Autotuning Wavefront Abstractions for Heterogeneous Architectures
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
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.
September 21, 2012 by hgpu
