Abstract
Unified Parallel C (UPC) is a Partitioned Global Address Space (PGAS) language that exhibits high performance and portability on a broad class of shared and distributed memory parallel architectures. This paper describes the design and implementation of a parallel numerical library for UPC built on top of the sequential BLAS routines. The developed library exploits the particularities of the PGAS paradigm, taking into account data locality in order to guarantee a good performance. The library was experimentally validated, demonstrating scalability and efficiency. © 2009 Springer.
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CITATION STYLE
González-Domínguez, J., Martín, M. J., Taboada, G. L., Touriño, J., Doallo, R., & Gómez, A. (2009). A parallel numerical library for UPC. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5704 LNCS, pp. 630–641). https://doi.org/10.1007/978-3-642-03869-3_60
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