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TAZeR: Hiding the Cost of Remote I/O in Distributed Scientific Workflows.

, , , and . IEEE BigData, page 383-394. IEEE, (2019)

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Application characterization at scale: lessons learned from developing a distributed open community runtime system for high performance computing., , , , and . Conf. Computing Frontiers, page 164-171. ACM, (2016)Asynchronous Runtimes in Action: An Introspective Framework for a Next Gen Runtime., , , , and . IPDPS Workshops, page 1744-1751. IEEE Computer Society, (2016)An Implementation of the Codelet Model., , and . Euro-Par, volume 8097 of Lecture Notes in Computer Science, page 633-644. Springer, (2013)Designing Scalable Distributed Memory Models: A Case Study., , , , , and . Conf. Computing Frontiers, page 174-182. ACM, (2017)TAZeR: Hiding the Cost of Remote I/O in Distributed Scientific Workflows., , , and . IEEE BigData, page 383-394. IEEE, (2019)LC-MEMENTO: A Memory Model for Accelerated Architectures., , , , , , and . LCPC, volume 13181 of Lecture Notes in Computer Science, page 67-82. Springer, (2021)Verification of the Extended Roofline Model for Asynchronous Many Task Runtimes., , , , , and . ESPM2@SC, page 6:1-6:8. ACM, (2017)Adaptive Runtime Features for Distributed Graph Algorithms., , , and . HiPC, page 82-91. IEEE, (2018)Finding Your Niche: An Evolutionary Approach to HPC Topologies., , , , and . HPEC, page 1-9. IEEE, (2023)On the Marriage of Asynchronous Many Task Runtimes and Big Data: A Glance., , , and . HiPC, page 233-242. IEEE, (2020)