The present disclosure relates generally to semiconductor memory and methods, and more particularly, to apparatuses and methods related to performing logical operations using 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/or 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 logical operations on data (e.g., one or more operands). For example, the functional unit circuitry (FUC) may be used to perform arithmetic operations such as addition, subtraction, multiplication, and/or division on operands.
A number of components in an electronic system may be involved in providing instructions to the FUC for execution. The instructions may be generated, for instance, by a processing resource such as a controller and/or host processor. Data (e.g., the operands on which the instructions will be executed) may be stored in a memory array that is accessible by the FUC. The instructions and/or data may be retrieved from the memory array and sequenced and/or buffered before the FUC begins to execute instructions on the data. Furthermore, as different types of operations may be executed in one or multiple clock cycles through the FUC, intermediate results of the instructions and/or data may also be sequenced and/or buffered.
In many instances, the processing resources (e.g., processor and/or associated FUC) 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 conserve time and power in processing. However, such PIM devices may have various drawbacks such as an increased chip size. Moreover, such PIM devices may still consume undesirable amounts of power in association with performing logical operations (e.g., compute functions).
The present disclosure includes apparatuses and methods related to performing logical operations using sensing circuitry. An example apparatus comprises an array of memory cells and sensing circuitry comprising a primary latch coupled to a sense line of the array. The sensing circuitry can be configured to perform a first operation phase of a logical operation by sensing a memory cell coupled to the sense line, perform a number of intermediate operation phases of the logical operation by sensing a respective number of different memory cells coupled to the sense line, and accumulate a result of the first operation phase and the number of intermediate operation phases in a secondary latch coupled to the primary latch without performing a sense line address access.
A number of embodiments of the present disclosure can provide improved parallelism and/or reduced power consumption in association with performing compute functions as compared to previous systems such as previous PIM systems and systems having an external processor (e.g., a processing resource located external from a memory array, such as on a separate integrated circuit chip). For instance, a number of embodiments can provide for performing fully complete compute functions such as integer add, subtract, multiply, divide, and CAM (content addressable memory) functions without transferring data out of the memory array and sensing circuitry via a bus (e.g., data bus, address bus, control bus), for instance. Such compute functions can involve performing a number of logical operations (e.g., AND, OR, NOT, NOR, NAND, XOR, etc.). However, embodiments are not limited to these examples. For instance, performing logical operations can include performing a number of non-boolean logic operations such as copy, compare, destroy, etc.
In previous approaches, data may be transferred from the array and sensing circuitry (e.g., via a bus comprising input/output (I/O) lines) to a processing resource such as a processor, microprocessor, and/or compute engine, which may comprise ALU circuitry and/or other functional unit circuitry configured to perform the appropriate logical operations. However, transferring data from a memory array and sensing circuitry to such processing resource(s) can involve significant power consumption. Even if the processing resource is located on a same chip as the memory array, significant power can be consumed in moving data out of the array to the compute circuitry, which can involve performing a sense line address access (e.g., firing of a column decode signal) in order to transfer data from sense lines onto I/O lines (e.g., local I/O lines), moving the data to the array periphery, and providing the data to the compute function.
Furthermore, the circuitry of the processing resource(s) (e.g., compute engine) may not conform to pitch rules associated with a memory array. For example, the cells of a memory array may have a 4F2 or 6F2 cell size, where “F” is a feature size corresponding to the cells. As such, the devices (e.g., logic gates) associated with ALU circuitry of previous PIM systems may not be capable of being formed on pitch with the memory cells, which can affect chip size and/or memory density, for example. A number of embodiments of the present disclosure include sensing circuitry formed on pitch with memory cells of the array and capable of performing compute functions such as those described herein below.
In the following detailed description of the present disclosure, reference is made to the accompanying drawings that form a part hereof, and in which is shown by way of illustration how one or more embodiments of the disclosure may be practiced. These embodiments are described in sufficient detail to enable those of ordinary skill in the art to practice the embodiments of this disclosure, and it is to be understood that other embodiments may be utilized and that process, electrical, and/or structural changes may be made without departing from the scope of the present disclosure. As used herein, the designator “N,” particularly with respect to reference numerals in the drawings, indicates that a number of the particular feature so designated can be included. As used herein, “a number of” a particular thing can refer to one or more of such things (e.g., a number of memory arrays can refer to one or more memory arrays).
