Key concepts for parallel out-of-core LU factorization

被引:15
|
作者
Dongarra, JJ [1 ]
Hammarling, S
Walker, DW
机构
[1] Univ Tennessee, Dept Comp Sci, Knoxville, TN 37996 USA
[2] NAG Ltd, Oxford OX2 8DR, England
[3] Oak Ridge Natl Lab, Math Sci Sect, Oak Ridge, TN 37831 USA
关键词
out-of-core LU factorization; dense matrices; parallel computing; performance;
D O I
10.1016/S0898-1221(98)00029-7
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This paper considers key ideas in the design of out-of-core dense LU factorization routines. A left-looking variant of the LU factorization algorithm is shown to require less I/O to disk than the right-looking variant, and is used to develop a parallel, out-of-core implementation. This implementation makes use of a small library of parallel I/O routines, together with ScaLAPACK and PBLAS routines. Results for runs on an Intel Paragon are presented and interpreted using a simple performance model.
引用
收藏
页码:13 / 31
页数:19
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