Maximizing speedup through performance prediction for distributed shared memory systems

Y. C. Zhuang, Ce-Kuen Shieh, T. Y. Liang, C. H. Chou

研究成果: Paper同行評審

摘要

Parallel applications executing on large system size of parallel systems achieve better speedup than on small system size. However, because of the design and implementation of the Distributed Shared Memory (DSM) system, there are some instances that large system size has no further performance improvement over small system size. It is important to determine what system size will result in the maximum speedup while all kinds of applications are running on DSM systems. In this paper, we describe the design and implementation of the performance prediction mechanism in our DSM system, Proteus [13], which supports node reconfiguration to adjust system size at runtime. We adopt a simple computation model and combine it with runtime information to predict the performance under different system sizes. With this work, it is possible to provide timely prediction result for the underlying system to adjust system size and thus maximize speedup.

原文English
頁面723-726
頁數4
出版狀態Published - 2001 一月 1
事件21st IEEE International Conference on Distributed Computing Systems - Mesa, AZ, United States
持續時間: 2001 四月 162001 四月 19

Other

Other21st IEEE International Conference on Distributed Computing Systems
國家United States
城市Mesa, AZ
期間01-04-1601-04-19

All Science Journal Classification (ASJC) codes

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

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