Implementing data flows of an application across a memory hierarchy of a data processing array

    公开(公告)号:US12159057B2

    公开(公告)日:2024-12-03

    申请号:US17934153

    申请日:2022-09-21

    Applicant: Xilinx, Inc.

    Abstract: Implementing data flows of an application across a memory hierarchy of a data processing array includes receiving a data flow graph specifying an application for execution on the data processing array. A plurality of buffer objects corresponding to a plurality of different levels of the memory hierarchy of the data processing array and an external memory are identified. The plurality of buffer objects specify data flows. Buffer object parameters are determined. The buffer object parameters define properties of the data flows. Data that configures the data processing array to implement the data flows among the plurality of different levels of the memory hierarchy and the external memory is generated based on the plurality of buffer objects and the buffer object parameters.

    Modeling and compiling tensor processing applications for a computing platform using multi-layer adaptive data flow graphs

    公开(公告)号:US12135990B2

    公开(公告)日:2024-11-05

    申请号:US18091907

    申请日:2022-12-30

    Applicant: XILINX, INC.

    Abstract: Modeling and compiling tensor processing applications using multi-layer adaptive data flow (ML-ADF) graphs, including folding the ML-ADF graph for temporal sharing of platform resources, computing schedules for runtime orchestration of kernel execution, memory reuse, tensor and sub-volume movement, and dataflow synchronization, and generating binary code for processors of the target computing platform and re-targetable controller code. The ML-ADF graph may represent: tensor processing of a layer of a neural network as data flow through the data nodes and distribution to compute tiles across memory hierarchy; data flow amongst layers of the neural network using connections amongst data nodes of the respective layers; and multi-dimension data partitioning and distribution using tiling parameters associated with ports of the data nodes.

    IMPLEMENTING DATA FLOWS OF AN APPLICATION ACROSS A MEMORY HIERARCHY OF A DATA PROCESSING ARRAY

    公开(公告)号:US20240094944A1

    公开(公告)日:2024-03-21

    申请号:US17934153

    申请日:2022-09-21

    Applicant: Xilinx, Inc.

    CPC classification number: G06F3/0656 G06F3/0622 G06F3/0683

    Abstract: Implementing data flows of an application across a memory hierarchy of a data processing array includes receiving a data flow graph specifying an application for execution on the data processing array. A plurality of buffer objects corresponding to a plurality of different levels of the memory hierarchy of the data processing array and an external memory are identified. The plurality of buffer objects specify data flows. Buffer object parameters are determined. The buffer object parameters define properties of the data flows. Data that configures the data processing array to implement the data flows among the plurality of different levels of the memory hierarchy and the external memory is generated based on the plurality of buffer objects and the buffer object parameters.

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