- 专利标题: Parallel processor optimized for machine learning
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申请号: US17370995申请日: 2021-07-08
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公开(公告)号: US11586580B2公开(公告)日: 2023-02-21
- 发明人: Friederich Jean-Baptiste Mombers
- 申请人: Avago Technologies International Sales Pte. Limited
- 申请人地址: SG Singapore
- 专利权人: Avago Technologies International Sales Pte. Limited
- 当前专利权人: Avago Technologies International Sales Pte. Limited
- 当前专利权人地址: SG Singapore
- 代理机构: BakerHostetler
- 主分类号: G06F15/80
- IPC分类号: G06F15/80 ; G06N20/00 ; G06F7/57 ; G06F12/0842
摘要:
A parallel processor system for machine learning includes an arithmetic unit (ALU) array including several ALUs and a controller to provide instructions for the ALUs. The system further includes a direct-access memory (DMA) block containing multiple DMA engines to access an external memory to retrieve data. An input-stream buffer decouples the DMA block from the ALU array and provides aligning and reordering of the retrieved data. The DMA engines operate in parallel and include rasterization logic capable of performing a three-dimensional (3-D) rasterization.
公开/授权文献
- US20230008138A1 PARALLEL PROCESSOR OPTIMIZED FOR MACHINE LEARNING 公开/授权日:2023-01-12
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