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Adaptive tile matrix representation and multiplication

机译:自适应瓦片矩阵表示和乘法

摘要

According to some embodiments, matrix A data may be loaded into a temporary, unordered starting representation that contains coordinates and values for each element of matrix A. Z-curve ordering of matrix A may be performed to create a two-dimensional density map of matrix A by counting matrix elements that are contained in logical two-dimensional block cells of a given size. A quad-tree recursion may be executed on the two-dimensional density map structure in reduced Z-space to identify areas of different densities in the two dimensional matrix space. An adaptive tile matrix representation of input matrix A may then be created. According to some embodiments, an adaptive tile matrix multiplication operation may perform dynamic tile-granular optimization based on density estimates and a cost model.
机译:根据一些实施例,矩阵A数据可以被加载到包含矩阵A的每个元素的坐标和值的临时的,无序的起始表示中。可以执行矩阵A的Z曲线排序以创建矩阵的二维密度图。通过对包含在给定大小的逻辑二维块单元中的矩阵元素进行计数。可以在缩小的Z空间中的二维密度图结构上执行四叉树递归,以识别二维矩阵空间中不同密度的区域。然后可以创建输入矩阵A的自适应瓦片矩阵表示。根据一些实施例,自适应瓦片矩阵乘法操作可以基于密度估计和成本模型来执行动态瓦片粒度优化。

著录项

  • 公开/公告号US10061748B2

    专利类型

  • 公开/公告日2018-08-28

    原文格式PDF

  • 申请/专利权人 SAP SE;

    申请/专利号US201514966860

  • 申请日2015-12-11

  • 分类号G06F17/16;

  • 国家 US

  • 入库时间 2022-08-21 13:03:09

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