arXiv · 1710.09409
Performance Portability Strategies for Grid C++ Expression Templates
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)$\times$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.
Explore related subjects
Keep this discovery
Peter A. Boyle, M. A. Clark, Carleton DeTar, Meifeng Lin, Verinder Rana, Alejandro Vaquero Avilés-Casco. 2017-10-25. Performance Portability Strategies for Grid C++ Expression Templates. https://doi.org/10.1051/epjconf/201817509006
Cite the original work for its findings. Save a collection to share your selection of sources.