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Supporting multiple accelerators in high-level programming models
2015
Proceedings of the Sixth International Workshop on Programming Models and Applications for Multicores and Manycores - PMAM '15
Computational accelerators, such as manycore NVIDIA GPUs, Intel Xeon Phi and FPGAs, are becoming common in workstations, servers and supercomputers for scientific and engineering applications. Efficiently exploiting the massive parallelism these accelerators provide requires the designs and implementations of productive programming models. In this paper, we explore support of multiple accelerators in high-level programming models. We design novel language extensions to OpenMP to support
doi:10.1145/2712386.2712405
dblp:conf/ppopp/0001LLSQ15
fatcat:3bkv56c7ojb2te3q7da32zjgde