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Journal of Engineering and Applied Sciences

Performance Evaluation of Parallel Applications using SVM and PVM Through Matrix Multiplications
Mehzabeen Kaur and Surender Jangra

Abstract: Parallel computing environment is playing a major role in high performance computing which provides performance similar to that of mini supercomputers in a cost effective way to solve such a computation intensive applications. With the continuous developments in node architectures and interconnection technologies, MPI and PVM are creating the space for significant role in building up parallel programming environment. In this study an attempt has been made to evaluate the performance of parallel applications using SVM and PVM by resorting to large order metrics multiplications as a benchmark.

How to cite this article
Mehzabeen Kaur and Surender Jangra, 2017. Performance Evaluation of Parallel Applications using SVM and PVM Through Matrix Multiplications. Journal of Engineering and Applied Sciences, 12: 6313-6317.

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