The figures herein follow a numbering convention in which the first digit or digits correspond to the drawing figure number and the remaining digits identify an element or component in the drawing. Similar elements or components between different figures may be identified by the use of similar digits. For example, 206 may reference element “06” in
System 100 includes a host 110 coupled 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 digit lines or data lines). Although a single array 130 is shown in
The memory device 120 includes address circuitry 142 to latch address signals provided over an I/O bus 156 (e.g., a data bus) through I/O circuitry 144. Address signals are received 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 sense 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 I/O bus 156. The write circuitry 148 is used to write data to the memory array 130.
Control circuitry 140 decodes signals provided by control bus 154 from the host 110. These signals can include chip enable signals, write enable signals, and address latch signals that are used to control operations performed on the memory array 130, including data read, data write, and data erase operations. In various embodiments, the control circuitry 140 is responsible for executing instructions from the host 110. The control circuitry 140 can be a state machine, a sequencer, or some other type of controller.
An example of the sensing circuitry 150 is described further below in association with
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 compliment and/or to replace, at least to some extent, such an external processing resource (or at least the bandwidth of such an external processing resource). However, in a number of embodiments, the sensing circuitry 150 may be used to perform logical operations (e.g., to execute instructions) in addition to logical operations performed by an external processing resource (e.g., host 110). For instance, host 110 and/or sensing circuitry 150 may be limited to performing only certain logical operations and/or a certain number of logical operations.
The array 230 is coupled to sensing circuitry in accordance with a number of embodiments of the present disclosure. In this example, the sensing circuitry comprises a sense amplifier 206 and a compute component 231. The sensing circuitry can be sensing circuitry 150 shown in
In a number of embodiments, a compute component (e.g., 231) can comprise a number of transistors formed on pitch with the transistors of the sense amp (e.g., 206) and/or the memory cells of the array (e.g., 230), which may conform to a particular feature size (e.g., 4F2, 6F2, etc.). As described further below, the compute component 231 can, in conjunction with the sense amp 206, operate to perform various logical operations using data from array 230 as input and store the result back to the array 230 without transferring the data via a sense 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 computing functions associated therewith using less power than various previous approaches. Additionally, since a number of embodiments eliminate the need to transfer data across I/O lines in order to perform compute functions, a number of embodiments can enable an increased parallel processing capability as compared to previous approaches.
In the example illustrated in
The transistors 207-1 and 207-2 can be referred to as pass transistors, which can be enabled via respective signals 211-1 (Passd) and 211-2 (Passdb) in order to pass the voltages or currents on the respective sense lines D and D_ to the inputs of the cross coupled latch comprising transistors 208-1, 208-2, 209-1, and 209-2 (e.g., the input of the secondary latch). In this example, the second source/drain region of transistor 207-1 is coupled to a first source/drain region of transistors 208-1 and 209-1 as well as to the gates of transistors 208-2 and 209-2. Similarly, the second source/drain region of transistor 207-2 is coupled to a first source/drain region of transistors 208-2 and 209-2 as well as to the gates of transistors 208-1 and 209-1.
