Compute Job Memory Recommender System Using Machine Learning

Maria Lupetini
Maria Lupetini

KDD, 2016.

Cited by: 2|Bibtex|Views0|Links
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Abstract:

This paper presents a machine learning approach to predict the amount of compute memory needed by jobs which are submitted to Load Sharing Facility (LSF® ) with a high level of accuracy. LSF® is the compute resource manager and job scheduler for Qualcomm chip design process. It schedules the jobs based on available resources: CPU, memory,...More

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