欢迎访问行业研究报告数据库

行业分类

当前位置:首页 > 报告详细信息

找到报告 1 篇 当前为第 1 页 共 1

强大的矩阵乘法算法和扩展Memory-Independent沟通下界

Strong Scaling of Matrix Multiplication Algorithms and Memory-Independent Communication Lower Bounds

作者:Grey Ballard James Demmel Olga Holtz Benjamin Lipshitz Oded Schwartz 加工时间:2013-12-30 信息来源:EECS 索取原文[5 页]
关键词:处理器;快速矩阵乘法;通信成本
摘 要:A parallel algorithm has perfect strong scaling if its running time on P processors is linear in 1=P, including all commu-nication costs. Distributed-memory parallel algorithms for matrix multiplication with perfect strong scaling have only recently been found. One is based on classical matrix multi-plication (Solomonik and Demmel, 2011), and one is based on Strassen's fast matrix multiplication (Ballard, Demmel, Holtz, Lipshitz, and Schwartz, 2012). Both algorithms scale perfectly, but only up to some number of processors where the inter-processor communication no longer scales.
© 2016 武汉世讯达文化传播有限责任公司 版权所有 技术支持:武汉中网维优
客服中心

QQ咨询


点击这里给我发消息 客服员


电话咨询


027-87841330


微信公众号




展开客服