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- W3124194311 abstract "Even though the architecture and programming models of heterogeneous many-core processors significantly differ from the conventional multi-core processors, their overall performance is promising for future computing systems. The application programs should be suitably parallel to unlock such potential and match the underlying heterogeneous platform. Therefore, high-level programming constructs should be provided by parallel programming models for heterogeneous many-cores to avoid recurrent programming errors while communicating in heterogeneous many-core systems. Synchronization is one of the key problems in building shared-resource-based parallel software. In this article, we survey mainstream and novel parallel programming models that handle this troublesome issue for heterogeneous Many-Cores: OpenMP, CUDA, OpenCL, Go, Kokkos, OmpSs, and XcalableMP. We also discuss potential research directions in the area." @default.
- W3124194311 created "2021-02-01" @default.
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- W3124194311 date "2020-11-06" @default.
- W3124194311 modified "2023-10-16" @default.
- W3124194311 title "Synchronization in Parallel Programming Models for Heterogeneous Many-Cores" @default.
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- W3124194311 doi "https://doi.org/10.1109/pdgc50313.2020.9315797" @default.
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