Accelerating Large-Scale Nearest Neighbor Search with Computational Storage Device

2021 IEEE 29th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM)(2021)

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摘要
K-nearest neighbor algorithm that searches the K closest samples in a high dimensional feature space is one of the most fundamental tasks in machine learning and image retrieval applications. Computational storage device that combines computing unit and storage module on a single board becomes popular to address the data bandwidth bottleneck of the conventional computing system. In this paper, we ...
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关键词
Machine learning algorithms,Image retrieval,Machine learning,Bandwidth,Nearest neighbor methods,Computational efficiency,Task analysis
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