首页|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)
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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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.”
Jiangxi University of Finance and Econom icsJiangxiPeople’s Republic of ChinaAsiaAlgorithmsCyborgsEmerging Te chnologiesMachine Learning
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