Performance Portability Strategies for Grid C++ Expression Templates

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Abstract

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)×SU(3) streaming test will be reported. We will also report on the challenges of using current OpenMP 4.x for GPU offloading in the same code.

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APA

Boyle, P. A., Clark, M. A., Detar, C., Lin, M., Rana, V., & Avilés-Casco, A. V. (2018). Performance Portability Strategies for Grid C++ Expression Templates. In EPJ Web of Conferences (Vol. 175). EDP Sciences. https://doi.org/10.1051/epjconf/201817509006

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