US20010014937A1 - Multiprocessor computer architecture incorporating a plurality of memory algorithm processors in the memory subsystem - Google Patents
Multiprocessor computer architecture incorporating a plurality of memory algorithm processors in the memory subsystem Download PDFInfo
- Publication number
- US20010014937A1 US20010014937A1 US09/755,744 US75574401A US2001014937A1 US 20010014937 A1 US20010014937 A1 US 20010014937A1 US 75574401 A US75574401 A US 75574401A US 2001014937 A1 US2001014937 A1 US 2001014937A1
- Authority
- US
- United States
- Prior art keywords
- memory
- computer
- algorithm processor
- processor
- multiprocessor computer
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Abandoned
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F15/00—Digital computers in general; Data processing equipment in general
- G06F15/76—Architectures of general purpose stored program computers
- G06F15/78—Architectures of general purpose stored program computers comprising a single central processing unit
- G06F15/7867—Architectures of general purpose stored program computers comprising a single central processing unit with reconfigurable architecture
Definitions
- the present invention relates, in general, to the field of computer architectures incorporating multiple processing elements. More particularly, the present invention relates to a multiprocessor computer architecture incorporating a number of memory algorithm processors in the memory subsystem to significantly enhance overall system processing speed.
- All general purpose computers are based on circuits that have some form of processing element. These may take the form of microprocessor chips or could be a collection of smaller chips coupled together to form a processor. In any case, these processors are designed to execute programs that are defined by a set of program steps. The fact that these steps, or commands, can be rearranged to create different end results using the same computer hardware is key to the computer's flexibility. Unfortunately, this flexibility dictates that the hardware then be designed to handle a variety of possible functions, which results in generally slower operation than would be the case were it able to be designed to handle only one particular function. On the other hand, a single function computer is inherently not a particularly versatile computer.
- MAP Memory Algorithm Processor
- FPGAs to perform user defined algorithms in conjunction with, and tightly coupled to, a microprocessor. More particularly, in a multiprocessor computer system, the FPGAs are globally accessible by all of the system processors for the purpose of executing user definable algorithms.
- a circuit is provided either within, or in conjunction with, the FPGAs which signals, by means of a control bit, when the last operand has completed its flow through the MAP, thereby allowing a given process to be interrupted and thereafter restarted.
- one or more read only memory (“ROM”) integrated circuit chips may be coupled adjacent the FPGA to allow a user program to use a single command to select one of several possible algorithms preloaded in the ROM thereby decreasing system reconfiguration time.
- a computer system memory structure which includes one or more FPGAs for the purpose of using normal memory access protocol to access it as well as being capable of direct memory access (“DMA”) operation.
- FPGAs configured with DMA capability enable one device to feed results directly to another thereby allowing pipelining or parallelizing execution of a user defined algorithm located in the reconfigurable hardware.
- the system and method of the present invention also provide a user programmable performance monitoring capability and utilizes parallelizer software to automatically detect parallel regions of user applications containing algorithms that can be executed in programmable hardware.
- a computer including at least one data processor for operating on user data in accordance with program instructions.
- the computer includes at least one memory array presenting a data and address bus and comprises a memory algorithm processor associated with the memory array and coupled to the data and address buses.
- the memory algorithm processor is configurable to perform at least one identified algorithm on an operand received from a write operation to the memory array.
- a multiprocessor computer including a first plurality of data processors for operating on user data in accordance with program instructions and a second plurality of memory arrays, each presenting a data and address bus.
- the computer comprises a memory algorithm processor associated with at least one of the second plurality of memory arrays and coupled to the data and address bus thereof.
- the memory algorithm processor is configurable to perform at least one identified algorithm on an operand received from a write operation to the associated one of the second plurality of memory arrays.
- FIG. 1 is a simplified, high level, functional block diagram of a standard multiprocessor computer architecture
- FIG. 2 is a simplified logical block diagram of a possible computer application program decomposition sequence for use in conjunction with a multiprocessor computer architecture utilizing a number of memory algorithm processors (“MAPs”) in accordance with the present invention
- FIG. 3 is a more detailed functional block diagram of an individual one of the MAPs of the preceding figure and illustrating the bank control logic, memory array and MAP assembly thereof;
- FIG. 4 is a more detailed functional block diagram of the control block of the MAP assembly of the preceding illustration illustrating its interconnection to the user FPGA thereof.
- the multiprocessor computer 10 incorporates N processors 12 0 through 12 N which are bi-directionally coupled to a memory interconnect fabric 14 .
- the memory interconnect fabric 14 is then also coupled to M memory banks comprising memory bank subsystems 16 0 (Bank 0) through 16 M (Bank M).
- FIG. 2 a representative application program decomposition for a multiprocessor computer architecture 100 incorporating a plurality of memory algorithm processors in accordance with the present invention is shown.
- the computer architecture 100 is operative in response to user instructions and data which, in a coarse grained portion of the decomposition, are selectively directed to one of (for purposes of example only) four parallel regions 102 , through 102 4 inclusive.
- the instructions and data output from each of the parallel regions 102 1 through 102 4 are respectively input to parallel regions segregated into data areas 104 1 through 104 4 and instruction areas 106 1 through 106 4 .
- Data maintained in the data areas 104 1 through 104 4 and instructions maintained in the instruction areas 106 1 through 106 1 are then supplied to, for example, corresponding pairs of processors 108 1 , 108 2 (P1 and P2); 108 3 , 108 4 (P3 and P4); 108 5 , 108 6 (P5 and P6); and 108 7 , 108 8 (P7 and P8) as shown.
- processors 108 1 , 108 2 P1 and P2
- 108 3 , 108 4 P3 and P4
- 108 5 , 108 6 P5 and P6
- 108 7 , 108 8 P7 and P8
- a fine grained decomposition, or parallelism, is effectuated by a further algorithmic decomposition wherein the output of each of the processors 108 1 through 108 8 is broken up, for example, into a number of fundamental algorithms 110 1A , 110 1B , 110 2A , 110 2B through 110 8B as shown.
- Each of the algorithms is then supplied to a corresponding one of the MAPs 112 1A , 112 1B , 112 2A , 112 2B through 112 8B in the memory space of the computer architecture 100 for execution therein as will be more fully described hereinafter.
- Each memory bank 120 includes a bank control logic block 122 bi-directionally coupled to the computer system trunk lines, for example, a 72 line bus 124 .
- the bank control logic block 122 is coupled to a bi-directional data bus 126 (for example 256 lines) and supplies addresses on an address bus 128 (for example 17 lines) for accessing data at specified locations within a memory array 130 .
- the data bus 126 and address bus 128 are also coupled to a MAP assembly 112 .
- the MAP assembly 112 comprises a control block 132 coupled to the address bus 128 .
- the control block 132 is also bi-directionally coupled to a user field programmable gate array (“FPGA”) 134 by means of a number of signal lines 136 .
- the user FPGA 134 is coupled directly to the data bus 126 .
- the FPGA 134 may be provided as a Lucent Technologies OR3T80 device.
- the computer architecture 100 comprises a multiprocessor system employing uniform memory access across common shared memory with one or more MAPs 112 located in the memory subsystem, or memory space.
- each MAP 112 contains at least one relatively large FPGA 134 that is used as a reconfigurable functional unit.
- a control block 132 and a preprogrammed or dynamically programmable configuration read-only memory (“ROM” as will be more fully described hereinafter) contains the information needed by the reconfigurable MAP assembly 112 to enable it to perform a specific algorithm. It is also possible for the user to directly download a new configuration into the FPGA 134 under program control, although in some instances this may consume a number of memory accesses and might result in an overall decrease in system performance if the algorithm was short-lived.
- FPGAs have particular advantages in the application shown for several reasons.
- commercially available, off-the-shelf FPGAs now contain sufficient internal logic cells to perform meaningful computational functions.
- they can operate at speeds comparable to microprocessors, which eliminates the need for speed matching buffers.
- the internal programmable routing resources of FPGAs are now extensive enough that meaningful algorithms can now be programmed without the need to reassign the locations of the input/output (“I/O”) pins.
- MAP 112 By placing the MAP 112 in the memory subsystem or memory space, it can be readily accessed through the use of memory read and write commands, which allows the use of a variety of standard operating systems. In contrast, other conventional implementations propose placement of any reconfigurable logic in or near the processor. This is much less effective in a multiprocessor environment because only one processor has rapid access to it. Consequently, reconfigurable logic must be placed by every processor in a multiprocessor system, which increases the overall system cost. In addition, MAP 112 can access the memory array 130 itself, referred to as Direct Memory Access (“DMA”), allowing it to execute tasks independently and asynchronously of the processor.
