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Evaluating performance and energy-efficiency of a parallel signal correlation algorithm on current multi and manycore architectures

 
: Hendricks, A.; Heller, T.; Schäfer, A.; Kasparek, M.; Fey, D.

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Volltext ()

Procedia computer science 80 (2016), S.1566-1576
ISSN: 1877-0509
International Conference on Computational Science (ICCS) <2016, San Diego/Calif.>
Englisch
Konferenzbeitrag, Zeitschriftenaufsatz, Elektronische Publikation
Fraunhofer IIS ()

Abstract
Increasing variety and affordability of multi- and many-core embedded architectures can pose both a challenge and opportunity to developers of high performance computing applications. In this paper we present a case study where we develop and evaluate a unified parallel approach to a signal-correlation algorithm, currently in-use in a commercial/industrial locating system. We utilize both HPX C++ and CUDA runtimes to achieve scalable code for current embedded multi- and many-core architectures (NVIDIA Tegra, Intel Broadwell M, Arm Cortex A-15). We also compare our approach onto traditional high-performance hardware as well as a native embedded many-core variant. To increase the accuracy of our performance analysis we introduce dedicated performance model.

: http://publica.fraunhofer.de/dokumente/N-422569.html