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20162022
most citedOptimizing Streaming Parallelism on Heterogeneous Many-Core Architectures: A Machine Learning Based Approach

20 citations · 42 across the 7 of their papers we have counts for

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Showing 2018Show all

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cs.PF2018★ 1 cited

Tuning Streamed Applications on Intel Xeon Phi: A Machine Learning Based Approach

Peng Zhang, Jianbin Fang, Tao Tang +2

Many-core accelerators, as represented by the XeonPhi coprocessors and GPGPUs, allow software to exploit spatial and temporal sharing of computing resources to improve the overall…