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• W3036082746 abstract "Nodes with multiple GPUs are becoming the platform of choice for high-performance computing. However, most applications are written using bulk-synchronous programming models, which may not be optimal for irregular algorithms that benefit from low-latency, asynchronous communication. This article proposes constructs for asynchronous multi-GPU programming and describes their implementation in a thin runtime environment called Groute. Groute also implements common collective operations and distributed work-lists, enabling the development of irregular applications without substantial programming effort. We demonstrate that this approach achieves state-of-the-art performance and exhibits strong scaling for a suite of irregular applications on eight-GPU and heterogeneous systems, yielding over 7× speedup for some algorithms." @default.
• W3036082746 created "2020-06-25" @default.
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• W3036082746 date "2020-06-21" @default.
• W3036082746 modified "2023-10-16" @default.
• W3036082746 title "Groute" @default.
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• W3036082746 doi "https://doi.org/10.1145/3399730" @default.
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