A second source/drain region of transistor 208-1 and 208-2 is commonly coupled to a negative control signal 212-1 (Accumb). A second source/drain region of transistors 209-1 and 209-2 is commonly coupled to a positive control signal 212-2 (Accum). The Accum signal 212-2 can be a supply voltage (e.g., VDD) and the Accumb signal can be a reference voltage (e.g., ground). Enabling signals 212-1 and 212-2 activates the cross coupled latch comprising transistors 208-1, 208-2, 209-1, and 209-2 corresponding to the secondary latch. The activated sense amp pair operates to amplify a differential voltage between common node 217-1 and common node 217-2 such that node 217-1 is driven to one of the Accum signal voltage and the Accumb signal voltage (e.g., to one of VDD and ground), and node 217-2 is driven to the other of the Accum signal voltage and the Accumb signal voltage. As described further below, the signals 212-1 and 212-2 are labeled “Accum” and “Accumb” because the secondary latch can serve as an accumulator while being used to perform a logical operation. In a number of embodiments, an accumulator comprises the cross coupled transistors 208-1, 208-2, 209-1, and 209-2 forming the secondary latch as well as the pass transistors 207-1 and 207-2. As described further herein, in a number of embodiments, a compute component comprising an accumulator coupled to a sense amplifier can be configured to perform a logical operation that comprises performing an accumulate operation on a data value represented by a signal (e.g., voltage or current) on at least one of a pair of complementary sense lines.
The compute component 231 also includes inverting transistors 214-1 and 214-2 having a first source/drain region coupled to the respective digit lines D and D_. A second source/drain region of the transistors 214-1 and 214-2 is coupled to a first source/drain region of transistors 216-1 and 216-2, respectively. The gates of transistors 214-1 and 214-2 are coupled to a signal 213 (InvD). The gate of transistor 216-1 is coupled to the common node 217-1 to which the gate of transistor 208-2, the gate of transistor 209-2, and the first source/drain region of transistor 208-1 are also coupled. In a complementary fashion, the gate of transistor 216-2 is coupled to the common node 217-2 to which the gate of transistor 208-1, the gate of transistor 209-1, and the first source/drain region of transistor 208-2 are also coupled. As such, enabling signal InvD serves to invert the data value stored in the secondary latch and drives the inverted value onto sense lines 205-1 and 205-2.
The compute component 231 shown in
For instance, an R-input logical operation can be performed using data stored in array 230 as inputs, and the result can be stored to a suitable location (e.g., back to array 230 and/or to a different location) via operation of the sensing circuitry. In the examples described below, an R-input logical operation includes using a data value (e.g., logic 1 or logic 0) stored in a memory cell coupled to a first particular word line (e.g., 204-0) and to a particular sense line (e.g., 205-1) as a first input and data values stored in memory cells coupled to a number of additional word lines (e.g., 204-1 to 204-N), and commonly coupled to the particular sense line (e.g., 205-1), as a respective number of additional inputs. In this manner, a number of logical operations can be performed in parallel. For instance, 4K logical operations could be performed in parallel on an array having 4K sense lines. In this example, 4K cells coupled to a first word line could serve as 4K first inputs, 4K cells coupled to a second word line could serve as 4K second inputs, and 4K cells coupled to a third word line could serve as 4K third inputs in a 3-input logical operation. As such, in this example, 4K separate 3-input logical operations can be performed in parallel.
In a number of embodiments, a first operation phase of an R-input logical operation includes performing a sensing operation on a memory cell coupled to a particular word line (e.g., 204-0) and to a particular sense line (e.g., 205-1) to determine its stored data value (e.g., logic 1 or logic 0), which serves as a first input in an R-input logical operation. The first input (e.g., the sensed stored data value) can then be transferred (e.g., copied) to a latch associated with compute component 231. A number of intermediate operation phases can be performed and can also include performing sensing operations on memory cells coupled to a respective number of additional word lines (e.g., 204-1 to 204-N) and to the particular sense line (e.g., 205-1) to determine their stored data values, which serve as a respective number of additional inputs (e.g., R−1 additional inputs) to the R-input logical operation. A last operation phase of an R-input logical operation involves operating the sensing circuitry to store the result of the logical operation to a suitable location. As an example, the result can be stored back to the array (e.g., back to a memory cell coupled to the particular sense line 205-1). Storing the result back to the array can occur without activating a column decode line. The result can also be stored to a location other than in array 230. For instance, the result can be stored (e.g., via local I/O lines coupled to sense amp 206) to an external register associated with a processing resource such as a host processor; however, embodiments are not so limited. Details regarding the first, intermediate, and last operation phases are described further below in association with
In the example illustrated in
At time t1, the equilibration signal 226 is deactivated, and then a selected row is activated (e.g., the row corresponding to a memory cell whose data value is to be sensed and used as a first input). Signal 204-0 represents the voltage signal applied to the selected row (e.g., row 204-0). When row signal 204-0 reaches the threshold voltage (Vt) of the access transistor (e.g., 202) corresponding to the selected cell, the access transistor turns on and couples the sense line D to the selected memory cell (e.g., to the capacitor 203 if the cell is a 1T1C DRAM cell), which creates a differential voltage signal between the sense lines D and D_ (e.g., as indicated by signals 205-1 and 205-2, respectively) between times t2 and t3. The voltage of the selected cell is represented by signal 203. Due to conservation of energy, creating the differential signal between D and D_ (e.g., by coupling the cell to sense line D) does not consume energy, since the energy associated with activating/deactivating the row signal 204 can be amortized over the plurality of memory cells coupled to the row.
