SYSTOLIC ARRAY OF ARBITRARY PHYSICAL AND LOGICAL DEPTH

    公开(公告)号:US20220414053A1

    公开(公告)日:2022-12-29

    申请号:US17304678

    申请日:2021-06-24

    Abstract: A processing apparatus includes a processing resource including a general-purpose parallel processing engine and a matrix accelerator. The matrix accelerator includes first circuitry to receive a command to perform operations associated with an instruction, second circuitry to configure the matrix accelerator according to a physical depth of a systolic array within the matrix accelerator and a logical depth associated with the instruction, third circuitry to read operands for the instruction from a register file associated with the systolic array, fourth circuitry to perform operations for the instruction via one or more passes through one or more physical pipeline stages of the systolic array based on a configuration performed by the second circuitry, and fifth circuitry to write output of the operations to the register file associated with the systolic array.

    MULTIPLE REGISTER ALLOCATION SIZES FOR THREADS

    公开(公告)号:US20220413916A1

    公开(公告)日:2022-12-29

    申请号:US17358650

    申请日:2021-06-25

    Abstract: Provision of multiple register allocation sizes for threads is described. An example of a system includes one or more processors including a graphics processor, the graphics processor including at least a first local thread dispatcher (TDL) and multiple processing resources, each processing resource including a plurality of registers; and memory for storage of data for processing, wherein the one or more processors are to determine a register size for a first thread; identify one or more processing resources having sufficient register space for the first thread; select a processing resource of the one or more processing resources having sufficient register space to assign the first thread; select an available thread slot of the selected processing resource for the first thread; and allocate registers of the selected processing resource for the first thread.

    SUPPORTING 8-BIT FLOATING POINT FORMAT OPERANDS IN A COMPUTING ARCHITECTURE

    公开(公告)号:US20220318013A1

    公开(公告)日:2022-10-06

    申请号:US17212588

    申请日:2021-03-25

    Abstract: An apparatus to facilitate supporting 8-bit floating point format operands in a computing architecture is disclosed. The apparatus includes a processor comprising: a decoder to decode an instruction fetched for execution into a decoded instruction, wherein the decoded instruction is a matrix instruction that operates on 8-bit floating point operands to cause the processor to perform a parallel dot product operation; a controller to schedule the decoded instruction and provide input data for the 8-bit floating point operands in accordance with an 8-bit floating data format indicated by the decoded instruction; and systolic dot product circuitry to execute the decoded instruction using systolic layers, each systolic layer comprises one or more sets of interconnected multipliers, shifters, and adder, each set of multipliers, shifters, and adders to generate a dot product of the 8-bit floating point operands.

    Sparse matrix optimization mechanism

    公开(公告)号:US11443407B2

    公开(公告)日:2022-09-13

    申请号:US17465821

    申请日:2021-09-02

    Abstract: An apparatus to facilitate matrix processing is disclosed. The apparatus comprises a matrix accelerator to receive input matrix data, transform the input matrix data into a plurality of sub-blocks, examine a first block of the sub-blocks to determine whether the first block comprises sparse data, select a first tile size upon a determination that the first block comprises sparse data and generate output matrix data based on the first tile size.

    SPARSE MATRIX OPTIMIZATION MECHANISM

    公开(公告)号:US20220092723A1

    公开(公告)日:2022-03-24

    申请号:US17465821

    申请日:2021-09-02

    Abstract: An apparatus to facilitate matrix processing is disclosed. The apparatus comprises a matrix accelerator to receive input matrix data, transform the input matrix data into a plurality of sub-blocks, examine a first block of the sub-blocks to determine whether the first block comprises sparse data, select a first tile size upon a determination that the first block comprises sparse data and generate output matrix data based on the first tile size.

    COMPUTING EFFICIENT CROSS CHANNEL OPERATIONS IN PARALLEL COMPUTING MACHINES USING SYSTOLIC ARRAYS

    公开(公告)号:US20210365402A1

    公开(公告)日:2021-11-25

    申请号:US16900236

    申请日:2020-06-12

    Abstract: An apparatus to facilitate computing efficient cross channel operations in parallel computing machines using systolic arrays is disclosed. The apparatus includes a plurality of registers and one or more processing elements communicably coupled to the plurality of registers. The one or more processing elements include a systolic array circuit to perform cross-channel operations on source data received from a single source register of the plurality of registers, the systolic array circuit modified to receive inputs from the single source register and route elements of the single source register to multiple channels in the systolic array circuit.

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