This paper shows several optimization techniques in OpenMP and investigates their impact using the MGCG method. MGCG is im-portant for not only an efficient solver but also benchmarking since it includes several essential operations for high-performance computing. We evaluate several optimizing techniques on an SGI Origin 2000 using the SGI MIPSpro compiler and the RWCP Omni OpenMP compiler. In the case of the RWCP Omni OpenMP compiler, the optimization greatly im-proves performance, whereas for the SGI MIPSpro compiler, it does not affect very much though the optimized version scales well up to 16 pro-cessors with a larger problem. This impact is examined by a light-weight profiling tool bundled with the Omni compiler. We propose several new directives for further performance and portability of OpenMP.
CITATION STYLE
Tatebe, O., Sato, M., & Sekiguchi, S. (2000). Impact of openMP optimizations for the MGCG method. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1940, pp. 471–481). Springer Verlag. https://doi.org/10.1007/3-540-39999-2_44
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