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This fork is for the PIM research project, implementing KNN in GPU.

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A benchmark suit for In-situ computing

Some codes are borrowed from CUDA sample codes and NVIDIA blogs

Citation

Fulcrum: a Simplified Control and Access Mechanism toward Flexible and Practical in-situ Accelerators.

Marzieh Lenjani, Patricia Gonzalez, Elaheh Sadredini, Shuangchen Li, Yuan Xie, Ameen Akel, Sean Eilert, Mircea R. Stan, and Kevin Skadron

The 26th IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2020.

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This fork is for the PIM research project, implementing KNN in GPU.

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  • C 67.9%
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