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• W2779603265 abstract "In the last years, the presence of heterogeneous hardware platforms in the HPC field increased enormously. One of the major reason for this evolution is the necessity to contemplate energy consumption restrictions. As an alternative for reducing the power consumption of large clusters, new systems that include unconventional devices have been proposed. In particular, it is now common to encounter energy-efficient hardware such as GPUs and low-power ARM processors as part of hardware platforms intended for scientific computing." @default.
• W2779603265 created "2018-01-05" @default.
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• W2779603265 date "2017-12-28" @default.
• W2779603265 modified "2023-09-23" @default.
• W2779603265 title "Evaluating the NVIDIA Tegra Processor as a Low-Power Alternative for Sparse GPU Computations" @default.
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• W2779603265 doi "https://doi.org/10.1007/978-3-319-73353-1_8" @default.
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