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Understanding Scalability and Fine-Grain Parallelism of Synchronous Data Parallel Training.

, , , and . MLHPC@SC, page 1-8. IEEE, (2019)

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JETS: Language and System Support for Many-Parallel-Task Workflows., , and . J. Grid Comput., 11 (3): 341-360 (2013)Biomolecular committor probability calculation enabled by processing in network storage., , , , , and . Parallel Comput., 34 (11): 652-660 (2008)Toward Interlanguage Parallel Scripting for Distributed-Memory Scientific Computing., , , , , and . CoRR, (2021)Making the best of a bad situation: Prioritized storage management in GEMS., , , , and . Future Gener. Comput. Syst., 24 (1): 10-16 (2008)Online data analysis and reduction: An important Co-design motif for extreme-scale computers., , , , , , , , , and 18 other author(s). Int. J. High Perform. Comput. Appl., 35 (6): 617-635 (2021)Interlanguage parallel scripting for distributed-memory scientific computing., , , , , and . WORKS@SC, page 6:1-6:11. ACM, (2015)Reusability in Science: From Initial User Engagement to Dissemination of Results., , , , , , and . CoRR, (2013)Compiler Techniques for Massively Scalable Implicit Task Parallelism., , , and . SC, page 299-310. IEEE Computer Society, (2014)Dataflow coordination of data-parallel tasks via MPI 3.0., , , , , , and . EuroMPI, page 1-6. ACM, (2013)Access control for a replica management database., , and . StorageSS, page 41-46. ACM, (2006)