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    • 3. 发明公开
    • DECODING METHOD, PROCESSOR, CHIP, AND ELECTRONIC DEVICE
    • EP4425327A1
    • 2024-09-04
    • EP23884011.0
    • 2023-02-27
    • Hygon Information Technology Co., Ltd.
    • CUI, Zehan
    • G06F9/38
    • Y02D10/00
    • Embodiments of the present disclosure provide a decoding method, a processor, a chip, and an electronic device. The method comprises: generating an instruction fetch request carrying at least one switching mark, the switching mark at least indicating an instruction position for decoder group switching; in response to micro-ops obtained from decoding by decoder groups, acquiring an instruction stream fetched by means of the instruction fetch request, and according to the switching mark carried in the instruction fetch request, determining the instruction position for decoder group switching; according to the instruction position, distributing the instruction stream to multiple decoder groups for parallel decoding, and carrying a switching mark in a target micro-op obtained by decoding a target instruction, the target instruction being an instruction corresponding to the instruction position; and in response to searching a micro-op cache for micro-ops, if the instruction fetch request is hit in the micro-op cache, acquiring a corresponding micro-op from the micro-op cache. The embodiments of the present disclosure can improve the decoding performance of a processor.
    • 4. 发明公开
    • DATA PROCESSING METHOD AND APPARATUS, AND ELECTRONIC DEVICE AND STORAGE MEDIUM
    • EP4421660A1
    • 2024-08-28
    • EP23889857.1
    • 2023-09-14
    • Hygon Information Technology Co., Ltd.
    • HAN, Jie
    • G06F17/16
    • G06F17/16G06F9/448
    • A data processing method and apparatus, an electronic device, and a storage medium are disclosed, and the data processing method includes: acquiring input matrix data, in which the input matrix data is a symmetric tridiagonal matrix; performing one or more matrix splits on the input matrix data to obtain a plurality of pieces of leaf node data; performing parallel computation on the plurality of pieces of leaf node data, to obtain a feature parameter of each piece of leaf node data among the plurality of pieces of leaf node data; performing at least one merge on the plurality of pieces of leaf node data, based on the feature parameter of the each piece of leaf node data, to obtain merged data; and performing feature solving on the input matrix data based on the merged data, to obtain a feature parameter of the input matrix data. The data processing method improves a resource invocation and utilization mode of a processor apparatus, which can fully invoke the resources of the processor apparatus for computing the plurality of pieces of leaf node data in a parallel manner, thereby alleviating the resource idle problem in the processor apparatus, and improving the computational efficiency of feature solving of the symmetric tridiagonal matrix in the processor apparatus.