At time t3, the sense amp (e.g., 206) activates (e.g., the positive control signal 231 (e.g., PSA 331 shown in
At time t4, the pass transistors 207-1 and 207-2 are enabled (e.g., via respective Passd and Passdb control signals applied to control lines 211-1 and 211-2, respectively). The control signals 211-1 and 211-2 are referred to collectively as control signals 211. As used herein, various control signals, such as Passd and Passdb, may be referenced by referring to the control lines to which the signals are applied. For instance, a Passd signal can be referred to as control signal 211-1. At time t5, the accumulator control signals Accumb and Accum are activated via respective control lines 212-1 and 212-2. As described below, the accumulator control signals 212-1 and 212-2 may remain activated for subsequent operation phases. As such, in this example, activating the control signals 212-1 and 212-2 activates the secondary latch (e.g., accumulator) of compute component 231. The sensed data value stored in sense amp 206 is transferred (e.g., copied) to the secondary latch.
At time t6, the pass transistors 207-1 and 207-2 are disabled (e.g., turned off); however, since the accumulator control signals 212-1 and 212-2 remain activated, an accumulated result is stored (e.g., latched) in the secondary latch (e.g., accumulator). At time t7, the row signal 204-0 is deactivated, and the array sense amps are deactivated at time t8 (e.g., sense amp control signals 228 and 231 are deactivated).
At time t9, the sense lines D and D_ are equilibrated (e.g., equilibration signal 226 is activated), as illustrated by sense line voltage signals 205-1 and 205-2 moving from their respective rail values to the equilibration voltage 225 (VDD/2). The equilibration consumes little energy due to the law of conservation of energy. As described below in association with
As shown in timing diagrams 285-2 and 285-3, at time t1, equilibration is disabled (e.g., the equilibration signal 226 is deactivated), and then a selected row is activated (e.g., the row corresponding to a memory cell whose data value is to be sensed and used as an input such as a second input, third input, etc.). Signal 204-1 represents the voltage signal applied to the selected row (e.g., row 204-1). When row signal 204-1 reaches the threshold voltage (Vt) of the access transistor (e.g., 202) corresponding to the selected cell, the access transistor turns on and couples the sense line D to the selected memory cell (e.g., to the capacitor 203 if the cell is a 1T1C DRAM cell), which creates a differential voltage signal between the sense lines D and D_ (e.g., as indicated by signals 205-1 and 205-2, respectively) between times t2 and t3. The voltage of the selected cell is represented by signal 203. Due to conservation of energy, creating the differential signal between D and D_ (e.g., by coupling the cell to sense line D) does not consume energy, since the energy associated with activating/deactivating the row signal 204 can be amortized over the plurality of memory cells coupled to the row.