- DMA Direct Memory Access
- MAP 112 has DMA capability, (allowing it to write to memory), and because it receives its operands via writes to memory, it is possible to allow a MAP 112 to feed results to another MAP 112 . This is a very powerful feature that allows for very extensive pipelining and parallelizing of large tasks, which permits them to complete faster.
- the programmer could embed the necessary commands in his application program code.
- the drawback to this approach is that a program would then have to be tailored to be specific to the MAP hardware.
- the system of the present invention eliminates this problem.
- Multiprocessor computers often use software called parallelizers.
- the purpose of this software is to analyze the user's application code and determine how best to split it up among the processors.
- the present invention provides significant advantages over a conventional parallelizer and enables it to recognize portions of the user code that represent algorithms that exist in MAPs 112 for that system and to then treat the MAP 112 as another computing element.
- the parallelizer then automatically generates the necessary code to utilize the MAP 112 . This allows the user to write the algorithm directly in his code, allowing it to be more portable and reducing the knowledge of the system hardware that he has to have to utilize the MAP 112 .
- the control block 132 is coupled to receive a number of command bits (for example, 17 ) from the address bus 128 at a command decoder 150 .
- the command decoder 150 then supplies a number of register control bits to a group of status registers 152 on an eight bit bus 154 .
- the command decoder 150 also supplies a single bit last operand flag on line 156 to a pipeline counter 158 .
- the pipeline counter 158 supplies an eight bit output to an equality comparator 160 on bus 162 .
- the equality comparitor 160 also receives an eight bit signal from the FPGA 134 on bus 136 indicative of the pipeline depth.
- the equality comparitor determines that the pipeline is empty, it provides a single bit pipeline empty flag on line 164 for input to the status registers 152 .
- the status registers are also coupled to receive an eight bit status signal from the FPGA 134 on bus 136 and it produces a sixty four bit status word output on bus 166 in response to the signals on bus 136 , 154 and line 164 .
- the command decoder 150 also supplies a five bit control signal to a configuration multiplexer (“MUX”) 170 as shown.
- the configuration mux 170 receives a single bit output of a 256 bit parallel-serial converter 172 on line 176 .
- the inputs of the 256 bit parallel-to-serial converter 172 are coupled to a 256 bit user configuration pattern bus 174 .
- the configuration mux 170 also receives sixteen single bit inputs from the configuration ROMs (illustrated as ROM 182 ) on bus 178 and provides a single bit configuration file signal on line 180 to the user FPGA 134 as selected by the control signals from the command decoder 150 on the bus 168 .
- the equality comparitor 160 in the control block 132 de-asserts a busy bit on line 164 in an internal group of status registers 152 .
- the processor 108 After issuing the last operand signal, the processor 108 will repeatedly read the status registers 152 and accept any output data on bus 166 .
- the busy flag is de-asserted, the task can be stopped and the MAP 112 utilized for a different task. It should be noted that it is also possible to leave the MAP 112 configured, transfer the program to a different processor 108 and restart the task where it left off.
- the MAP 112 may be equipped with internal registers in the control block 132 that allow it to monitor efficiency related factors such as the number of input operands versus output data, the number of idle cycles over time and the number of system monitor interrupts received over time.
- efficiency related factors such as the number of input operands versus output data, the number of idle cycles over time and the number of system monitor interrupts received over time.
Abstract
A multiprocessor computer architecture incorporating a plurality of programmable hardware memory algorithm processors (“MAP”) in the memory subsystem. The MAP may comprise one or more field programmable gate arrays (“FPGAs”) which function to perform identified algorithms in conjunction with, and tightly coupled to, a microprocessor and each MAP is globally accessible by all of the system processors for the purpose of executing user definable algorithms. A circuit within the MAP signals when the last operand has completed its flow thereby allowing a given process to be interrupted and thereafter restarted. Through the use of read only memory (“ROM”) located adjacent the FPGA, a user program may use a single command to select one of several possible pre-loaded algorithms thereby decreasing system reconfiguration time. A computer system memory structure MAP disclosed herein may function in normal or direct memory access (“DMA”) modes of operation and, in the latter mode, one device may feed results directly to another thereby allowing pipelining or parallelizing execution of a user defined algorithm. The system of the present invention also provides a user programmable performance monitoring capability and utilizes parallelizer software to automatically detect parallel regions of user applications containing algorithms that can be executed in the programmable hardware.
Description
- The present invention relates, in general, to the field of computer architectures incorporating multiple processing elements. More particularly, the present invention relates to a multiprocessor computer architecture incorporating a number of memory algorithm processors in the memory subsystem to significantly enhance overall system processing speed.
- All general purpose computers are based on circuits that have some form of processing element. These may take the form of microprocessor chips or could be a collection of smaller chips coupled together to form a processor. In any case, these processors are designed to execute programs that are defined by a set of program steps. The fact that these steps, or commands, can be rearranged to create different end results using the same computer hardware is key to the computer's flexibility. Unfortunately, this flexibility dictates that the hardware then be designed to handle a variety of possible functions, which results in generally slower operation than would be the case were it able to be designed to handle only one particular function. On the other hand, a single function computer is inherently not a particularly versatile computer.
- Recently, several groups have begun to experiment with creating a processor out of circuits that are electrically reconfigurable. This would allow the processor to execute a small set of functions more quickly and then be electrically reconfigured to execute a different small set. While this accelerates some program execution speeds, there are many functions that cannot be implemented well in this type of system due to the circuit densities that can be achieved in reconfigurable integrated circuits, such as 64-bit floating point math. In addition, all of these systems are presently intended to contain processors that operate alone. In high performance systems, this is not the case. Hundreds or even tens of thousands of processors are often used to solve a single problem in a timely manner. This introduces numerous issues that such reconfigurable computers cannot handle, such as sharing of a single copy of the operating system. In addition, a large system constructed from this type of custom hardware would naturally be very expensive to produce.
- In response to these shortcomings, SRC Computers, Inc., Colorado Springs, Colo., assignee of the present invention, has developed a Memory Algorithm Processor (“MAP”) multiprocessor computer architecture that utilizes very high performance microprocessors in conjunction with user reconfigurable hardware elements. These reconfigurable elements, referred to as MAPs, are globally accessible by all processors in the systems. In addition, the manufacturing cost and design time of a particular multiprocessor computer system is relatively low inasmuch as it can be built using industry standard, commodity integrated circuits and, in a preferred embodiment, each MAP may comprise a Field Programmable Gate Array (“FPGA”) operating as a reconfigurable functional unit.
- Particularly disclosed herein is the utilization of one or more FPGAs to perform user defined algorithms in conjunction with, and tightly coupled to, a microprocessor. More particularly, in a multiprocessor computer system, the FPGAs are globally accessible by all of the system processors for the purpose of executing user definable algorithms.
- In a particular implementation of the present invention disclosed herein, a circuit is provided either within, or in conjunction with, the FPGAs which signals, by means of a control bit, when the last operand has completed its flow through the MAP, thereby allowing a given process to be interrupted and thereafter restarted. In a still more specific implementation, one or more read only memory (“ROM”) integrated circuit chips may be coupled adjacent the FPGA to allow a user program to use a single command to select one of several possible algorithms preloaded in the ROM thereby decreasing system reconfiguration time.
- Still further provided is a computer system memory structure which includes one or more FPGAs for the purpose of using normal memory access protocol to access it as well as being capable of direct memory access (“DMA”) operation. In a multiprocessor computer system, FPGAs configured with DMA capability enable one device to feed results directly to another thereby allowing pipelining or parallelizing execution of a user defined algorithm located in the reconfigurable hardware. The system and method of the present invention also provide a user programmable performance monitoring capability and utilizes parallelizer software to automatically detect parallel regions of user applications containing algorithms that can be executed in programmable hardware.
- Broadly, what is disclosed herein is a computer including at least one data processor for operating on user data in accordance with program instructions. The computer includes at least one memory array presenting a data and address bus and comprises a memory algorithm processor associated with the memory array and coupled to the data and address buses. The memory algorithm processor is configurable to perform at least one identified algorithm on an operand received from a write operation to the memory array.
