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Polish Information Processing Society
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Annals of Computer Science and Information Systems, Volume 11

Proceedings of the 2017 Federated Conference on Computer Science and Information Systems

A Framework for Generating and Evaluating Parallelized Code

DOI: http://dx.doi.org/10.15439/2017F230

Citation: Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 11, pages 493–496 ()

Full text

Abstract. The work describes a flexible framework built to generate various (parallel) software versions and to benchmark them. The framework is written with the use of the Python language with some support of the gnuplot plotting program. An example of the use of this tool shows the tuning of a matrix factorization on different architectures (Intel Haswell and Intel Knights Corner) with various parameters of prallelization, vectorization, blocking etc.

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