At time t3, the sense amp (e.g., 206) activates (e.g., the positive control signal 231 (e.g., PSA 331 shown in
As shown in timing diagrams 285-2 and 285-3, at time t4 (e.g., after the selected cell is sensed), only one of control signals 211-1 (Passd) and 211-2 (Passdb) is activated (e.g., only one of pass transistors 207-1 and 207-2 is enabled), depending on the particular logic operation. For example, since timing diagram 285-2 corresponds to an intermediate phase of a NAND or AND operation, control signal 211-1 is activated at time t4 and control signal 211-2 remains deactivated. Conversely, since timing diagram 285-3 corresponds to an intermediate phase of a NOR or OR operation, control signal 211-2 is activated at time t4 and control signal 211-1 remains deactivated. Recall from above that the accumulator control signals 212-1 (Accumb) and 212-2 (Accum) were activated during the initial operation phase described in
Since the accumulator was previously activated, activating only Passd (211-1) results in accumulating the data value corresponding to the voltage signal 205-1. Similarly, activating only Passdb (211-2) results in accumulating the data value corresponding to the voltage signal 205-2. For instance, in an example AND/NAND operation (e.g., timing diagram 285-2) in which only Passd (211-1) is activated, if the data value stored in the selected memory cell (e.g., a Row1 memory cell in this example) is a logic 0, then the accumulated value associated with the secondary latch is asserted low such that the secondary latch stores logic 0. If the data value stored in the Row1 memory cell is not a logic 0, then the secondary latch retains its stored Row0 data value (e.g., a logic 1 or a logic 0). As such, in this AND/NAND operation example, the secondary latch is serving as a zeroes (0s) accumulator. Similarly, in an example OR/NOR operation (e.g., timing diagram 285-3) in which only Passdb is activated, if the data value stored in the selected memory cell (e.g., a Row1 memory cell in this example) is a logic 1, then the accumulated value associated with the secondary latch is asserted high such that the secondary latch stores logic 1. If the data value stored in the Row1 memory cell is not a logic 1, then the secondary latch retains its stored Row0 data value (e.g., a logic 1 or a logic 0). As such, in this OR/NOR operation example, the secondary latch is effectively serving as a ones (1s) accumulator since voltage signal 205-2 on D_ is setting the true data value of the accumulator.
At the conclusion of an intermediate operation phase such as that shown in
The last operation phases of
As shown in timing diagrams 285-4 and 285-5, at time t1, equilibration is disabled (e.g., the equilibration signal 226 is deactivated) such that sense lines D and D_ are floating. At time t2, either the InvD signal 213 or the Passd and Passdb signals 211 are activated, depending on which logical operation is being performed. In this example, the InvD signal 213 is activated for a NAND or NOR operation (see
Activating the InvD signal 213 at time t2 (e.g., in association with a NAND or NOR operation) enables transistors 214-1/214-2 and results in an inverting of the data value stored in the secondary latch as either sense line D or sense line D_ is pulled low. As such, activating signal 213 inverts the accumulated output. Therefore, for a NAND operation, if any of the memory cells sensed in the prior operation phases (e.g., the initial operation phase and one or more intermediate operation phases) stored a logic 0 (e.g., if any of the R-inputs of the NAND operation were a logic 0), then the sense line D_ will carry a voltage corresponding to logic 0 (e.g., a ground voltage) and sense line D will carry a voltage corresponding to logic 1 (e.g., a supply voltage such as VDD). For this NAND example, if all of the memory cells sensed in the prior operation phases stored a logic 1 (e.g., all of the R-inputs of the NAND operation were logic 1), then the sense line D_ will carry a voltage corresponding to logic 1 and sense line D will carry a voltage corresponding to logic 0. At time t3, the primary latch of sense amp 206 is then activated (e.g., the sense amp is fired), driving D and D_ to the appropriate rails, and the sense line D now carries the NANDed result of the respective input data values as determined from the memory cells sensed during the prior operation phases. As such, sense line D will be at VDD if any of the input data values are a logic 0 and sense line D will be at ground if all of the input data values are a logic 1.
For a NOR operation, if any of the memory cells sensed in the prior operation phases (e.g., the initial operation phase and one or more intermediate operation phases) stored a logic 1 (e.g., if any of the R-inputs of the NOR operation were a logic 1), then the sense line D_ will carry a voltage corresponding to logic 1 (e.g., VDD) and sense line D will carry a voltage corresponding to logic 0 (e.g., ground). For this NOR example, if all of the memory cells sensed in the prior operation phases stored a logic 0 (e.g., all of the R-inputs of the NOR operation were logic 0), then the sense line D_ will carry a voltage corresponding to logic 0 and sense line D will carry a voltage corresponding to logic 1. At time t3, the primary latch of sense amp 206 is then activated and the sense line D now contains the NORed result of the respective input data values as determined from the memory cells sensed during the prior operation phases. As such, sense line D will be at ground if any of the input data values are a logic 1 and sense line D will be at VDD if all of the input data values are a logic 0.
