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Performance Prediction for Parallel Scientific Application

Khan, Rafiqul Zaman and Ansari, Abdul Quaiyum and Qureshi, Kalim (2004) Performance Prediction for Parallel Scientific Application. Malaysian Journal of Computer Science, 17 (1). pp. 65-73. ISSN 0127-9084

Full text not available from this repository.

Official URL: http://mjcs.fsktm.um.edu.my/detail.asp?AID=289

Affiliations

King Fahd University of Petroleum and Minerals

Abstract

In this paper we studied performance predictions for parallel scientific applications on a homogeneous cluster of workstations. Performance prediction is important for analyses of the scalability of parallel applications and the estimation of the processing time for the application in a loaded/unloaded environment. We developed Automatic Parallel Application Prediction System (APAPS) for cluster computing environments. Here we are reporting the accuracy of the APAPS using two scientific applications. The measured result shows that APAPS has high prediction accuracy.

Item Type:Journal
Keywords:Performance Tool, Prediction of Resources, Computional & Communication Modeling, Performance Predictions, Parallel Program Performance Predictions
Subjects:Q Science
ID Code:376

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