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- W2801116616 abstract "The design of efficient Networks-on-Chip (NoCs) is essential for GPGPUs. The asymmetry of GPGPU traffic has a significant effect on the overall system performance. An existing VC partitioning design statically assigns more VCs to the heavier reply traffic. Yet, its static partitioning cannot adapt to the dynamic variation of NoC traffic. Thus, we propose an adaptive VC partitioning (A-VCP) mechanism, which dynamically chooses the optimal VC partitioning by sampling the traffic status. Compared with the static configuration, A-VCP averagely improves the system performance by 10.5%, and reduces the energy-delay product by 9.1%." @default.
- W2801116616 created "2018-05-17" @default.
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- W2801116616 date "2018-01-01" @default.
- W2801116616 modified "2023-09-25" @default.
- W2801116616 title "Adaptive VC Partitioning for NoCs in GPGPUs" @default.
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- W2801116616 doi "https://doi.org/10.1109/iscas.2018.8350900" @default.
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