STPAcc: Structural TI-Based Pruning for Accelerating Distance-Related Algorithms on CPU-FPGA Platforms

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems(2022)

引用 3|浏览24
暂无评分
摘要
As a promising solution to boost the performance of distance-related algorithms (e.g., $K$ -means and KNN), FPGA-based acceleration attracts lots of attention, but also comes with numerous challenges. In this work, we propose, STPAcc, an optimization framework based on structural triangle-inequality (TI)-based pruning (...
更多
查看译文
关键词
Optimization,Field programmable gate arrays,Hardware,Clustering algorithms,Computational modeling,Standards,Partitioning algorithms
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要