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利用渐变数据布局的部分旋转实现通信有效的高斯消元

Communication Efficient Gaussian Elimination with Partial Pivoting using a Shape Morphing Data Layout
作者:Grey Ballard;James Demmel;Benjamin Lipshitz;Oded Schwartz;Sivan Toledo 作者单位:University of California at Berkeley;Tel-Aviv University 加工时间:2013-11-22 信息来源:EECS 索取原文[17 页]
关键词:数据布局;高斯消元;有效通信
摘 要:High performance for numerical linear algebra often comes at the expense of stability. Computing the LU decomposition of a matrix via Gaussian Elimination can be organized so that the computation involves regular and efficient data access. However, maintaining numerical stability via partial pivoting involves row interchanges that lead to inefficient data access patterns.
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