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• W2899342811 abstract "This article demonstrates an approach for combining general tuning techniques with the POWER8 hardware architecture through optimizing three representative stencil benchmarks. Two typical real-world applications, with kernels similar to those of the winning programs of the Gordon Bell Prize 2016 and 2017, are employed to illustrate algorithm modifications and a combination of hardware-oriented tuning strategies with the application algorithms. This work fills the gap between hardware capability and software performance of the POWER8 processor, and provides useful guidance for optimizing stencil-based scientific applications on POWER systems." @default.
• W2899342811 created "2018-11-09" @default.
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• W2899342811 date "2018-10-10" @default.
• W2899342811 modified "2023-09-26" @default.
• W2899342811 title "Performance Tuning and Analysis for Stencil-Based Applications on POWER8 Processor" @default.
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• W2899342811 doi "https://doi.org/10.1145/3264422" @default.
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