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Dynamic Task and Data Placement over NUMA Architectures: An OpenMP Runtime Perspective

, , , , and . Evolving OpenMP in an Age of Extreme Parallelism, (2009)

Abstract

Exploiting the full computational power of current hierarchical multiprocessor machines requires a very careful distribution of threads and data among the underlying non-uniform architecture so as to avoid memory access penalties. Directive-basedprogramming languages such as OpenMPprovide programmers with an easy way to structure the parallelism of their applicationand to transmit this information to the runtime system.

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