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Method and apparatus for performing group instructions

USPTO Application #: 20080104376
Title: Method and apparatus for performing group instructions
Abstract: Systems and apparatuses are presented relating a programmable processor comprising an execution unit that is operable to decode and execute instructions received from an instruction path and partition data stored in registers in the register file into multiple data elements, the execution unit capable of executing a plurality of different group floating-point and group integer arithmetic operations that each arithmetically operates on multiple data elements stored registers in a register file to produce a catenated result that is returned to a register in the register file, wherein the catenated result comprises a plurality of individual results, wherein the execution unit is capable of executing group data handling operations that re-arrange data elements in different ways in response to data handling instructions. (end of abstract)
Agent: Townsend And Townsend And Crew, LLP - San Francisco, CA, US
Inventors: Craig Hansen, John Moussouris
USPTO Applicaton #: 20080104376 - Class: 712222000 (USPTO)
Related Patent Categories: Electrical Computers And Digital Processing Systems: Processing Architectures And Instruction Processing (e.g., Processors), Processing Control, Arithmetic Operation Instruction Processing, Floating Point Or Vector
The Patent Description & Claims data below is from USPTO Patent Application 20080104376.
Brief Patent Description - Full Patent Description - Patent Application Claims  monitor keywords

CROSS-REFERENCES TO RELATED APPLICATIONS

[0001] This application is a continuation of U.S. patent application Ser. No. 10/436,340, filed May 13, 2003, which is a continuation of U.S. patent application Ser. No. 09/534,745, filed Mar. 24, 2000, now U.S. Pat. No. 6,643,765, which is a continuation of U.S. patent application Ser. No. 09/382,402, filed Aug. 24, 1999, now U.S. Pat. No. 6,295,599, and which is a continuation-in-part of U.S. patent application Ser. No. 09/169,963, filed Oct. 13, 1998, now U.S. Pat. No. 6,006,318, which is a continuation of U.S. patent application Ser. No. 08/754,827, filed Nov. 22, 1996, now U.S. Pat. No. 5,822,603, which is a division of U.S. patent application Ser. No. 08/516,036, filed Aug. 16, 1995, now U.S. Pat. No. 5,742,840.

[0002] This application is a continuation of U.S. patent application Ser. No. 11/511,466, filed Aug. 29, 2006, which is a continuation of U.S. patent application Ser. No. 10/646,787, filed Aug. 25, 2003, now U.S. Pat. No. 7,216,217, which is a continuation of U.S. patent application Ser. No. 09/922,319, filed Aug. 2, 2001, which is a continuation of U.S. patent application Ser. No. 09/382,402, filed Aug. 24, 1999, now U.S. Pat. No. 6,295,599, which claims the benefit of priority to Provisional Application No. 60/097,635 filed Aug. 24, 1998, and is a continuation-in-part of U.S. patent application Ser. No. 09/169,963, filed Oct. 13, 1998, now U.S. Pat. No. 6,006,318, which is a continuation of U.S. patent application Ser. No. 08/754,827, filed Nov. 22, 1996 now U.S. Pat. No. 5,822,603, which is a divisional of U.S. patent application Ser. No. 08/516,036, filed Aug. 16, 1995 now U.S. Pat. No. 5,742,840.

[0003] The contents of all the U.S. patent applications and provisional applications listed above are hereby incorporated by reference including their appendices in their entirety.

FIELD OF THE INVENTION

[0004] The present invention relates to general purpose processor architectures, and particularly relates to general purpose processor architectures capable of executing group operations.

BACKGROUND OF THE INVENTION

[0005] The performance level of a processor, and particularly a general purpose processor, can be estimated from the multiple of a plurality of interdependent factors: clock rate, gates per clock, number of operands, operand and data path width, and operand and data path partitioning. Clock rate is largely influenced by the choice of circuit and logic technology, but is also influenced by the number of gates per clock. Gates per clock is how many gates in a pipeline may change state in a single clock cycle. This can be reduced by inserting latches into the data path: when the number of gates between latches is reduced, a higher clock is possible. However, the additional latches produce a longer pipeline length, and thus come at a cost of increased instruction latency. The number of operands is straightforward; for example, by adding with carry-save techniques, three values may be added together with little more delay than is required for adding two values. Operand and data path width defines how much data can be processed at once; wider data paths can perform more complex functions, but generally this comes at a higher implementation cost. Operand and data path partitioning refers to the efficient use of the data path as width is increased, with the objective of maintaining substantially peak usage.

SUMMARY OF THE INVENTION

[0006] Embodiments of the invention pertain to systems and methods for enhancing the utilization of a general purpose processor by adding classes of instructions. These classes of instructions use the contents of general purpose registers as data path sources, partition the operands into symbols of a specified size, perform operations in parallel, catenate the results and place the catenated results into a general-purpose register. Some embodiments of the invention relate to a general purpose microprocessor which has been optimized for processing and transmitting media data streams through significant parallelism.

