计算机与现代化Issue(1)：14-17,21,5.DOI:10.3969/j.issn.1006-2475.2014.01.004
基于属性约简的MPI运行时参数优化
Opit mizationo f MPI Runtime Parameters Based on Attribute Reduction
朱炜 1王云岚2
作者信息
- 1. 西北工业大学计算机学院，陕西 西安 710129
- 2. 西北工业大学高性能计算中心，陕西 西安 710072
- 折叠
摘要
Abstract
Currently, MPI implementations provide hundreds of tunable runtime parameters , but the default parameters can not a-chieve ideal application performance .To provide the near-optimal runtime parameters for applications , attribute reduction in rough set theory is adopted to build an optimization model .First, the method generates values of parameters for different bench-marks through attribute reduction , then, predictes parameter values for unknown input application according to their features based on the model built .Experimental evaluations show the method proposed in this paper can predict values of parameters effec -tively, and achieve approximate 20%performance enhancement .关键词
粗糙集理论/优化模型/预测/RosettaKey words
rough set theory/optimization model/prediction/Rosetta分类
信息技术与安全科学引用本文复制引用
朱炜,王云岚..基于属性约简的MPI运行时参数优化[J].计算机与现代化,2014,(1):14-17,21,5.