- Also disclosed herein is a multiprocessor computer including a first plurality of data processors for operating on user data in accordance with program instructions and a second plurality of memory arrays, each presenting a data and address bus. The computer comprises a memory algorithm processor associated with at least one of the second plurality of memory arrays and coupled to the data and address bus thereof. The memory algorithm processor is configurable to perform at least one identified algorithm on an operand received from a write operation to the associated one of the second plurality of memory arrays.
- The aforementioned and other features and objects of the present invention and the manner of attaining them will become more apparent and the invention itself will be best understood by reference to the following description of a preferred embodiment taken in conjunction with the accompanying drawings, wherein:
- FIG. 1 is a simplified, high level, functional block diagram of a standard multiprocessor computer architecture;
- FIG. 2 is a simplified logical block diagram of a possible computer application program decomposition sequence for use in conjunction with a multiprocessor computer architecture utilizing a number of memory algorithm processors (“MAPs”) in accordance with the present invention;
- FIG. 3 is a more detailed functional block diagram of an individual one of the MAPs of the preceding figure and illustrating the bank control logic, memory array and MAP assembly thereof; and
- FIG. 4 is a more detailed functional block diagram of the control block of the MAP assembly of the preceding illustration illustrating its interconnection to the user FPGA thereof.
- With reference now to FIG. 1, a
conventional multiprocessor computer 10 architecture is shown. Themultiprocessor computer 10 incorporates N processors 12 0 through 12 N which are bi-directionally coupled to amemory interconnect fabric 14. Thememory interconnect fabric 14 is then also coupled to M memory banks comprising memory bank subsystems 16 0 (Bank 0) through 16 M (Bank M). - With reference now to FIG. 2, a representative application program decomposition for a
multiprocessor computer architecture 100 incorporating a plurality of memory algorithm processors in accordance with the present invention is shown. Thecomputer architecture 100 is operative in response to user instructions and data which, in a coarse grained portion of the decomposition, are selectively directed to one of (for purposes of example only) four parallel regions 102, through 102 4 inclusive. The instructions and data output from each of the parallel regions 102 1 through 102 4 are respectively input to parallel regions segregated into data areas 104 1 through 104 4 and instruction areas 106 1 through 106 4. Data maintained in the data areas 104 1 through 104 4 and instructions maintained in the instruction areas 106 1 through 106 1 are then supplied to, for example, corresponding pairs of processors 108 1, 108 2 (P1 and P2); 108 3, 108 4 (P3 and P4); 108 5, 108 6 (P5 and P6); and 108 7, 108 8 (P7 and P8) as shown. At this point, the medium grained decomposition of the instructions and data has been accomplished. - A fine grained decomposition, or parallelism, is effectuated by a further algorithmic decomposition wherein the output of each of the processors108 1 through 108 8 is broken up, for example, into a number of fundamental algorithms 110 1A, 110 1B, 110 2A, 110 2B through 110 8B as shown. Each of the algorithms is then supplied to a corresponding one of the
MAPs computer architecture 100 for execution therein as will be more fully described hereinafter. - With reference additionally now to FIG. 3, a preferred implementation of a
memory bank 120 in a MAPsystem computer architecture 100 of the present invention is shown for a representative one of theMAPs 112 illustrated in the preceding figure. Eachmemory bank 120 includes a bankcontrol logic block 122 bi-directionally coupled to the computer system trunk lines, for example, a 72line bus 124. The bankcontrol logic block 122 is coupled to a bi-directional data bus 126 (for example 256 lines) and supplies addresses on an address bus 128 (for example 17 lines) for accessing data at specified locations within amemory array 130. - The
data bus 126 andaddress bus 128 are also coupled to aMAP assembly 112. TheMAP assembly 112 comprises acontrol block 132 coupled to theaddress bus 128. Thecontrol block 132 is also bi-directionally coupled to a user field programmable gate array (“FPGA”) 134 by means of a number ofsignal lines 136. Theuser FPGA 134 is coupled directly to thedata bus 126. In a particular embodiment, theFPGA 134 may be provided as a Lucent Technologies OR3T80 device. - The
computer architecture 100 comprises a multiprocessor system employing uniform memory access across common shared memory with one ormore MAPs 112 located in the memory subsystem, or memory space. As previously described, eachMAP 112 contains at least one relativelylarge FPGA 134 that is used as a reconfigurable functional unit. In addition, acontrol block 132 and a preprogrammed or dynamically programmable configuration read-only memory (“ROM” as will be more fully described hereinafter) contains the information needed by thereconfigurable MAP assembly 112 to enable it to perform a specific algorithm. It is also possible for the user to directly download a new configuration into theFPGA 134 under program control, although in some instances this may consume a number of memory accesses and might result in an overall decrease in system performance if the algorithm was short-lived. - FPGAs have particular advantages in the application shown for several reasons. First, commercially available, off-the-shelf FPGAs now contain sufficient internal logic cells to perform meaningful computational functions. Secondly, they can operate at speeds comparable to microprocessors, which eliminates the need for speed matching buffers. Still further, the internal programmable routing resources of FPGAs are now extensive enough that meaningful algorithms can now be programmed without the need to reassign the locations of the input/output (“I/O”) pins.
- By placing the
MAP 112 in the memory subsystem or memory space, it can be readily accessed through the use of memory read and write commands, which allows the use of a variety of standard operating systems. In contrast, other conventional implementations propose placement of any reconfigurable logic in or near the processor. This is much less effective in a multiprocessor environment because only one processor has rapid access to it. Consequently, reconfigurable logic must be placed by every processor in a multiprocessor system, which increases the overall system cost. In addition,MAP 112 can access thememory array 130 itself, referred to as Direct Memory Access (“DMA”), allowing it to execute tasks independently and asynchronously of the processor. In comparison, were it were placed near the processor, it would have to compete with the processors for system routing resources in order to access memory, which deleteriously impacts processor performance. BecauseMAP 112 has DMA capability, (allowing it to write to memory), and because it receives its operands via writes to memory, it is possible to allow aMAP 112 to feed results to anotherMAP 112. This is a very powerful feature that allows for very extensive pipelining and parallelizing of large tasks, which permits them to complete faster. - Many of the algorithms that may be implemented will receive an operand and require many clock cycles to produce a result. One such example may be a multiplication that takes 64 clock cycles. This same multiplication may also need to be performed on thousands of operands. In this situation, the incoming operands would be presented sequentially so that while the first operand requires 64 clock cycles to produce results at the output, the second operand, arriving one clock cycle later at the input, will show results one clock cycle later at the output. Thus, after an initial delay of 64 clock cycles, new output data will appear on every consecutive clock cycle until the results of the last operand appears. This is called “pipelining”.
- In a multiprocessor system, it is quite common for the operating system to stop a processor in the middle of a task, reassign it to a higher priority task, and then return it, or another, to complete the initial task. When this is combined with a pipelined algorithm, a problem arises (if the processor stops issuing operands in the middle of a list and stops accepting results) with respect to operands already issued but not yet through the pipeline. To handle this issue, a solution involving the combination of software and hardware is disclosed herein.
