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CHOPPER: Optimizing Data Partitioning for In-memory Data Analytics Frameworks.

, , , , , and . CLUSTER, page 110-119. IEEE Computer Society, (2016)

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GERBIL: MPI+YARN., , and . CCGRID, page 627-636. IEEE Computer Society, (2015)FlexiMod: Flexible Coexistence Support for Programming Models., and . CCGRID, page 773-776. IEEE Computer Society, (2015)CHOPPER: Optimizing Data Partitioning for In-memory Data Analytics Frameworks., , , , , and . CLUSTER, page 110-119. IEEE Computer Society, (2016)FatMan vs. LittleBoy: Scaling Up Linear Algebraic Operations in Scale-Out Data Platforms., , , , and . PDSW-DISCS@SC, page 25-30. IEEE Computer Society, (2016)A Quantitative Study of Deep Learning Training on Heterogeneous Supercomputers., , , , and . CLUSTER, page 1-12. IEEE, (2019)Scaling up data-parallel analytics platforms: Linear algebraic operation cases., , , , and . IEEE BigData, page 273-282. IEEE Computer Society, (2017)Evaluating Intel 3D-Xpoint NVDIMM Persistent Memory in the Context of a Key-Value Store., , , , , and . ISPASS, page 202-211. IEEE, (2020)MEMTUNE: Dynamic Memory Management for In-Memory Data Analytic Platforms., , , , , and . IPDPS, page 383-392. IEEE Computer Society, (2016)MARBLE: A Multi-GPU Aware Job Scheduler for Deep Learning on HPC Systems., , , , , and . CCGRID, page 272-281. IEEE, (2020)A Heterogeneity-Aware Task Scheduler for Spark., , , and . CLUSTER, page 245-256. IEEE Computer Society, (2018)