Invention Grant
- Patent Title: Parallel processor optimized for machine learning
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Application No.: US17370995Application Date: 2021-07-08
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Publication No.: US11586580B2Publication Date: 2023-02-21
- Inventor: Friederich Jean-Baptiste Mombers
- Applicant: Avago Technologies International Sales Pte. Limited
- Applicant Address: SG Singapore
- Assignee: Avago Technologies International Sales Pte. Limited
- Current Assignee: Avago Technologies International Sales Pte. Limited
- Current Assignee Address: SG Singapore
- Agency: BakerHostetler
- Main IPC: G06F15/80
- IPC: G06F15/80 ; G06N20/00 ; G06F7/57 ; G06F12/0842

Abstract:
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.
Public/Granted literature
- US20230008138A1 PARALLEL PROCESSOR OPTIMIZED FOR MACHINE LEARNING Public/Granted day:2023-01-12
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