- To make use of any type of conventional reconfigurable hardware, the programmer could embed the necessary commands in his application program code. The drawback to this approach is that a program would then have to be tailored to be specific to the MAP hardware. The system of the present invention eliminates this problem. Multiprocessor computers often use software called parallelizers. The purpose of this software is to analyze the user's application code and determine how best to split it up among the processors. The present invention provides significant advantages over a conventional parallelizer and enables it to recognize portions of the user code that represent algorithms that exist in
MAPs 112 for that system and to then treat theMAP 112 as another computing element. The parallelizer then automatically generates the necessary code to utilize theMAP 112. This allows the user to write the algorithm directly in his code, allowing it to be more portable and reducing the knowledge of the system hardware that he has to have to utilize theMAP 112. - With reference additionally now to FIG. 4, a block diagram of the
MAP control block 132 is shown in greater detail. Thecontrol block 132 is coupled to receive a number of command bits (for example, 17) from theaddress bus 128 at acommand decoder 150. Thecommand decoder 150 then supplies a number of register control bits to a group of status registers 152 on an eightbit bus 154. Thecommand decoder 150 also supplies a single bit last operand flag online 156 to apipeline counter 158. Thepipeline counter 158 supplies an eight bit output to anequality comparator 160 onbus 162. Theequality comparitor 160 also receives an eight bit signal from theFPGA 134 onbus 136 indicative of the pipeline depth. When the equality comparitor determines that the pipeline is empty, it provides a single bit pipeline empty flag online 164 for input to the status registers 152. The status registers are also coupled to receive an eight bit status signal from theFPGA 134 onbus 136 and it produces a sixty four bit status word output onbus 166 in response to the signals onbus line 164. - The
command decoder 150 also supplies a five bit control signal to a configuration multiplexer (“MUX”) 170 as shown. Theconfiguration mux 170 receives a single bit output of a 256 bit parallel-serial converter 172 online 176. The inputs of the 256 bit parallel-to-serial converter 172 are coupled to a 256 bit userconfiguration pattern bus 174. Theconfiguration mux 170 also receives sixteen single bit inputs from the configuration ROMs (illustrated as ROM 182) onbus 178 and provides a single bit configuration file signal on line 180 to theuser FPGA 134 as selected by the control signals from thecommand decoder 150 on thebus 168. - In operation, when a processor108 is halted by the operating system, the operating system will issue a last operand command to the
MAP 112 through the use of command bits embedded in the address field onbus 128. This command is recognized by thecommand decoder 150 of thecontrol block 132 and it initiates ahardware pipeline counter 158. When the algorithm was initially loaded into theFPGA 134, several output bits connected to thecontrol block 132 were configured to display a binary representation of the number of clock cycles required to get through its pipeline (i.e. pipeline “depth”)onbus 136 input to theequality comparitor 160. After receiving the last operand command, thepipeline counter 158 in the control block 132 counts clock cycles until its count equals the pipeline depth for that particular algorithm. At that point, theequality comparitor 160 in the control block 132 de-asserts a busy bit online 164 in an internal group of status registers 152. After issuing the last operand signal, the processor 108 will repeatedly read the status registers 152 and accept any output data onbus 166. When the busy flag is de-asserted, the task can be stopped and theMAP 112 utilized for a different task. It should be noted that it is also possible to leave theMAP 112 configured, transfer the program to a different processor 108 and restart the task where it left off. - In order to evaluate the effectiveness of the use of the
MAP 112 in a given application, some form of feedback to the use is required. Therefore, theMAP 112 may be equipped with internal registers in the control block 132 that allow it to monitor efficiency related factors such as the number of input operands versus output data, the number of idle cycles over time and the number of system monitor interrupts received over time. One of the advantages that theMAP 112 has is that because of its reconfigurable nature, the actual function and type of function that are monitored can also change as the algorithm changes. This provides the user with an almost infinite number of possible monitored factors without having to monitor all factors all of the time. - While there have been described above the principles of the present invention in conjunction with a specific multiprocessor architecture it is to be clearly understood that the foregoing description is made only by way of example and not as a limitation to the scope of the invention. Particularly, it is recognized that the teachings of the foregoing disclosure will suggest other modifications to those persons skilled in the relevant art. Such modifications may involve other features which are already known per se and which may be used instead c. or in addition to features already described herein. Although claims have been formulated in this application to particular combinations of features, it should be understood that the scope of the disclosure herein also includes any novel feature or any novel combination of features disclosed either explicitly or implicitly or any generalization or modification thereof which would be apparent to persons skilled in the relevant art, whether or not such relates to the same invention as presently claimed in any claim and whether or not it mitigates any or all of the same technical problems as confronted by the present invention. The applicants hereby reserve the right to formulate new claims to such features and/or combinations of such features during the prosecution of the present application or of any further application derived therefrom.
Claims (24)
1. A computer including at least one data processor for operating on user data in accordance with program instructions, said computer further including at least one memory array presenting a data and address bus, said computer comprising:
a memory algorithm processor associated with said memory array and coupled to said data and address buses, said memory algorithm processor being configurable to perform at least one identified algorithm on an operand received from a write operation to said memory array.
2. The computer of wherein said memory algorithm processor comprises a field programmable gate array.
claim 1
3. The computer of wherein said memory algorithm processor is operative to access said memory array independently of said processor.
claim 1
4. The computer of wherein said at least one identified algorithm is preprogrammed into said memory algorithm processor.
claim 1
5. The computer of wherein said at least one identified algorithm is preprogrammed into a memory device associated with said memory algorithm processor.
claim 4
6. The computer of wherein said memory device comprises at least one read only memory device.
claim 5
7. The computer of further comprising a first plurality of said data processors and a second plurality of said memory arrays, each of said memory arrays comprising an associated memory algorithm processor.
claim 1
8. The computer of wherein a memory algorithm processor associated with a first one of said second plurality of said memory arrays is operative to pass a result of a processed operand to another memory algorithm processor associated with a second one of said second plurality of said memory arrays.
claim 7
9. The computer of wherein said memory algorithm processor further comprises:
claim 1
a control block including a command decoder coupled to said address bus and a counter coupled to said command decoder, said command decoder for providing a last operand flag to said counter in response to a last operand command from an operating system of said at least one processor.
10. The computer of wherein said memory algorithm processor further comprises:
claim 9
an equality comparator coupled to receive a pipeline depth signal and an output of said counter for providing a pipeline empty flag to at least one status register.
11. The computer of wherein said status register is coupled to said command decoder to receive a register control signal and a status signal to provide a status word output signal.
claim 10
12. A multiprocessor computer including a first plurality of data processors for operating on user data in accordance with program instructions and a second plurality of memory arrays, each presenting a data and address bus, said computer comprising:
a memory algorithm processor associated with at least one of said second plurality of memory arrays and coupled to said data and address bus thereof, said memory algorithm processor being configurable to perform at least one identified algorithm on an operand received from a write operation to said associated one of said second plurality of memory arrays.
13. The multiprocessor computer of wherein said memory algorithm processor associated with one of said second plurality of memory arrays is accessible by more than one of said first plurality of data processors.
claim 12
14. The multiprocessor computer of wherein said memory algorithm processor associated with one of said second plurality of memory arrays is accessible by all of said first plurality of data processors.
claim 13
15. The multiprocessor computer of wherein said memory algorithm processor comprises:
claim 12
a control block operative to provide a last operand flag in response to a last operand having been processed in said memory algorithm processor.
16. The multiprocessor computer of further comprising:
claim 12
at least one memory device associated with said memory algorithm processor for storing a number of pre-loaded algorithms.
17. The multiprocessor computer of wherein said at least one memory device is responsive to a predetermined command to enable a selected one of said number of pre-loaded algorithms to be implemented by said memory algorithm processor.
claim 16
18. The multiprocessor computer of wherein said at least one memory device comprises at least one read only memory device.
claim 16
19. The multiprocessor computer of wherein said memory algorithm processor comprises a field programmable gate array.
claim 12
20. The multiprocessor computer of wherein said memory algorithm processor is accessible through normal memory access protocol.
claim 12
21. The multiprocessor computer of wherein said memory algorithm processor has direct memory access capability to said associated one of said second plurality of memory arrays.
claim 12
22. The multiprocessor computer of wherein a memory algorithm processor associated with a first one of said second plurality of said memory arrays is operative to pass a result of a processed operand to another memory algorithm processor associated with a second one of said second plurality of said memory arrays.
claim 12
23. The multiprocessor computer of wherein said computer is operative to automatically detect parallel regions of application program code that are capable of being executed in said memory algorithm processor.
claim 12
24. The multiprocessor computer of wherein said memory algorithm processor is configurable by said application program code.
