Advances in Computational Sciences and Technology

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Comparative Study of Performance Metrics for Evaluating Parallel Computing Systems


Affiliations
1 Deptt. of Comp. Sci. & App., DAV College, Abohar (Punjab)., India
     

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A sequential algorithm is usually evaluated in terms of its execution time which is expressed as a function of its input size. On the other hand, the execution time of a parallel algorithm depends not only on the input size but also on the parallel architecture and the number of processors employed. Hence, a parallel algorithm cannot be evaluated isolated from a parallel computer. A parallel system should be viewed as a combination of a parallel algorithm and the parallel computer on which it is implemented. This paper presents a review of some performance metrics, standard measures, and benchmark for evaluating the performance of a parallel computing system.

Keywords

Parallel Systems, Performance Metrics, Performance Evaluation, Speedup, Efficiency, Superlinear Speedup, Cost
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  • V.Rajaraman & C.Siva Ram Murthy “Parallel Computers Architecture and programming”, Prentice Hall.

  • http://www.cc.gatech.edu/~rama/TASS/papers/git.cc.94.38.pdf.

  • Introduction to Parallel Computing, Ananth Grama, et. al., Pearson Education, Ltd., Second Edition, 2004.

  • Sun and Gustafson. Towards a better parallel performance metric. Parallel Computing.

  • Sun X-H, and Ni, l. Scalable problems and memory bounded speedup.


Abstract Views: 367

PDF Views: 2




  • Comparative Study of Performance Metrics for Evaluating Parallel Computing Systems

Abstract Views: 367  |  PDF Views: 2

Authors

Sanjeev Kumar
Deptt. of Comp. Sci. & App., DAV College, Abohar (Punjab)., India

Abstract


A sequential algorithm is usually evaluated in terms of its execution time which is expressed as a function of its input size. On the other hand, the execution time of a parallel algorithm depends not only on the input size but also on the parallel architecture and the number of processors employed. Hence, a parallel algorithm cannot be evaluated isolated from a parallel computer. A parallel system should be viewed as a combination of a parallel algorithm and the parallel computer on which it is implemented. This paper presents a review of some performance metrics, standard measures, and benchmark for evaluating the performance of a parallel computing system.

Keywords


Parallel Systems, Performance Metrics, Performance Evaluation, Speedup, Efficiency, Superlinear Speedup, Cost

References