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Harnessing billions of tasks for a scalable portable hydrodynamic simulation of the merger of two stars

, , , , , , , , , , , , , , and . The international journal of high performance computing applications, 33 (4): 699-715 (2019)
DOI: 10.1177/1094342018819744

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Build and Execution Environment (BEE): an Encapsulated Environment Enabling HPC Applications Running Everywhere., , , , , , , , , and . BigData, page 1737-1746. IEEE, (2018)Using Intrinsic Performance Counters to Assess Efficiency in Task-Based Parallel Applications., , , and . IPDPS Workshops, page 1692-1701. IEEE Computer Society, (2016)BEE Orchestrator: Running Complex Scientific Workflows on Multiple Systems., , , , , , and . HiPC, page 376-381. IEEE, (2021)A performance study of the time-varying cache behavior: a study on APEX, Mantevo, NAS, and PARSEC., , , and . The Journal of Supercomputing, 74 (2): 665-695 (2018)Harnessing billions of tasks for a scalable portable hydrodynamic simulation of the merger of two stars, , , , , , , , , and 5 other author(s). The international journal of high performance computing applications, 33 (4): 699-715 (2019)BeeFlow: A Workflow Management System for In Situ Processing across HPC and Cloud Systems., , , , , , , , , and 1 other author(s). ICDCS, page 1029-1038. IEEE Computer Society, (2018)The Performance Implication of Task Size for Applications on the HPX Runtime System., , , and . CLUSTER, page 682-689. IEEE Computer Society, (2015)A Massively Parallel Distributed N-body Application Implemented with HPX., , , , and . ScalA@SC, page 57-64. IEEE Computer Society, (2016)BeeSwarm: Enabling Parallel Scaling Performance Measurement in Continuous Integration for HPC Applications., , , , , , , and . ASE, page 1136-1140. IEEE, (2021)Harnessing billions of tasks for a scalable portable hydrodynamic simulation of the merger of two stars., , , , , , , , , and 5 other author(s). IJHPCA, (2019)