May 22, 2019 · In the experiment, KPynq consistently outperforms the CPU-based standard K-means in terms of its speedup (up to 4.2x) and significant energy- ...
May 22, 2019 · KPynq leverages an algorithm-level optimization to balance the performance and computation irregularity, and a hardware architecture design to ...
In the experiment, KPynq consistently outperforms the CPU-based standard K-means in terms of its speedup (up to 4.2x) and significant energy-efficiency (up to ...
A Work-Efficient Triangle-Inequality Based K-Means on FPGA
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Yuke Wang e colaboradores apresentaram KPynq, uma ferramenta para execução do K-means nas placas de prototipagem ZYNQ all-programmable SoC [Wang and et al.
In the experiment, KPynq consistently outperforms the CPU-based standard K-means in terms of its speedup (up to 4.2x) and significant energy-efficiency (up to ...
KPynq: A Work-Efficient Triangle-Inequality based K-means on FPGA. IEEE Symposium on Field-Programmable Custom Computing Machines. [Poster] [Bibtex]. YUKE ...
KPynq: A Work-Efficient Triangle-Inequality based K-means on FPGA. [PDF] Yuke Wang, Zhaorui Zeng, Boyuan Feng, Lei Deng, Yufei Ding. [NSF'18]. Inter ...
Kpynq: A work-efficient triangle-inequality based k-means on fpga. Y Wang, Z Zeng, B Feng, L Deng, Y Ding. FCCM'19: 2019 IEEE 27th Annual International ...
Jul 17, 2024 · KPynq: A Work-Efficient Triangle-Inequality Based K-Means on FPGA. FCCM 2019: 320. [c1]. view. electronic edition via DOI; unpaywalled version ...
... KPynq: A Work-Efficient Triangle-Inequality based K-means on FPGA.}, author ... Efficient Graph Learning}, author={Xiaobing Chen and Yuke Wang and ...