Machine Learning Migration for Efficient Near-Data Processing

2021 29th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)(2021)

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摘要
Machine Learning (ML) rises as a highly useful tool to analyze the vast amount of data generated in every field of science nowadays. Simultaneously, data movement inside computer systems gains more focus due to its high impact on time and energy consumption. In this context, the Near-Data Processing (NDP) architectures emerged as a prominent solution to increasing data by drastically reducing the ...
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关键词
Integrated circuits,Machine learning algorithms,Graphics processing units,Machine learning,Computer architecture,Tools,Parallel processing
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