Using shared-data localization to reduce the cost of inspector-execution in unified-parallel-C programs.

Michail Alvanos,Ettore Tiotto,José Nelson Amaral,Montse Farreras,Xavier Martorell

Parallel Computing（2016）

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摘要

•We improve performance of fine-grain UPC applications by orders of magnitude.•We introduce a novel shared-data localization transformation.•We present a thorough performance analysis and evaluation.•We show that reducing run-time calls is crucial for performance.•We achieve performance comparable to C and MPI using the UPC programming model.

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关键词

Unified Parallel C,Partitioned global address space,Compiler optimization

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