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High Performance Linear Algebra Algorithms: An Introduction

机译:高性能线性代数算法:简介

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This Mini-Symposium consisted of two back to back sessions, each consisting of five presentations, held on the afternoon of Monday, June 21, 2004. A major theme of both sessions was novel data structures for the matrices of dense linear algebra, DLA. Talks one to four of session one all centered on new data layouts of matrices. Cholesky factorization was considered in the first three talks and a contrast was made between a square block hybrid format, a recursive packed format and the two standard data structures of DLA, full and packed format. In both talks one and two, the first two new formats led to level three high performance implementations of Cholesky factorization while using exactly the same amount of storage that standard packed format required. Of course, full format requires twice the amount of storage of the other three formats.
机译:这次小型专题讨论会由两个背对背会议组成,每个会议由五次演讲组成,分别于2004年6月21日星期一下午举行。这两个会议的主题都是稠密线性代数矩阵DLA的新颖数据结构。第一节的第一至四节全部以矩阵的新数据布局为中心。在前三个演讲中考虑了Cholesky分解,并在方块混合格式(递归打包格式)和DLA的两个标准数据结构(完整格式和打包格式)之间进行了对比。在第一个和第二个讨论中,前两种新格式导致了Cholesky分解的三级高性能实现,同时使用的存储量与标准打包格式所需的存储量完全相同。当然,完整格式需要的存储量是其他三种格式的两倍。

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