Evaluating Performance Portability of OpenACC

  • Amit SabneEmail author
  • Putt Sakdhnagool
  • Seyong Lee
  • Jeffrey S. Vetter
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8967)


Accelerator-based heterogeneous computing is gaining momentum in High Performance Computing arena. However, the increased complexity of the accelerator architectures demands more generic, high-level programming models. OpenACC is one such attempt to tackle the problem. While the abstraction endowed by OpenACC offers productivity, it raises questions on its portability. This paper evaluates the performance portability obtained by OpenACC on twelve OpenACC programs on NVIDIA CUDA, AMD GCN, and Intel MIC architectures. We study the effects of various compiler optimizations and OpenACC program settings on these architectures to provide insights into the achieved performance portability.


OpenACC Performance portability High performance computing 



The paper has been authored by Oak Ridge National Laboratory, which is managed by UT-Battelle, LLC under Contract #DE-AC05-00OR22725 to the U.S. Government. Accordingly, the U.S. Government retains a non-exclusive, royalty-free license to publish or reproduce the published form of this contribution, or allow others to do so, for U.S. Government purposes. This research is sponsored by the Office of Advanced Scientific Computing Research in the U.S. Department of Energy. This research is sponsored by the Office of Advanced Scientific Computing Research in the U.S. Department of Energy.


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Amit Sabne
    • 1
    Email author
  • Putt Sakdhnagool
    • 1
  • Seyong Lee
    • 2
  • Jeffrey S. Vetter
    • 2
    • 3
  1. 1.Purdue UniversityWest LafayetteUSA
  2. 2.Oak Ridge National LaboratoryOak RidgeUSA
  3. 3.Georgia Institute of TechnologyAtlantaUSA

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