such that the DIGIT and DIGIT_signals, which correspond to the ROW Y data value, remain isolated from the nodes ST2 and SF2 of the compute component 231. As such, the data value in the compute component (e.g., the ROW X data value) would remain the same. In this example, if PASS* goes high at time T13, the swap transistors 242 are enabled such that the DIGIT and DIGIT_signals, which correspond to the ROW Y data value, are provided to the respective compute component nodes ST2 and SF2 in a transposed manner (e.g., the “true” data value on DIGIT(n) would be provided to node SF2 and the “complement” data value on DIGIT(n)_ would be provided to node ST2). As such, the value stored in the compute component 231 (e.g., the ROW X data value) may be flipped, depending on the value of DIGIT and DIGIT_ (e.g., the ROW Y data value). In this example, if PASS* stays low at time T13, the swap transistors 242 are not enabled such that the DIGIT and DIGIT_signals, which correspond to the ROW Y data value, remain isolated from the nodes ST2 and SF2 of the compute component 231. As such, the data value in the compute component (e.g., the ROW X data value) would remain the same.
At time T14, TF and FT are disabled, which results in PASS and PASS* going (or remaining) low, such that the pass transistors 207-1 and 207-2 and swap transistors 242 are disabled. At time T15, ROW Y is disabled, and PHASE 2R, PHASE 2L, and ISO are enabled. Enabling PHASE 2R and PHASE 2L at time T15 enables feedback on the latch of the compute component 231 such that the result of the XOR operation (e.g., “A” XOR “B”) is latched therein. Enabling ISO at time T15 again couples nodes ST2 and SF2 to the gates of the enable transistors 252, 254, 262, and 264. At time T16, equilibration is enabled (e.g., EQ goes high such that DIGIT and DIGIT_ are driven to an equilibrate voltage) and the sense amplifier 206 is disabled (e.g., SENSE AMP goes low).
The result of the XOR operation, which is initially stored in the compute component 231 in this example, can be transferred back to the memory array (e.g., to a memory cell coupled to ROW X, ROW Y, and/or a different row via the complementary sense lines) and/or to an external location (e.g., an external processing component) via I/O lines.
The above sequence (e.g., enabling/disabling PHASE 1R and subsequently enabling/disabling PHASE 2R) can be repeated to achieve a desired number of right shifts. For instance, in this example, a second right shift is performed by enabling PHASE 1R at time T21 and disabling PHASE 1R at time T22. PHASE 2R is subsequently enabled at time T23 to complete the second right shift. Subsequent to the second right shift, PHASE 1R remains disabled, PHASE 2R remains enabled, and PHASE 2L is enabled (e.g., at time T24) such that feedback is enabled to latch the data values in the compute component latches.
Although the examples described in
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. 15/205,885, filed Jul. 8, 2016, which issues as U.S. Pat. No. 10,037,785 on Jul. 31, 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 |
4958378 | Bell | Sep 1990 | A |
4977542 | Matsuda et al. | Dec 1990 | A |
5023838 | Herbert | Jun 1991 | A |
5034636 | Reis et al. | Jul 1991 | A |
5201039 | Sakamura | Apr 1993 | A |
5210850 | Kelly et al. | May 1993 | A |
5253308 | Johnson | Oct 1993 | A |
5276643 | Hoffmann et al. | Jan 1994 | A |
5325519 | Long et al. | Jun 1994 | A |
5341382 | Levitt | Aug 1994 | A |
5367488 | An | Nov 1994 | A |
5379257 | Matsumura et al. | Jan 1995 | A |
5383143 | Crouch et al. | Jan 1995 | A |
5386379 | Ali-Yahia et al. | Jan 1995 | A |
5398213 | Yeon et al. | Mar 1995 | A |
5414714 | Gladden | May 1995 | A |
5440482 | Davis | Aug 1995 | A |
5446690 | Tanaka et al. | Aug 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 |
5550843 | Yee | Aug 1996 | 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 |
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 |
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 |
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 | Hazanchuk et al. | Sep 2005 | B1 |
6948056 | Roth et al. | 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 | Garney | 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 |
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 |
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 |
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 |
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 |
9383409 | Chen et al. | Jul 2016 | 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 et al. | May 2002 | A1 |
20020154536 | Perner | Oct 2002 | A1 |
20030056164 | Lauga | Mar 2003 | A1 |
20030067043 | Zhang | Apr 2003 | A1 |
20030167426 | Slobodnik | Sep 2003 | A1 |
20030222879 | Lin et al. | Dec 2003 | A1 |
20040073592 | Kim et al. | Apr 2004 | A1 |
20040073773 | Demjanenko | Apr 2004 | A1 |
20040085840 | Vali et al. | May 2004 | A1 |
20040095826 | Perner | 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 |
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 |
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 |
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 |
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 et al. | 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 et al. | Dec 2013 | 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 |
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 et al. | 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 |
20160062672 | Wheeler | Mar 2016 | A1 |
20160062673 | Tiwari | Mar 2016 | A1 |
20160062692 | Finkbeiner et al. | Mar 2016 | A1 |
20160062733 | Tiwari | Mar 2016 | A1 |
20160063284 | Tiwari | Mar 2016 | A1 |
20160064045 | La Fratta | Mar 2016 | A1 |
20160064047 | Tiwari | Mar 2016 | A1 |
20160098208 | Willcock | Apr 2016 | A1 |
20160098209 | Leidel et al. | Apr 2016 | A1 |
20160110135 | Wheeler et al. | Apr 2016 | A1 |
20160125919 | Hush | May 2016 | A1 |
20160154596 | Willcock et al. | Jun 2016 | A1 |
20160155482 | La Fratta | Jun 2016 | A1 |
20160188250 | Wheeler | Jun 2016 | A1 |
20160196142 | Wheeler et al. | Jul 2016 | A1 |
20160196856 | Tiwari et al. | Jul 2016 | 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.). |
Number | Date | Country | |
---|---|---|---|
20180336934 A1 | Nov 2018 | US |
Number | Date | Country | |
---|---|---|---|
Parent | 15205885 | Jul 2016 | US |
Child | 16048954 | US |