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Panthera: holistic memory management for big data processing over hybrid memories

Chenxi Wang, Huimin Cui, Ting Cao, John N. Zigman, Haris Volos, Onur Mutlu, Fang Lv, Xiaobing Feng + 1 more

Modern data-parallel systems such as Spark rely increasingly on in-memory computing that can significantly improve the efficiency of iterative algorithms. To process real-world datasets, modern data-parallel systems often require extremely large amounts of memory, which are both …