Performance Modeling: Understanding the Past and Predicting the Future

机译：绩效建模：了解过去并预测未来

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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.

机译：我们对绩效建模的当前研究进行了概述，重点是绩效评估研究中心（PERC）正在进行的工作。通过使用一些新技术，我们能够构建性能模型，该模型可用于预测大型科学程序在不同系统上，在一系列工作和系统规模上的持续性能。供应商可以在系统设计中使用此类模型，计算中心可以在系统采购中使用此类模型，应用科学家可以使用此类模型来提高其代码的性能。

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来源
《International Euro-Par Parallel Processing Conference; 20050830-0902; Lisbon(PT)》|2005年|P.185-195|共11页
会议地点 Lisbon(PT)
作者
David H. Bailey; Allan Snavely;
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作者单位

Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720;

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原文格式 PDF
正文语种 eng
中图分类计算机软件;理论、方法;
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机译：绩效建模：了解过去并预测未来

Performance Modeling: Understanding the Past and Predicting the Future

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