Performance analysis of OpenMP on a GPU using a CORAL proxy application
Gheorghe-Teodor Bercea, Carlo Bertolli, Samuel Antão, Arpith C. Jacob, Alexandre E. Eichenberger, Tong Chen, Zehra Sura, Hyojin Sung, Georgios Rokos, David Appelhans, Kevin K. O'Brien · 2015
OpenMP provides high-level parallel abstractions for programing heterogeneous systems based on acceleration technology. Active areas of research are looking to characterise the performance that can be expected from even the simplest combinations of directives and how they compare to versions manually implemented and tuned to a specific hardware accelerator. In this paper we analyze the performance of our implementation of the OpenMP 4.0 constructs on an NVIDIA GPU. For performance analysis we use LULESH, a complex proxy application provided by the Department of Energy as part of the CORAL benchmark suite.