Corpus ID: 5030193

Autotuning OpenCL Workgroup Size for Stencil Patterns

@article{Cummins2015AutotuningOW,
  title={Autotuning OpenCL Workgroup Size for Stencil Patterns},
  author={Chris Cummins and Pavlos Petoumenos and Michel Steuwer and H. Leather},
  journal={ArXiv},
  year={2015},
  volume={abs/1511.02490}
}
  • Chris Cummins, Pavlos Petoumenos, +1 author H. Leather
  • Published 2015
  • Computer Science
  • ArXiv
  • Selecting an appropriate workgroup size is critical for the performance of OpenCL kernels, and requires knowledge of the underlying hardware, the data being operated on, and the implementation of the kernel. This makes portable performance of OpenCL programs a challenging goal, since simple heuristics and statically chosen values fail to exploit the available performance. To address this, we propose the use of machine learning-enabled autotuning to automatically predict workgroup sizes for… CONTINUE READING
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