claim 23
Priority Applications (12)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US09/755,744 US20010014937A1 (en) | 1997-12-17 | 2001-01-05 | Multiprocessor computer architecture incorporating a plurality of memory algorithm processors in the memory subsystem |
US09/932,330 US7373440B2 (en) | 1997-12-17 | 2001-08-17 | Switch/network adapter port for clustered computers employing a chain of multi-adaptive processors in a dual in-line memory module format |
US10/282,986 US7003593B2 (en) | 1997-12-17 | 2002-10-29 | Computer system architecture and memory controller for close-coupling within a hybrid processing system utilizing an adaptive processor interface port |
US10/339,133 US6961841B2 (en) | 1997-12-17 | 2003-01-08 | Multiprocessor computer architecture incorporating a plurality of memory algorithm processors in the memory subsystem |
US10/340,390 US7197575B2 (en) | 1997-12-17 | 2003-01-10 | Switch/network adapter port coupling a reconfigurable processing element to one or more microprocessors for use with interleaved memory controllers |
US10/618,041 US7424552B2 (en) | 1997-12-17 | 2003-07-11 | Switch/network adapter port incorporating shared memory resources selectively accessible by a direct execution logic element and one or more dense logic devices |
US10/869,199 US20040236877A1 (en) | 1997-12-17 | 2004-06-16 | Switch/network adapter port incorporating shared memory resources selectively accessible by a direct execution logic element and one or more dense logic devices in a fully buffered dual in-line memory module format (FB-DIMM) |
US10/969,635 US7237091B2 (en) | 1997-12-17 | 2004-10-20 | Multiprocessor computer architecture incorporating a plurality of memory algorithm processors in the memory subsystem |
US10/996,016 US7421524B2 (en) | 1997-12-17 | 2004-11-23 | Switch/network adapter port for clustered computers employing a chain of multi-adaptive processors in a dual in-line memory module format |
US11/187,534 US20050256994A1 (en) | 1997-12-17 | 2005-07-22 | System and method for providing an arbitrated memory bus in a hybrid computing system |
US11/203,983 US7565461B2 (en) | 1997-12-17 | 2005-08-15 | Switch/network adapter port coupling a reconfigurable processing element to one or more microprocessors for use with interleaved memory controllers |
US11/834,439 US7680968B2 (en) | 1997-12-17 | 2007-08-06 | Switch/network adapter port incorporating shared memory resources selectively accessible by a direct execution logic element and one or more dense logic devices in a fully buffered dual in-line memory module format (FB-DIMM) |
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US08/992,763 US6076152A (en) | 1997-12-17 | 1997-12-17 | Multiprocessor computer architecture incorporating a plurality of memory algorithm processors in the memory subsystem |
US09/481,902 US6247110B1 (en) | 1997-12-17 | 2000-01-12 | Multiprocessor computer architecture incorporating a plurality of memory algorithm processors in the memory subsystem |
US09/755,744 US20010014937A1 (en) | 1997-12-17 | 2001-01-05 | Multiprocessor computer architecture incorporating a plurality of memory algorithm processors in the memory subsystem |
Related Parent Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US09/481,902 Division US6247110B1 (en) | 1997-12-17 | 2000-01-12 | Multiprocessor computer architecture incorporating a plurality of memory algorithm processors in the memory subsystem |
Related Child Applications (4)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US09/932,330 Continuation-In-Part US7373440B2 (en) | 1997-12-17 | 2001-08-17 | Switch/network adapter port for clustered computers employing a chain of multi-adaptive processors in a dual in-line memory module format |
US10/282,986 Continuation-In-Part US7003593B2 (en) | 1997-12-17 | 2002-10-29 | Computer system architecture and memory controller for close-coupling within a hybrid processing system utilizing an adaptive processor interface port |
US10/339,133 Continuation US6961841B2 (en) | 1997-12-17 | 2003-01-08 | Multiprocessor computer architecture incorporating a plurality of memory algorithm processors in the memory subsystem |
US11/187,534 Continuation US20050256994A1 (en) | 1997-12-17 | 2005-07-22 | System and method for providing an arbitrated memory bus in a hybrid computing system |
Publications (1)
Publication Number | Publication Date |
---|---|
US20010014937A1 true US20010014937A1 (en) | 2001-08-16 |
Family
ID=25538715
Family Applications (5)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US08/992,763 Expired - Lifetime US6076152A (en) | 1997-12-17 | 1997-12-17 | Multiprocessor computer architecture incorporating a plurality of memory algorithm processors in the memory subsystem |
US09/481,902 Expired - Lifetime US6247110B1 (en) | 1997-12-17 | 2000-01-12 | Multiprocessor computer architecture incorporating a plurality of memory algorithm processors in the memory subsystem |
US09/755,744 Abandoned US20010014937A1 (en) | 1997-12-17 | 2001-01-05 | Multiprocessor computer architecture incorporating a plurality of memory algorithm processors in the memory subsystem |
US10/339,133 Expired - Lifetime US6961841B2 (en) | 1997-12-17 | 2003-01-08 | Multiprocessor computer architecture incorporating a plurality of memory algorithm processors in the memory subsystem |
US10/969,635 Expired - Fee Related US7237091B2 (en) | 1997-12-17 | 2004-10-20 | Multiprocessor computer architecture incorporating a plurality of memory algorithm processors in the memory subsystem |
Family Applications Before (2)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US08/992,763 Expired - Lifetime US6076152A (en) | 1997-12-17 | 1997-12-17 | Multiprocessor computer architecture incorporating a plurality of memory algorithm processors in the memory subsystem |
US09/481,902 Expired - Lifetime US6247110B1 (en) | 1997-12-17 | 2000-01-12 | Multiprocessor computer architecture incorporating a plurality of memory algorithm processors in the memory subsystem |
Family Applications After (2)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US10/339,133 Expired - Lifetime US6961841B2 (en) | 1997-12-17 | 2003-01-08 | Multiprocessor computer architecture incorporating a plurality of memory algorithm processors in the memory subsystem |
US10/969,635 Expired - Fee Related US7237091B2 (en) | 1997-12-17 | 2004-10-20 | Multiprocessor computer architecture incorporating a plurality of memory algorithm processors in the memory subsystem |
Country Status (5)
Country | Link |
---|---|
US (5) | US6076152A (en) |
EP (1) | EP1038253B1 (en) |
JP (2) | JP4921638B2 (en) |
CA (1) | CA2313462C (en) |
WO (1) | WO1999031617A2 (en) |
Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2004042569A2 (en) * | 2002-10-31 | 2004-05-21 | Lockheed Martin Corporation | Programmable circuit and related computing machine and method |
US20040136241A1 (en) * | 2002-10-31 | 2004-07-15 | Lockheed Martin Corporation | Pipeline accelerator for improved computing architecture and related system and method |
US20060085781A1 (en) * | 2004-10-01 | 2006-04-20 | Lockheed Martin Corporation | Library for computer-based tool and related system and method |
US9411528B1 (en) | 2015-04-22 | 2016-08-09 | Ryft Systems, Inc. | Storage management systems and methods |
US9411613B1 (en) | 2015-04-22 | 2016-08-09 | Ryft Systems, Inc. | Systems and methods for managing execution of specialized processors |
US20160313725A1 (en) * | 2014-01-17 | 2016-10-27 | Chongqing University | A dynamically configurable intelligent controller and control method for machine tools based on dsp/fpga |
US9542244B2 (en) | 2015-04-22 | 2017-01-10 | Ryft Systems, Inc. | Systems and methods for performing primitive tasks using specialized processors |
CN111673767A (en) * | 2020-06-23 | 2020-09-18 | 浪潮集团有限公司 | Robot data security protection co-processing method and system |
Families Citing this family (90)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6241734B1 (en) * | 1998-08-14 | 2001-06-05 | Kyphon, Inc. | Systems and methods for placing materials into bone |
US7424552B2 (en) * | 1997-12-17 | 2008-09-09 | Src Computers, Inc. | Switch/network adapter port incorporating shared memory resources selectively accessible by a direct execution logic element and one or more dense logic devices |
