Abstract
During the last few years, the availability of hardware accelerators, such as GPUs, has rapidly increased. However, the entry cost to GPU programming is high and requires a considerable porting and tuning effort. Some research groups and vendors have made attempts to ease the situation by defining APIs and languages that simplify these tasks. In the wake of the success of OpenMP, industria and academia are working toward defining a new standard of compiler directives to leverage the GPU programming effort. Support from vendors and similarities with the upcoming OpenMP 4.0 standard lead us to believe that OpenACC is a good alternative for developers who want to port existing codes to accelerators. In this paper, we evaluate three OpenACC implementations: two commercial implementations (PGI and CAPS) and our own research implementation, accULL, to evaluate the current status and future directions of the standard.
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Acknowledgements
This work has been partially supported by the EU (FEDER), the Spanish MEC (Plan Nacional de I+D+I, contracts TIN2008-06570-C04-03 and TIN2011-24598), HPC-EUROPA2 (project number 228398) and the Canary Islands Government, ACIISI (contract PI2008/285).
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Reyes, R., López, I., Fumero, J.J. et al. A preliminary evaluation of OpenACC implementations. J Supercomput 65, 1063–1075 (2013). https://doi.org/10.1007/s11227-012-0853-z
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DOI: https://doi.org/10.1007/s11227-012-0853-z