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Performance Portability Strategies for Grid C++ Expression Templates · Around

2017

Performance Portability Strategies for Grid C++ Expression Templates

Boyle, Peter A., Clark, M. A., DeTar, Carleton et al.

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One of the key requirements for the Lattice QCD Application Development as part of the US Exascale Computing Project is performance portability across multiple architectures.

Using the Grid C++ expression template as a starting point, we report on the progress made with regards to the Grid GPU offloading strategies.
We present both the successes and issues encountered in using CUDA, OpenACC and Just-In-Time compilation.
Experimentation and performance on GPUs with a SU(3)$\times$SU(3) streaming test will be reported.

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OpenMP 4.5 IBM November 2015 Hackathon: Current Status and Lessons Learned , https://codesign.llnl.gov/pdfs/2015-11-IBM-OpenMP-Hackathon-outbrief-final.pdf
2015
Earlier work this paper cites.
P.A. Boyle, G. Cossu, A. Yamaguchi, A. Portelli, PoS LATTICE2015
2016
Earlier work this paper cites.

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I. Karlin, T. Scogland, A.C. Jacob, S.F. Antao, G.T. Bercea, C. Bertolli, B.R. de Supinski, E.W. Draeger, A.E. Eichenberger, J. Glosli et al., Early Experiences Porting Three Applications to OpenMP 4.5 (Springer International Publishing, Cham, 2016), pp. 281–292
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C. DeTar, Lattice QCD Application Development within the US DOE Exascale Computation Project , in Proceedings, 35th International Symposium on Lattice Field Theory (Lattice2017) : Granada, Spain , to appear in EPJ Web Conf
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R. Farber, ed., Parallel Programming with OpenACC , 1st edn. (Morgan Kaufmann, Boston, 2017)
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