US6996656B2 (en) * | 2002-10-31 | 2006-02-07 | Src Computers, Inc. | System and method for providing an arbitrated memory bus in a hybrid computing system |
US6339819B1 (en) * | 1997-12-17 | 2002-01-15 | Src Computers, Inc. | Multiprocessor with each processor element accessing operands in loaded input buffer and forwarding results to FIFO output buffer |
US20040236877A1 (en) * | 1997-12-17 | 2004-11-25 | Lee A. Burton | Switch/network adapter port incorporating shared memory resources selectively accessible by a direct execution logic element and one or more dense logic devices in a fully buffered dual in-line memory module format (FB-DIMM) |
US7373440B2 (en) * | 1997-12-17 | 2008-05-13 | Src Computers, Inc. | Switch/network adapter port for clustered computers employing a chain of multi-adaptive processors in a dual in-line memory module format |
US7003593B2 (en) * | 1997-12-17 | 2006-02-21 | Src Computers, Inc. | Computer system architecture and memory controller for close-coupling within a hybrid processing system utilizing an adaptive processor interface port |
US6434687B1 (en) * | 1997-12-17 | 2002-08-13 | Src Computers, Inc. | System and method for accelerating web site access and processing utilizing a computer system incorporating reconfigurable processors operating under a single operating system image |
US7197575B2 (en) * | 1997-12-17 | 2007-03-27 | Src Computers, Inc. | Switch/network adapter port coupling a reconfigurable processing element to one or more microprocessors for use with interleaved memory controllers |
US6076152A (en) | 1997-12-17 | 2000-06-13 | Src Computers, Inc. | Multiprocessor computer architecture incorporating a plurality of memory algorithm processors in the memory subsystem |
US7565461B2 (en) * | 1997-12-17 | 2009-07-21 | Src Computers, Inc. | Switch/network adapter port coupling a reconfigurable processing element to one or more microprocessors for use with interleaved memory controllers |
GB9902115D0 (en) * | 1999-02-01 | 1999-03-24 | Axeon Limited | Neural networks |
US7073069B1 (en) * | 1999-05-07 | 2006-07-04 | Infineon Technologies Ag | Apparatus and method for a programmable security processor |
US6999994B1 (en) * | 1999-07-01 | 2006-02-14 | International Business Machines Corporation | Hardware device for processing the tasks of an algorithm in parallel |
US6769122B1 (en) * | 1999-07-02 | 2004-07-27 | Silicon Graphics, Inc. | Multithreaded layered-code processor |
US6438737B1 (en) * | 2000-02-15 | 2002-08-20 | Intel Corporation | Reconfigurable logic for a computer |
US6754677B1 (en) | 2000-05-30 | 2004-06-22 | Outlooksoft Corporation | Method and system for facilitating information exchange |
US7082569B2 (en) * | 2001-01-17 | 2006-07-25 | Outlooksoft Corporation | Systems and methods providing dynamic spreadsheet functionality |
JP4688316B2 (en) * | 2001-02-28 | 2011-05-25 | 独立行政法人産業技術総合研究所 | Simulation apparatus and simulation method, and video generation apparatus and video generation method |
BR0213848A (en) * | 2001-11-01 | 2005-12-20 | Mattel Inc | Game, tile used for board game use and simulated battle method between mobile play piece |
EP1474661B1 (en) * | 2002-01-18 | 2011-05-04 | SPM Instrument AB | An apparatus for analysing the condition of a machine |
US6941538B2 (en) * | 2002-02-22 | 2005-09-06 | Xilinx, Inc. | Method and system for integrating cores in FPGA-based system-on-chip (SoC) |
US7406573B2 (en) * | 2002-05-09 | 2008-07-29 | Src Computers, Inc. | Reconfigurable processor element utilizing both coarse and fine grained reconfigurable elements |
US20030212853A1 (en) * | 2002-05-09 | 2003-11-13 | Huppenthal Jon M. | Adaptive processor architecture incorporating a field programmable gate array control element having at least one embedded microprocessor core |
US11337728B2 (en) | 2002-05-31 | 2022-05-24 | Teleflex Life Sciences Limited | Powered drivers, intraosseous devices and methods to access bone marrow |
EP2064997B1 (en) | 2002-05-31 | 2011-04-27 | Vidacare Corporation | Apparatus to access the bone marrow |
US8641715B2 (en) | 2002-05-31 | 2014-02-04 | Vidacare Corporation | Manual intraosseous device |
US10973545B2 (en) | 2002-05-31 | 2021-04-13 | Teleflex Life Sciences Limited | Powered drivers, intraosseous devices and methods to access bone marrow |
US8668698B2 (en) | 2002-05-31 | 2014-03-11 | Vidacare Corporation | Assembly for coupling powered driver with intraosseous device |
US7620678B1 (en) * | 2002-06-12 | 2009-11-17 | Nvidia Corporation | Method and system for reducing the time-to-market concerns for embedded system design |
DE60204687T2 (en) * | 2002-09-06 | 2006-05-18 | Sun Microsystems, Inc., Santa Clara | Memory copy command specifying source and destination executed in memory controller |
US7124211B2 (en) | 2002-10-23 | 2006-10-17 | Src Computers, Inc. | System and method for explicit communication of messages between processes running on different nodes in a clustered multiprocessor system |
US7155708B2 (en) * | 2002-10-31 | 2006-12-26 | Src Computers, Inc. | Debugging and performance profiling using control-dataflow graph representations with reconfigurable hardware emulation |
US7299458B2 (en) | 2002-10-31 | 2007-11-20 | Src Computers, Inc. | System and method for converting control flow graph representations to control-dataflow graph representations |
US7225324B2 (en) | 2002-10-31 | 2007-05-29 | Src Computers, Inc. | Multi-adaptive processing systems and techniques for enhancing parallelism and performance of computational functions |
US6983456B2 (en) * | 2002-10-31 | 2006-01-03 | Src Computers, Inc. | Process for converting programs in high-level programming languages to a unified executable for hybrid computing platforms |
US6964029B2 (en) * | 2002-10-31 | 2005-11-08 | Src Computers, Inc. | System and method for partitioning control-dataflow graph representations |
US6941539B2 (en) * | 2002-10-31 | 2005-09-06 | Src Computers, Inc. | Efficiency of reconfigurable hardware |
US20040139297A1 (en) * | 2003-01-10 | 2004-07-15 | Huppenthal Jon M. | System and method for scalable interconnection of adaptive processor nodes for clustered computer systems |
EP1599794B1 (en) * | 2003-03-05 | 2009-02-18 | Bridgeco AG | Processor with different types of control units for commonly used resources |
US7873811B1 (en) | 2003-03-10 | 2011-01-18 | The United States Of America As Represented By The United States Department Of Energy | Polymorphous computing fabric |
US9504477B2 (en) | 2003-05-30 | 2016-11-29 | Vidacare LLC | Powered driver |
US7149867B2 (en) * | 2003-06-18 | 2006-12-12 | Src Computers, Inc. | System and method of enhancing efficiency and utilization of memory bandwidth in reconfigurable hardware |
US7299339B2 (en) * | 2004-08-30 | 2007-11-20 | The Boeing Company | Super-reconfigurable fabric architecture (SURFA): a multi-FPGA parallel processing architecture for COTS hybrid computing framework |
US7350055B2 (en) | 2004-10-20 | 2008-03-25 | Arm Limited | Tightly coupled accelerator |
US7318143B2 (en) * | 2004-10-20 | 2008-01-08 | Arm Limited | Reuseable configuration data |
US7343482B2 (en) * | 2004-10-20 | 2008-03-11 | Arm Limited | Program subgraph identification |
US7765250B2 (en) * | 2004-11-15 | 2010-07-27 | Renesas Technology Corp. | Data processor with internal memory structure for processing stream data |
US7890686B2 (en) * | 2005-10-17 | 2011-02-15 | Src Computers, Inc. | Dynamic priority conflict resolution in a multi-processor computer system having shared resources |
US7716100B2 (en) * | 2005-12-02 | 2010-05-11 | Kuberre Systems, Inc. | Methods and systems for computing platform |
US8984256B2 (en) * | 2006-02-03 | 2015-03-17 | Russell Fish | Thread optimized multiprocessor architecture |
KR100812346B1 (en) * | 2006-02-06 | 2008-03-11 | 삼성전자주식회사 | Method and Apparatus for Interrupt Handling in Reconfigurable Array |
US7769754B2 (en) * | 2006-05-15 | 2010-08-03 | Algebraix Data Corporation | Systems and methods for data storage and retrieval using algebraic optimization |
US7720806B2 (en) * | 2006-05-15 | 2010-05-18 | Algebraix Data Corporation | Systems and methods for data manipulation using multiple storage formats |
US7877370B2 (en) * | 2006-05-15 | 2011-01-25 | Algebraix Data Corporation | Systems and methods for data storage and retrieval using algebraic relations composed from query language statements |
