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Autotuning Wavefront Abstractions for Heterogenous Architectures

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationApplications for Multi-Core Architectures (WAMCA), 2012 Third Workshop on
PublisherIEEE
Pages42-47
Number of pages6
ISBN (Print)978-1-4673-5025-9
DOIs
StatePublished - 2012

Abstract

We present our auto tuned heterogeneous parallel programming abstraction for the wave front 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 wave front examples.

ID: 23326219