https://doi.org/10.1051/epjconf/201817509008
Portable LQCD Monte Carlo code using OpenACC
1
Università di Pisa and INFN Sezione di Pisa, Largo Pontecorvo 3, I-56127 Pisa, Italy
2
Università degli Studi di Ferrara and INFN Sezione di Ferrara, Via Saragat 1, I-44122 Ferrara, Italy
3
Jülich Supercomputing Centre, Forschungszentrum Jülich, 52428 Jülich, Germany
* Speaker, e-mail: g.silvi@fz-juelich.de
Published online: 26 March 2018
Varying from multi-core CPU processors to many-core GPUs, the present scenario of HPC architectures is extremely heterogeneous. In this context, code portability is increasingly important for easy maintainability of applications; this is relevant in scientific computing where code changes are numerous and frequent. In this talk we present the design and optimization of a state-of-the-art production level LQCD Monte Carlo application, using the OpenACC directives model. OpenACC aims to abstract parallel programming to a descriptive level, where programmers do not need to specify the mapping of the code on the target machine. We describe the OpenACC implementation and show that the same code is able to target different architectures, including state-of-the-art CPUs and GPUs.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