[0007] Some embodiments of the present invention provide a system and method for improving the performance of general purpose processors by including the capability to execute group operations involving multiple floating-point operands. In one embodiment, a programmable media processor comprises a virtual memory addressing unit, a data path, a register file comprising a plurality of registers coupled to the data path, and an execution unit coupled to the data path capable of executing group-floating point operations in which multiple floating-point operations stored in partitioned fields of one or more of the plurality of registers are operated on to produce catenated results. The group floating-point operations may involve operating on at least two of the multiple floating-point operands in parallel. The catenated results may be returned to a register, and general purpose registers may used as operand and result registers for the floating-point operations. In some embodiments the execution unit may also be capable of performing group floating-point operations on floating-point data of more than one precision. In some embodiments the group floating-point operations may include group add, group subtract, group compare, group multiply and group divide arithmetic operations that operate on catenated floating-point data. In some embodiments, the group floating-point operations may include group multiply-add, group scale-add, and group set operations that operate on catenated floating-point data.

[0008] In one embodiment, the execution unit is also capable of executing group integer instructions involving multiple integer operands stored in partitioned fields of registers. The group integer operations may involve operating on at least two of the multiple integer operands in parallel. The group integer operations may include group add, group subtract, group compare, and group multiply arithmetic operations that operate on catenated integer data.

[0009] In one embodiment, the execution unit is capable of performing group data handling operations, including operations that copy, operations that shift, operations that rearrange and operations that resize catenated integer data stored in a register and return catenated results. The execution unit may also be configurable to perform group data handling operations on integer data having a symbol width of 8 bits, group data handling operations on integer data having a symbol width of 16 bits, and group data handling operations on integer data having a symbol width of 32 bits. In one embodiment, the operations are controlled by values in a register operand. In one embodiment, the operations are controlled by values in the instruction.

[0010] In one embodiment, the multi-precision execution unit is capable of executing a Galois field instruction operation.

[0011] In one embodiment, the multi-precision execution unit is configurable to execute a plurality of instruction streams in parallel from a plurality of threads, and the programmable media processor further comprises a register file associated with each thread executing in parallel on the multi-precision execution unit to support processing of the plurality of threads. In some embodiments, the multi-precision execution unit executes instructions from the plurality of instruction streams in a round-robin manner. In some embodiments, the processor ensures only one thread from the plurality of threads can handle an exception at any given time.

[0012] Some embodiments of the present invention provide a multiplier array that is fully used for high precision arithmetic, but is only partly used for other, lower precision operations. This can be accomplished by extracting the high-order portion of the multiplier product or sum of products, adjusted by a dynamic shift amount from a general register or an adjustment specified as part of the instruction, and rounded by a control value from a register or instruction portion. The rounding may be any of several types, including round-to-nearest/even; toward zero, floor, or ceiling. Overflows are typically handled by limiting the result to the largest and smallest values that can be accurately represented in the output result.

[0013] When an extract is controlled by a register, the size of the result can be specified, allowing rounding and limiting to a smaller number of bits than can fit in the result. This permits the result to be scaled for use in subsequent operations without concern of overflow or rounding. As a result, performance is enhanced. In those instances where the extract is controlled by a register, a single register value defines the size of the operands, the shift amount and size of the result, and the rounding control. By placing such control information in a single register, the size of the instruction is reduced over the number of bits that such an instruction would otherwise require, again improving performance and enhancing processor flexibility. Exemplary instructions are Ensemble Convolve Extract, Ensemble Multiply Extract, Ensemble Multiply Add Extract, and Ensemble Scale Add Extract. With particular regard to the Ensemble Scale Add Extract Instruction, the extract control information is combined in a register with two values used as scalar multipliers to the contents of two vector multiplicands. This combination reduces the number of registers otherwise required, thus reducing the number of bits required for the instruction.

[0014] In one embodiment, the processor performs load and store instructions operable to move values between registers and memory. In one embodiment, the processor performs both instructions that verify alignment of memory operands and instructions that permit memory operands to be unaligned. In one embodiment, the processor performs store multiplex instructions operable to move to memory a portion of data contents controlled by a corresponding mask contents. In one embodiment, this masked storage operation is performed by indivisibly reading-modifying-writing a memory operand.

[0015] In one embodiment, all processor, memory and interface resources are directly accessible to high-level language programs. In one embodiment, assembler codes and high-level language formats are specified to access enhanced instructions. In one embodiment interface and system state is memory mapped, so that it can be manipulated by compiled code. In one embodiment, software libraries provide other operations required by the ANSI/IEEE floating-point standard. In one embodiment, software conventions are employed at software module boundaries, in order to permit the combination of separately compiled code and to provide standard interfaces between application, library and system software. In one embodiment, instruction scheduling is performed by a compiler.

BRIEF DESCRIPTION OF THE DRAWINGS

[0016] FIG. 1 is a system level diagram showing the functional blocks of a system according to the present invention.

[0017] FIG. 2 is a matrix representation of a wide matrix multiply in accordance with one embodiment of the present invention.

[0018] FIG. 3 is a further representation of a wide matrix multiple in accordance with one embodiment of the present invention.

[0019] FIG. 4 is a system level diagram showing the functional blocks of a system incorporating a combined Simultaneous Multi Threading and Decoupled Access from Execution processor in accordance with one embodiment of the present invention.

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Programmable processor and method with wide operations
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Electrical computers and digital processing systems: processing architectures and instruction processing (e.g., processors)

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