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Towards Asynchronous Many-Task in Situ Data Analysis Using Legion.

, , , , , , , and . IPDPS Workshops, page 1033-1037. IEEE Computer Society, (2016)

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A Novel Shard-Based Approach for Asynchronous Many-Task Models for In Situ Analysis., , , , and . ISAV@SC, page 27-31. ACM, (2017)Accelerating Collective Communication in Data Parallel Training across Deep Learning Frameworks., , , , , , , , , and . NSDI, page 1027-1040. USENIX Association, (2022)Harmonic CUDA: Asynchronous Programming on GPUs., , , and . PMAM@PPoPP, page 39-49. ACM, (2023)Regent: a high-productivity programming language for HPC with logical regions., , , , and . SC, page 81:1-81:12. ACM, (2015)Structure Slicing: Extending Logical Regions with Fields., , , and . SC, page 845-856. IEEE Computer Society, (2014)Isometry: A Path-Based Distributed Data Transfer System., , , , and . ICS, page 295-306. ACM, (2018)Realm: performance portability through composable asynchrony.. Stanford University, USA, (2016)Towards Asynchronous Many-Task in Situ Data Analysis Using Legion., , , , , , , and . IPDPS Workshops, page 1033-1037. IEEE Computer Society, (2016)Legion: expressing locality and independence with logical regions., , , and . SC, page 66. IEEE/ACM, (2012)Task Bench: A Parameterized Benchmark for Evaluating Parallel Runtime Performance., , , , , , , , , and 5 other author(s). CoRR, (2019)