Abstract
The main goal of this paper is the suitability assessment of the hStreams programming library for porting a real-life scientific application to heterogeneous platforms with Intel Xeon Phi coprocessors. This emerging library offers a higher level of abstraction to provide effective concurrency among tasks, and control over the overall performance. In our study, we focus on applying the FIFO streaming model for a parallel application which implements the numerical model of alloy solidification. In the paper, we show how scientific applications can benefit from multiple streams. To take full advantages of hStreams, we propose a decomposition of the studied application that allows us to distribute tasks belonging to the computational core of the application among two logical streams within two logical/physical domains. Effective overlapping computations with data transfers is another goal achieved in this way. The proposed approach allows us to execute the whole application 3.5 times faster than the original parallel version running on two CPUs.
This research was conducted with the financial support of National Science Centre grant no. UMO-2011/03/B/ST6/03500. The authors are grateful to the Czestochowa University of Technology for granting access to Intel Xeon Phi coprocessors provided by the MICLAB project no. POIG.02.03.00.24-093/13.
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Szustak, L., Halbiniak, K., Kulawik, A., Wyrzykowski, R., Uminski, P., Sasinowski, M. (2016). Using hStreams Programming Library for Accelerating a Real-Life Application on Intel MIC. In: Carretero, J., et al. Algorithms and Architectures for Parallel Processing. ICA3PP 2016. Lecture Notes in Computer Science(), vol 10049. Springer, Cham. https://doi.org/10.1007/978-3-319-49956-7_30
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DOI: https://doi.org/10.1007/978-3-319-49956-7_30
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