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Autotuning Wavefront Abstractions for Heterogeneous Architectures

Siddharth Mohanty, Murray Cole
Institute for Computing Systems Architecture, University of Edinburgh, 10 Crichton Street, Edinburgh, UK
2012 Third Workshop on Applications for Multi-Core Architectures (WAMCA ’12), 2012

@article{mohanty2012autotuning,

   title={Autotuning Wavefront Abstractions for Heterogeneous Architectures},

   author={Mohanty, S. and Cole, M.},

   year={2012}

}

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We present our autotuned heterogeneous parallel programming abstraction for the wavefront pattern. An exhaustive search of the tuning space indicates that correct setting of tuning factors can average 37x speedup over a sequential baseline. Our best automated machine learning based heuristic obtains 92% of this ideal speedup, averaged across our full range of wavefront examples.
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