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A Processor Selection Method based on Execution Time Estimation for Machine Learning Programs

Published • Jun 1, 2021
NobleIDNI4P39W03R91S49
Authors:
Kou Murakami
,
Kazuhiko Komatsu
,
Masayuki Sato

Abstract

In recent years, machine learning has become widespread. Since machine learning algorithms have become complex and the amount of data to be handled have become large, the execution times of machine learning programs have been increasing. Processors called accelerators can contribute to the execution...

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