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Systems and methods for converting a matrix input to a vectorized input for a matrix processor

机译:用于将矩阵输入转换为矩阵处理器的矢量化输入的系统和方法

摘要

Presented are systems and methods that accelerate the convolution of an image and similar arithmetic operations by utilizing hardware-specific circuitry that enables a large number of operations to be performed in parallel across a large set of data. In various embodiments, arithmetic operations are further enhanced by reusing data and eliminating redundant steps of storing and fetching intermediate results from registers and memory when performing arithmetic operations.
机译:提出了通过利用硬件专用电路来加速图像和类似算术运算的卷积的系统和方法,所述硬件专用电路使得能够跨一大组数据并行执行大量操作。在各种实施例中,当执行算术运算时,通过重用数据并消除存储和从寄存器和存储器获取中间结果的冗余步骤,进一步增强了算术运算。

著录项

  • 公开/公告号US10747844B2

    专利类型

  • 公开/公告日2020-08-18

    原文格式PDF

  • 申请/专利权人 TESLA INC.;

    申请/专利号US201715839234

  • 申请日2017-12-12

  • 分类号G06F17/16;G06F17/15;G06F12/0875;G06T5/10;G06F9;

  • 国家 US

  • 入库时间 2022-08-21 11:31:13

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