Abstract

We present a major update to the GPU-STREAM benchmark implementation, first shown at SC’15. The original benchmark allowed comparison of achievable memory bandwidth performance through the STREAM kernels on OpenCL devices. GPU-STREAM v2.0 extends the benchmark to another dimension: the kernels are implemented in a wide range of popular state-of-the-art parallel programming models. This allows an intuitive comparison of performance across a diverse set of programming models and devices, investigating whether choice of model matters to performance and performance portability.

@misc{sc16,
  author = {Deakin, Tom and Price, James and Martineau, Matt and McIntosh-Smith, Simon},
  title = {{GPU-STREAM: now in 2D!}},
  howpublished = {{Poster at Supercomputing, The International Conference for High Performance Computing, Networking, Storage and Analysis (SC)}},
  year = {2016},
  url = {https://research-information.bris.ac.uk/en/publications/gpu-stream-now-in-2d},
  pdf = {http://sc16.supercomputing.org/sc-archive/tech_poster/poster_files/post139s2-file2.pdf},
  keywords = {Posters}
}