Optimizing chip multiprocessor work distribution using dynamic compilation

Authors:
Jisheng Zhao;Matthew Horsnell;Ian Rogers;Andrew Dinn;Chris Kirkham;Ian Watson
Affiliations:
University of Manchester, UK;University of Manchester, UK;University of Manchester, UK;University of Manchester, UK;University of Manchester, UK;University of Manchester, UK
Venue:
Euro-Par'07 Proceedings of the 13th international Euro-Par conference on Parallel Processing
Year:
2007

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Abstract

How can sequential applications benefit from the ubiquitous next generation of chip multiprocessors (CMP)? Part of the answer may be a dynamic execution environment that automatically parallelizes programs and adaptively tunes the work distribution. Experiments using the Jamaica CMP show how a runtime environment is capable of parallelizing standard benchmarks and achieving performance improvements over traditional work distributions.