US7613734B2 (en) * | 2006-05-15 | 2009-11-03 | Xsprada Corporation | Systems and methods for providing data sets using a store of albegraic relations |
US7797319B2 (en) * | 2006-05-15 | 2010-09-14 | Algebraix Data Corporation | Systems and methods for data model mapping |
US7865503B2 (en) * | 2006-05-15 | 2011-01-04 | Algebraix Data Corporation | Systems and methods for data storage and retrieval using virtual data sets |
KR100778459B1 (en) * | 2006-05-26 | 2007-11-21 | (주) 컴파스 시스템 | Apparatus and method for programming, erasing and verificating a pluality of electronic devices |
US7856545B2 (en) * | 2006-07-28 | 2010-12-21 | Drc Computer Corporation | FPGA co-processor for accelerated computation |
US8944069B2 (en) | 2006-09-12 | 2015-02-03 | Vidacare Corporation | Assemblies for coupling intraosseous (IO) devices to powered drivers |
US7555469B2 (en) * | 2006-11-16 | 2009-06-30 | L-3 Communications Integrated Systems L.P. | Reconfigurable neural network systems and methods utilizing FPGAs having packet routers |
US20080282072A1 (en) * | 2007-05-08 | 2008-11-13 | Leonard Todd E | Executing Software Within Real-Time Hardware Constraints Using Functionally Programmable Branch Table |
US8156307B2 (en) * | 2007-08-20 | 2012-04-10 | Convey Computer | Multi-processor system having at least one processor that comprises a dynamically reconfigurable instruction set |
US8561037B2 (en) * | 2007-08-29 | 2013-10-15 | Convey Computer | Compiler for generating an executable comprising instructions for a plurality of different instruction sets |
US8095735B2 (en) | 2008-08-05 | 2012-01-10 | Convey Computer | Memory interleave for heterogeneous computing |
US9710384B2 (en) | 2008-01-04 | 2017-07-18 | Micron Technology, Inc. | Microprocessor architecture having alternative memory access paths |
US8122229B2 (en) * | 2007-09-12 | 2012-02-21 | Convey Computer | Dispatch mechanism for dispatching instructions from a host processor to a co-processor |
US9015399B2 (en) | 2007-08-20 | 2015-04-21 | Convey Computer | Multiple data channel memory module architecture |
US8429394B1 (en) | 2008-03-12 | 2013-04-23 | Stone Ridge Technology | Reconfigurable computing system that shares processing between a host processor and one or more reconfigurable hardware modules |
US20100115233A1 (en) * | 2008-10-31 | 2010-05-06 | Convey Computer | Dynamically-selectable vector register partitioning |
US8205066B2 (en) | 2008-10-31 | 2012-06-19 | Convey Computer | Dynamically configured coprocessor for different extended instruction set personality specific to application program with shared memory storing instructions invisibly dispatched from host processor |
US8423745B1 (en) | 2009-11-16 | 2013-04-16 | Convey Computer | Systems and methods for mapping a neighborhood of data to general registers of a processing element |
US9069747B2 (en) | 2010-08-26 | 2015-06-30 | Sap Se | Methods, apparatus, systems and computer readable mediums for use in association with electronic spreadsheets |
US20120117318A1 (en) * | 2010-11-05 | 2012-05-10 | Src Computers, Inc. | Heterogeneous computing system comprising a switch/network adapter port interface utilizing load-reduced dual in-line memory modules (lr-dimms) incorporating isolation memory buffers |
DE102011116442A1 (en) * | 2011-10-20 | 2013-04-25 | Robert Bosch Gmbh | Control device and method for controlling a movement of an element of a plant |
US20130157639A1 (en) | 2011-12-16 | 2013-06-20 | SRC Computers, LLC | Mobile electronic devices utilizing reconfigurable processing techniques to enable higher speed applications with lowered power consumption |
US8583687B1 (en) | 2012-05-15 | 2013-11-12 | Algebraix Data Corporation | Systems and methods for indirect algebraic partitioning |
US10430190B2 (en) | 2012-06-07 | 2019-10-01 | Micron Technology, Inc. | Systems and methods for selectively controlling multithreaded execution of executable code segments |
US9177646B2 (en) | 2013-05-06 | 2015-11-03 | International Business Machines Corporation | Implementing computational memory from content-addressable memory |
US10741226B2 (en) | 2013-05-28 | 2020-08-11 | Fg Src Llc | Multi-processor computer architecture incorporating distributed multi-ported common memory modules |
CN103973581B (en) | 2014-05-08 | 2017-04-12 | 华为技术有限公司 | Method, device and system for processing message data |
US9530483B2 (en) | 2014-05-27 | 2016-12-27 | Src Labs, Llc | System and method for retaining dram data when reprogramming reconfigurable devices with DRAM memory controllers incorporating a data maintenance block colocated with a memory module or subsystem |
US9153311B1 (en) | 2014-05-27 | 2015-10-06 | SRC Computers, LLC | System and method for retaining DRAM data when reprogramming reconfigurable devices with DRAM memory controllers |
US11061853B2 (en) * | 2015-12-08 | 2021-07-13 | Via Alliance Semiconductor Co., Ltd. | Processor with memory controller including dynamically programmable functional unit |
CN107656880B (en) * | 2016-10-28 | 2020-12-15 | 上海兆芯集成电路有限公司 | Processor having memory controller with dynamically programmable functional units |
US10599590B2 (en) | 2016-11-30 | 2020-03-24 | International Business Machines Corporation | Uniform memory access architecture |
CN106649157B (en) * | 2016-12-16 | 2019-10-11 | 广东威创视讯科技股份有限公司 | SDRAM control system based on FPGA |
US11099936B2 (en) * | 2018-09-11 | 2021-08-24 | Embraer S.A. | Aircraft integrated multi system electronic architecture |
CN115145642A (en) * | 2022-06-14 | 2022-10-04 | 杭州未名信科科技有限公司 | Software starting method and system |
Family Cites Families (30)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPS59206972A (en) * | 1983-05-10 | 1984-11-22 | Toshiba Corp | Shared memory |
JPS60189561A (en) * | 1984-03-09 | 1985-09-27 | Panafacom Ltd | Memory access control system |
US4763294A (en) * | 1985-12-19 | 1988-08-09 | Wang Laboratories, Inc. | Method and apparatus for floating point operations |
JPH0821087B2 (en) * | 1986-09-30 | 1996-03-04 | 日本電信電話株式会社 | Three-dimensional shadow image generation processing method |
JP2533162B2 (en) * | 1988-05-13 | 1996-09-11 | 富士通株式会社 | Multiprocessor system |
EP0605401B1 (en) * | 1988-09-19 | 1998-04-22 | Fujitsu Limited | Parallel computer system using a SIMD method |
JP2772304B2 (en) * | 1992-04-10 | 1998-07-02 | 富士通株式会社 | Load balancing method for parallel processing |
US5802290A (en) * | 1992-07-29 | 1998-09-01 | Virtual Computer Corporation | Computer network of distributed virtual computers which are EAC reconfigurable in response to instruction to be executed |
US5509134A (en) * | 1993-06-30 | 1996-04-16 | Intel Corporation | Method and apparatus for execution of operations in a flash memory array |
JPH07154241A (en) * | 1993-11-29 | 1995-06-16 | Olympus Optical Co Ltd | Electronic circuit using programmable integrated circuit |
JPH07282023A (en) * | 1994-04-06 | 1995-10-27 | Hitachi Ltd | Data transfer amount variable processor and system using the same |
JPH0869447A (en) * | 1994-08-31 | 1996-03-12 | Toshiba Corp | Data processor |
US6052773A (en) | 1995-02-10 | 2000-04-18 | Massachusetts Institute Of Technology | DPGA-coupled microprocessors |
US5570040A (en) * | 1995-03-22 | 1996-10-29 | Altera Corporation | Programmable logic array integrated circuit incorporating a first-in first-out memory |
JP2883035B2 (en) * | 1995-04-12 | 1999-04-19 | 松下電器産業株式会社 | Pipeline processor |
US5903771A (en) | 1996-01-16 | 1999-05-11 | Alacron, Inc. | Scalable multi-processor architecture for SIMD and MIMD operations |
US5737766A (en) * | 1996-02-14 | 1998-04-07 | Hewlett Packard Company | Programmable gate array configuration memory which allows sharing with user memory |
JP3673315B2 (en) * | 1996-03-01 | 2005-07-20 | 常雄 山本 | Personal care equipment for bedridden patients, etc. |
US5892962A (en) * | 1996-11-12 | 1999-04-06 | Lucent Technologies Inc. | FPGA-based processor |
US5953502A (en) * | 1997-02-13 | 1999-09-14 | Helbig, Sr.; Walter A | Method and apparatus for enhancing computer system security |
JPH1115773A (en) * | 1997-06-24 | 1999-01-22 | Matsushita Electron Corp | Semiconductor integrated circuit, computer system, data processor and data processing method |
KR100301036B1 (en) * | 1997-06-26 | 2001-09-03 | 윤종용 | Synchronous memory device including a control portion for reducing current consumption of data in/out mask input buffer |
