Robotics & Machine Learning Daily News2024,Issue(Mar.14) :51-51.

Researcher at Jiangxi University of Finance and Economics Has Published New Data on Machine Learning (Performance Optimization of Machine Learning Algorithms Ba sed on Spark)

Robotics & Machine Learning Daily News2024,Issue(Mar.14) :51-51.

Researcher at Jiangxi University of Finance and Economics Has Published New Data on Machine Learning (Performance Optimization of Machine Learning Algorithms Ba sed on Spark)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in artificial intelligence. According to news reporting out of Jiangxi, People’s Republic of C hina, by NewsRx editors, research stated, “This paper proposes a performance opt imization strategy for Spark-based machine learning algorithms in Shuffle and me mory data management modules.” The news correspondents obtained a quote from the research from Jiangxi Universi ty of Finance and Economics: “The Shuffle module is optimized by introducing Obs erver monitoring module in Spark cluster to achieve task status monitoring and d ynamic ShuffleWrite task generation. Meanwhile, an adaptive caching mechanism fo r RDD data addresses the lack of in-memory data caching.”

Key words

Jiangxi University of Finance and Econom ics/Jiangxi/People’s Republic of China/Asia/Algorithms/Cyborgs/Emerging Te chnologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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