UPC performance evaluation on a multicore system

Authors:
D. A. Mallón;A. Gómez;J. C. Mouriño;G. L. Taboada;C. Teijeiro;J. Touriño;B. B. Fraguela;R. Doallo;B. Wibecan
Affiliations:
Galicia Supercomputing Center, Santiago de Compostela, Spain;Galicia Supercomputing Center, Santiago de Compostela, Spain;Galicia Supercomputing Center, Santiago de Compostela, Spain;University of A Coruña, Spain;University of A Coruña, Spain;University of A Coruña, Spain;University of A Coruña, Spain;University of A Coruña, Spain;Hewlett-Packard, Nashua (NH)
Venue:
Proceedings of the Third Conference on Partitioned Global Address Space Programing Models
Year:
2009

Citing 5
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Abstract

As size and architectural complexity of High Performance Computing systems increases, the need for productive programming tools and languages becomes more important. The UPC language aims to be a good choice for a productive parallel programming. However, productivity is influenced not only by expressiveness of the language, but also by its performance. To assess the current UPC performance in high performance multicore systems, and therefore to help improve UPC developers future productivity, this paper provides an up-to-date UPC performance evaluation at various levels, evaluating two collective implementations, comparing their results with their MPI counterparts, and finally evaluating UPC and MPI performance in computational kernels. This analysis shows a path to optimize UPC collectives performance. This work also provides a performance snapshot of UPC vs the currently most popular choice for parallel programming, MPI. This snapshot, altogether with the UPC collectives analysis, shows that there is room for improvement and, besides its worse performance, UPC is suitable for a productive development of most HPC applications.