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• W3174197853 abstract "As a promising solution to boost the performance of distance-related algorithms (e.g., <inline-formula xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink> <tex-math notation=LaTeX>$K$ </tex-math></inline-formula> -means and KNN), FPGA-based acceleration attracts lots of attention, but also comes with numerous challenges. In this work, we propose, <italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>STPAcc</i> , an optimization framework based on structural triangle-inequality (TI)-based pruning (STP) for accelerating distance-related algorithms on CPU-FPGA platforms. STPAcc provides a domain-specific language to unify distance-related algorithms effectively, a structural TI-based pruning strategy to remove unnecessary distance computations, a coarse-grained workload partitioning and mapping strategy to fully exploit the potentials of the CPU-FPGA platform, and fine-grained hardware optimizations to further improve performance on the FPGA. Intensive experiments show that STPAcc designs achieve <inline-formula xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink> <tex-math notation=LaTeX>$31.42times $ </tex-math></inline-formula> speedup and <inline-formula xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink> <tex-math notation=LaTeX>$99.63times $ </tex-math></inline-formula> better energy efficiency on average over standard CPU-based implementations." @default.
• W3174197853 created "2021-07-05" @default.
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• W3174197853 date "2022-05-01" @default.
• W3174197853 modified "2023-09-29" @default.
• W3174197853 title "STPAcc: Structural TI-Based Pruning for Accelerating Distance-Related Algorithms on CPU-FPGA Platforms" @default.
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• W3174197853 doi "https://doi.org/10.1109/tcad.2021.3093394" @default.
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