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Optimizing Chip Multiprocessor Work Distribution using Dynamic Compilation

J. Zhao, M. Horsnell, I. Rogers, A. Dinn, C. Kirkham, I. Watson

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.

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