Referring to
For an OR operation, if any of the memory cells sensed in the prior operation phases (e.g., the first operation phase of
The result of the R-input AND, OR, NAND, and NOR operations can then be stored back to a memory cell of array 230. In the examples shown in
Timing diagrams 285-4 and 285-5 illustrate, at time t3, the positive control signal 231 and the negative control signal 228 being deactivated (e.g., signal 231 goes high and signal 228 goes low) to activate the sense amp 206. At time t4 the respective signal (e.g., 213 or 211) that was activated at time t2 is deactivated. Embodiments are not limited to this example. For instance, in a number of embodiments, the sense amp 206 may be activated subsequent to time t4 (e.g., after signal 213 or signals 211 are deactivated).
As shown in
In a number of embodiments, sensing circuitry such as that described in
Also, one of ordinary skill in the art will appreciate that the ability to perform R-input logical operations (e.g., NAND, AND, NOR, OR, etc.) can enable performance of more complex computing functions such as addition, subtraction, and multiplication, among other primary math functions and/or pattern compare functions. For example, a series of NAND operations can be combined to perform a full adder function. As an example, if a full adder requires 12 NAND gates to add two data values along with a carry in and carry out, a total of 384 NAND operations (12×32) could be performed to add two 32 bit numbers. Embodiments of the present disclosure can also be used to perform logical operations that may be non-boolean (e.g., copy, compare, etc.).
Additionally, in a number of embodiments, the inputs to a logical operation performed may not be data values stored in the memory array to which the sensing circuitry (e.g., 150) is coupled. For instance, a number of inputs to a logical operation can be sensed by a sense amplifier (e.g., 206) without activating a row of the array (e.g., 230). As an example, the number of inputs can be received by the sense amp 206 via I/O lines coupled thereto (e.g., I/O lines 334-1 and 334-2 shown in
Embodiments of the present disclosure are not limited to the particular sensing circuitry configuration illustrated in
The example logic operation phases described in association with
The sense amplifier 306 includes a pair of cross coupled n-channel transistors (e.g., NMOS transistors) 327-1 and 327-2 having their respective sources coupled to a negative control signal 328 (RNL_) and their drains coupled to sense lines D and D_, respectively. The sense amplifier 306 also includes a pair of cross coupled p-channel transistors (e.g., PMOS transistors) 329-1 and 329-2 having their respective sources coupled to a positive control signal 331 (PSA) and their drains coupled to sense lines D and D_, respectively.
The sense amp 306 includes a pair of isolation transistors 321-1 and 321-2 coupled to sense lines D and D_, respectively. The isolation transistors 321-1 and 321-2 are coupled to a control signal 322 (ISO) that, when activated, enables (e.g., turns on) the transistors 321-1 and 321-2 to connect the sense amp 306 to a column of memory cells. Although not illustrated in
The sense amp 306 also includes circuitry configured to equilibrate the sense lines D and D_. In this example, the equilibration circuitry comprises a transistor 324 having a first source/drain region coupled to an equilibration voltage 325 (dvc2), which can be equal to VDD/2, where VDD is a supply voltage associated with the array. A second source/drain region of transistor 324 is coupled to a common first source/drain region of a pair of transistors 323-1 and 323-2. The second source drain regions of transistors 323-1 and 323-2 are coupled to sense lines D and D_, respectively. The gates of transistors 324, 323-1, and 323-2 are coupled to control signal 326 (EQ). As such, activating EQ enables the transistors 324, 323-1, and 323-2, which effectively shorts sense line D to sense line D_ such that the sense lines D and D_ are equilibrated to equilibration voltage dvc2.
