Abstract
The computing power provided by high performance low-cost PC-based Cluster and Grid platforms are attractive, and they are equal or superior to supercomputers and mainframes widely available. In this research paper, we present the design rationale and implementation of Visuel, a toolkit for performance measurement and analysis of MPI parallel programs and real time resources monitoring in cluster and grid computing environments. The proposed toolkit is web-based interface to show performance activities of all computing nodes involved in the execution of a MPI parallel program, such as CPU and memory usage levels of each computing node, and monitors all computing nodes of a computing platform by displaying real time performance data. In addition, this toolkit is able to display comparative performance data charts of multiple executions of MPI parallel application under investigation, which facilitates the “what-if” analysis. The usage of this toolkit shows that it outperforms in easing the process of investigation of parallel applications.
This research is supported in part by National Science Council, Taiwan, under grants no. NSC93-2213-E-126-010 and NSC94-2213-E-126-005, and National Center for High Performance Computing, Taiwan, under “Taiwan Knowledge Innovation National Grid” Project.
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Li, KC. et al. (2005). Visuel: A Novel Performance Monitoring and Analysis Toolkit for Cluster and Grid Environments. In: Hobbs, M., Goscinski, A.M., Zhou, W. (eds) Distributed and Parallel Computing. ICA3PP 2005. Lecture Notes in Computer Science, vol 3719. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11564621_36
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DOI: https://doi.org/10.1007/11564621_36
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29235-7
Online ISBN: 978-3-540-32071-5
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