US5966534A (en) * | 1997-06-27 | 1999-10-12 | Cooke; Laurence H. | Method for compiling high level programming languages into an integrated processor with reconfigurable logic |
US6076152A (en) * | 1997-12-17 | 2000-06-13 | Src Computers, Inc. | Multiprocessor computer architecture incorporating a plurality of memory algorithm processors in the memory subsystem |
US5968534A (en) * | 1998-03-04 | 1999-10-19 | Campbell; John | Compound for the amelioration of pseudofollicultis |
DE19815323C2 (en) * | 1998-04-06 | 2000-06-15 | Clariant Gmbh | Process for the preparation of isochroman-3-ones |
US6192439B1 (en) | 1998-08-11 | 2001-02-20 | Hewlett-Packard Company | PCI-compliant interrupt steering architecture |
KR100731371B1 (en) * | 1999-02-15 | 2007-06-21 | 코닌클리즈케 필립스 일렉트로닉스 엔.브이. | Data processor with a configurable functional unit and method using such a data processor |
GB2352548B (en) * | 1999-07-26 | 2001-06-06 | Sun Microsystems Inc | Method and apparatus for executing standard functions in a computer system |
AT410575B (en) * | 2001-04-05 | 2003-06-25 | Jenbacher Ag | DEVICE FOR IGNITING A FUEL AIR MIXTURE |
-
1997
- 1997-12-17 US US08/992,763 patent/US6076152A/en not_active Expired - Lifetime
-
1998
- 1998-12-03 WO PCT/US1998/025587 patent/WO1999031617A2/en active Application Filing
- 1998-12-03 CA CA002313462A patent/CA2313462C/en not_active Expired - Lifetime
- 1998-12-03 EP EP98963778.0A patent/EP1038253B1/en not_active Expired - Lifetime
- 1998-12-03 JP JP2000539441A patent/JP4921638B2/en not_active Expired - Lifetime
-
2000
- 2000-01-12 US US09/481,902 patent/US6247110B1/en not_active Expired - Lifetime
-
2001
- 2001-01-05 US US09/755,744 patent/US20010014937A1/en not_active Abandoned
-
2003
- 2003-01-08 US US10/339,133 patent/US6961841B2/en not_active Expired - Lifetime
-
2004
- 2004-10-20 US US10/969,635 patent/US7237091B2/en not_active Expired - Fee Related
-
2009
- 2009-11-27 JP JP2009270774A patent/JP5364543B2/en not_active Expired - Lifetime
Cited By (27)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7987341B2 (en) | 2002-10-31 | 2011-07-26 | Lockheed Martin Corporation | Computing machine using software objects for transferring data that includes no destination information |
US20040181621A1 (en) * | 2002-10-31 | 2004-09-16 | Lockheed Martin Corporation | Computing machine having improved computing architecture and related system and method |
US7373432B2 (en) | 2002-10-31 | 2008-05-13 | Lockheed Martin | Programmable circuit and related computing machine and method |
US20080222337A1 (en) * | 2002-10-31 | 2008-09-11 | Lockheed Martin Corporation | Pipeline accelerator having multiple pipeline units and related computing machine and method |
US8250341B2 (en) | 2002-10-31 | 2012-08-21 | Lockheed Martin Corporation | Pipeline accelerator having multiple pipeline units and related computing machine and method |
WO2004042569A3 (en) * | 2002-10-31 | 2006-04-27 | Lockheed Corp | Programmable circuit and related computing machine and method |
US20040136241A1 (en) * | 2002-10-31 | 2004-07-15 | Lockheed Martin Corporation | Pipeline accelerator for improved computing architecture and related system and method |
WO2004042569A2 (en) * | 2002-10-31 | 2004-05-21 | Lockheed Martin Corporation | Programmable circuit and related computing machine and method |
US8073974B2 (en) | 2004-10-01 | 2011-12-06 | Lockheed Martin Corporation | Object oriented mission framework and system and method |
US7487302B2 (en) | 2004-10-01 | 2009-02-03 | Lockheed Martin Corporation | Service layer architecture for memory access system and method |
US20060149920A1 (en) * | 2004-10-01 | 2006-07-06 | John Rapp | Object oriented mission framework and system and method |
US20060230377A1 (en) * | 2004-10-01 | 2006-10-12 | Lockheed Martin Corporation | Computer-based tool and method for designing an electronic circuit and related system |
US20060101250A1 (en) * | 2004-10-01 | 2006-05-11 | Lockheed Martin Corporation | Configurable computing machine and related systems and methods |
US20060085781A1 (en) * | 2004-10-01 | 2006-04-20 | Lockheed Martin Corporation | Library for computer-based tool and related system and method |
US20060123282A1 (en) * | 2004-10-01 | 2006-06-08 | Gouldey Brent I | Service layer architecture for memory access system and method |
US7619541B2 (en) | 2004-10-01 | 2009-11-17 | Lockheed Martin Corporation | Remote sensor processing system and method |
US7676649B2 (en) | 2004-10-01 | 2010-03-09 | Lockheed Martin Corporation | Computing machine with redundancy and related systems and methods |
US7809982B2 (en) | 2004-10-01 | 2010-10-05 | Lockheed Martin Corporation | Reconfigurable computing machine and related systems and methods |
US20060101253A1 (en) * | 2004-10-01 | 2006-05-11 | Lockheed Martin Corporation | Computing machine with redundancy and related systems and methods |
US20060101307A1 (en) * | 2004-10-01 | 2006-05-11 | Lockheed Martin Corporation | Reconfigurable computing machine and related systems and methods |
US20060087450A1 (en) * | 2004-10-01 | 2006-04-27 | Schulz Kenneth R | Remote sensor processing system and method |
US20160313725A1 (en) * | 2014-01-17 | 2016-10-27 | Chongqing University | A dynamically configurable intelligent controller and control method for machine tools based on dsp/fpga |
US10078323B2 (en) * | 2014-01-17 | 2018-09-18 | Chongqing University | Dynamically configurable intelligent controller and control method for machine tools based on DSP/FPGA |
US9411528B1 (en) | 2015-04-22 | 2016-08-09 | Ryft Systems, Inc. | Storage management systems and methods |
US9411613B1 (en) | 2015-04-22 | 2016-08-09 | Ryft Systems, Inc. | Systems and methods for managing execution of specialized processors |
US9542244B2 (en) | 2015-04-22 | 2017-01-10 | Ryft Systems, Inc. | Systems and methods for performing primitive tasks using specialized processors |
CN111673767A (en) * | 2020-06-23 | 2020-09-18 | 浪潮集团有限公司 | Robot data security protection co-processing method and system |
Also Published As
Publication number | Publication date |
---|---|
EP1038253B1 (en) | 2016-03-09 |
US6247110B1 (en) | 2001-06-12 |
EP1038253A2 (en) | 2000-09-27 |
JP2010102719A (en) | 2010-05-06 |
JP5364543B2 (en) | 2013-12-11 |
US6961841B2 (en) | 2005-11-01 |
US7237091B2 (en) | 2007-06-26 |
US6076152A (en) | 2000-06-13 |
JP4921638B2 (en) | 2012-04-25 |
JP2002509302A (en) | 2002-03-26 |
WO1999031617A3 (en) | 1999-08-26 |
EP1038253A4 (en) | 2007-11-28 |
CA2313462A1 (en) | 1999-06-24 |
US20030097187A1 (en) | 2003-05-22 |
CA2313462C (en) | 2006-07-18 |
US20050055537A1 (en) | 2005-03-10 |
WO1999031617A2 (en) | 1999-06-24 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US6076152A (en) | Multiprocessor computer architecture incorporating a plurality of memory algorithm processors in the memory subsystem | |
AU2001245761B2 (en) | Enhanced memory algorithmic processor architecture for multiprocessor computer systems | |
US7421524B2 (en) | Switch/network adapter port for clustered computers employing a chain of multi-adaptive processors in a dual in-line memory module format | |
US7926060B2 (en) | iMEM reconfigurable architecture | |
US8745631B2 (en) | Intelligent memory device with ASCII registers | |
AU2001245761A1 (en) | Enhanced memory algorithmic processor architecture for multiprocessor computer systems | |
JP2004537106A (en) | System and method for a web server using a reconfigurable processor operating under a single operating system image | |
US7908603B2 (en) | Intelligent memory with multitask controller and memory partitions storing task state information for processing tasks interfaced from host processor | |
US7882504B2 (en) | Intelligent memory device with wakeup feature | |
US7594232B2 (en) | Intelligent memory device for processing tasks stored in memory or for storing data in said memory | |
CA2515283C (en) | Multiprocessor computer architecture incorporating a plurality of memory algorithm processors in the memory subsystem | |
CN115777097A (en) | Clearing register data | |
AU2002356010A1 (en) | Switch/network adapter port for clustered computers employing a chain of multi-adaptive processors in a dual in-line memory module format |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
STCB | Information on status: application discontinuation |
Free format text: ABANDONED -- FAILURE TO RESPOND TO AN OFFICE ACTION |