首页|New Machine Learning Findings Reported from Indira Gandhi Center for Atomic Rese arch (Combining Machine Learning Techniques and Genetic Algorithm for Predicting Run Times of High Performance Computing Jobs)
New Machine Learning Findings Reported from Indira Gandhi Center for Atomic Rese arch (Combining Machine Learning Techniques and Genetic Algorithm for Predicting Run Times of High Performance Computing Jobs)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Research findings on Machine Learning are discuss ed in a new report. According to news originating from Tamil Nadu, India, by New sRx correspondents, research stated, “This study proposes a novel approach combi ning Machine Learning (ML) techniques and Genetic Algorithms (GA) for predicting High- Performance Computing (HPC) job run times. The objective is to create a pr ediction method universally applicable to any HPC system, irrespective of worklo ad characteristics, application specific parameters, user behavior, or hardware architecture.”
Tamil NaduIndiaAsiaAlgorithmsCyb orgsEmerging TechnologiesGenetic AlgorithmsGeneticsMachine LearningInd ira Gandhi Center for Atomic Research
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