The sense amp 306 also includes transistors 332-1 and 332-2 whose gates are coupled to a signal 333 (COLDEC). Signal 333 may be referred to as a column decode signal or a column select signal. The sense lines D and D_ are connected to respective local I/O lines 334-1 (IO) and 334-2 (IO_) responsive to enabling signal 333 (e.g., to perform an operation such as a sense line access in association with a read operation). As such, signal 333 can be activated to transfer a signal corresponding to the state (e.g., a logic data value such as logic 0 or logic 1) of the memory cell being accessed out of the array on the I/O lines 334-1 and 334-2.
In operation, when a memory cell is being sensed (e.g., read), the voltage on one of the sense lines D, D_ will be slightly greater than the voltage on the other one of sense lines D, D_. The PSA signal is then driven high and the RNL_ signal is driven low to activate the sense amplifier 306. The sense line D, D_ having the lower voltage will turn on one of the PMOS transistor 329-1, 329-2 to a greater extent than the other of PMOS transistor 329-1, 329-2, thereby driving high the sense line D, D_ having the higher voltage to a greater extent than the other sense line D, D_ is driven high. Similarly, the sense line D, D_ having the higher voltage will turn on one of the NMOS transistor 327-1, 327-2 to a greater extent than the other of the NMOS transistor 327-1, 327-2, thereby driving low the sense line D, D_ having the lower voltage to a greater extent than the other sense line D, D_ is driven low. As a result, after a short delay, the sense line D, D_ having the slightly greater voltage is driven to the voltage of the PSA signal (which can be the supply voltage VDD), and the other sense line D, D_ is driven to the voltage of the RNL_ signal (which can be a reference potential such as a ground potential). Therefore, the cross coupled NMOS transistors 327-1, 327-2 and PMOS transistors 329-1, 329-2 serve as a sense amp pair, which amplify the differential voltage on the sense lines D and D_and serve to latch a data value sensed from the selected memory cell. As used herein, the cross coupled latch of sense amp 306 may be referred to as a primary latch. In contrast, and as described above in connection with
The present disclosure includes apparatuses and methods related to performing logical operations using sensing circuitry. An example apparatus comprises an array of memory cells and sensing circuitry comprising a primary latch coupled to a sense line of the array. The sensing circuitry can be configured to perform a first operation phase of a logical operation by sensing a memory cell coupled to the sense line, perform a number of intermediate operation phases of the logical operation by sensing a respective number of different memory cells coupled to the sense line, and accumulate a result of the first operation phase and the number of intermediate operation phases in a secondary latch coupled to the primary latch without performing a sense line address access.
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. 16/741,466, filed Jan. 13, 2020, which issues as U.S. Pat. No. 10,878,863 on Dec. 29, 2020, which is a Continuation of U.S. application Ser. No. 16/253,750, filed Jan. 22, 2019, which issues as U.S. Pat. No. 10,535,384 on Jan. 14, 2020, which is a Continuation of U.S. application Ser. No. 15/899,187, filed Feb. 19, 2018, which issues as U.S. Pat. No. 10,168,303 on Jan. 22, 2019, which is a Continuation of U.S. application Ser. No. 15/439,681, filed Feb. 22, 2017, which issued as U.S. Pat. 9,899,068 on Feb. 20, 2018, which is a Continuation of U.S. application Ser. No. 15/051,112, filed Feb. 23, 2016, which issued as U.S. Pat. No. 9,589,607 on Mar. 7, 2017, which is a Continuation of U.S. application Ser. No. 14/538,399, filed Nov. 11, 2014, which issued as U.S. Pat. No. 9,275,701 on Mar. 1, 2016, which is a Continuation of U.S. application Ser. No. 13/962,399, filed Aug. 8, 2013, which issued as U.S. Pat. No. 8,971,124 on Mar. 3, 2015, the contents of which are incorporated 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 | Hoffman et al. | Jan 1994 | A |
