Empirical modelling of parallel linear algebra routines

被引：0
|
作者：
Cuenca, J [1 ]
García, LP
Giménez, D
González, J
Vidal, A
机构：
[1] Univ Murcia, Dept Ingn & Tecnol Computadores, E-30001 Murcia, Spain
[2] Univ Politecn Cartagena, Serv Apoya Invest Tecnol, Murcia 30203, Spain
[3] Univ Murcia, Dept Informat & Sist, E-30001 Murcia, Spain
[4] Intel Barcelona Res Ctr Intel Labs, Barcelona, Spain
[5] Univ Politecn Valencia, Dept Sist Informat & Computac, Valencia 46022, Spain
来源：
PARALLEL PROCESSING AND APPLIED MATHEMATICS | 2004年 / 3019卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper shows some ways of combining empirical studies with the theoretical modellization of parallel linear algebra routines. With this combination the accuracy of the model is improved, and the model can be used to take some decisions which facilitate the reduction of the execution time. Experiments with the QR and Cholesky factorizations are shown.
引用
收藏
页码：169 / 174
页数：6
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