Performance modeling: Understanding the past and predicting the future

被引：0
|
作者：
Bailey, DH
Snavely, A
机构：
[1] Lawrence Berkeley Natl Lab, Berkeley, CA 94720 USA
[2] Univ Calif San Diego, La Jolla, CA 92093 USA
来源：
EURO-PAR 2005 PARALLEL PROCESSING, PROCEEDINGS | 2005年 / 3648卷
关键词：
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
We present an overview of current research in performance modeling, focusing on efforts underway in the Performance Evaluation Research Center (PERC). Using some new techniques, we are able to construct performance models that can be used to project the sustained performance of large-scale scientific programs on different systems, over a range of job and system sizes. Such models can be used by vendors in system designs, by computing centers in system acquisitions, and by application scientists to improve the performance of their codes.
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页码：185 / 195
页数：11
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