5325519 | Long et al. | Jun 1994 | A |
5367488 | An | Nov 1994 | A |
5379257 | Matsumura et al. | Jan 1995 | A |
5386379 | Ali-Yahia et al. | Jan 1995 | A |
5398213 | Yeon et al. | Mar 1995 | A |
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 |
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 | 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 |
7463501 | Dosaka | Dec 2008 | B2 |
7535769 | Cernea | May 2009 | B2 |
7546438 | Chung | Jun 2009 | B2 |
7562198 | Noda et al. | Jul 2009 | B2 |
7573756 | Seo | Aug 2009 | B2 |
7574466 | Beaumont | Aug 2009 | B2 |
7602647 | Li et al. | Oct 2009 | B2 |
7603605 | Mittal | 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 |
7796439 | Arai | 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 | Mokhlesi | Oct 2011 | B2 |
8059438 | Chang et al. | Nov 2011 | B2 |
8095825 | Hirotsu et al. | Jan 2012 | B2 |
8117462 | Snapp et al. | Feb 2012 | B2 |
8130582 | Shimano | Mar 2012 | B2 |
8164942 | Gebara et al. | Apr 2012 | B2 |
8208328 | Hong | Jun 2012 | B2 |
8208331 | Lin et al. | Jun 2012 | B2 |
8213248 | Moon et al. | Jul 2012 | B2 |
8223568 | Seo | Jul 2012 | B2 |
8238173 | Akerib et al. | Aug 2012 | B2 |
8274841 | Shimano 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 |
10592467 | Ryu | Mar 2020 | B2 |
10747909 | Weidele | Aug 2020 | 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 |
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 |
20060101231 | Higashida | May 2006 | A1 |
20060146612 | Lim et al. | Jul 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 |
20110235449 | Chen 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 |
20120089793 | Nazar et al. | Apr 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 |
20150134713 | Wheeler | May 2015 | A1 |
20150324290 | Leidel | Nov 2015 | A1 |
20150325272 | Murphy | Nov 2015 | A1 |
20150356006 | Perner | Dec 2015 | A1 |
Number | Date | Country |
---|---|---|
101281781 | Oct 2008 | CN |
101770802 | Jul 2010 | CN |
102141905 | Aug 2011 | CN |
102667752 | Sep 2012 | CN |
102822896 | Dec 2012 | CN |
105027212 | Nov 2015 | CN |
0214718 | Mar 1987 | EP |
2026209 | Feb 2009 | EP |
H0831168 | Feb 1996 | JP |
2006127460 | May 2006 | JP |
2007206849 | Aug 2007 | 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.). |
International Search Report and Written Opinion for related PCT Patent Application No. PCT/US2014/049881, dated Nov. 17, 2014, 11 pages. |
Office Action for Taiwan Patent Application No. 103107275, dated Jul. 31, 2015, 15 pages. |
Notice of Preliminary Rejection for Korea Patent Applicaton No. 10-2015-7027181, dated Nov. 24, 2015, 5 pages. |
Office Action for China Patent Application No. 201480011890.4, dated Mar. 2, 2016, 10 pages. |
Office Action for Japan Patent Application No. 2015-560213, dated Feb. 9, 2016, 8 pages. |
Office Action for U.S. Appl. No. 13/784,219, dated Oct. 9, 2014, 11 pages. |
International Search Report and Written Opinion for PCT Application No. PCT/US2014/017259, dated May 27, 2014, 13 pages. |
Notice of Preliminary Rejection for related Korea Patent Application No. 10-2016-7005826, dated Apr. 12, 2016, 11 pages. |
Notice of Rejection for related Japan Patent Application No. 2016-515939, dated Jul. 26, 2016, 7 pages. |
Notice of Rejection for Korea Patent Application No. 10-2016-7017172, dated Jul. 12, 2016, 7 pages. |
Office Action for related China Patent Application No. 201480050838.X, dated Oct. 17, 2016, 12 pages. |
Search Report for EP Patent Application No. 14760332.8, dated Dec. 16, 2016, 8 pages. |
Supplementary European Search Report for related EP Patent Application No. 14834674.5, dated Apr. 24, 2017, 9 pages. |
Number | Date | Country | |
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20210118478 A1 | Apr 2021 | US |
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