Abstract
This paper introduces stOMP: a specializing thread-library for OpenMP. Using a combined compile-time and run-time system, stOMP specializes OpenMP parallel regions for frequently-seen values and the configuration of the runtime system. An overview of stOMP is presented as well as motivation for the runtime optimization of OpenMP applications. The overheads incurred by a prototype implementation of stOMP are evaluated on three Spec OpenMP Benchmarks and the EPCC scheduling microbenchmark. The results are encouraging and suggest that there is a large potential for improvement by the runtime optimization of OpenMP applications.
This work is supported in part by the National Science and Engineering Research Council, Bell Canada University Labs, the Connaught Foundation and Dell Canada.
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Burcea, M., Voss, M.J. (2003). A Runtime Optimization System for OpenMP. In: Voss, M.J. (eds) OpenMP Shared Memory Parallel Programming. WOMPAT 2003. Lecture Notes in Computer Science, vol 2716. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45009-2_4
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DOI: https://doi.org/10.1007/3-540-45009-2_4
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