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NEKTAR, SPICE and Vortonics: using federated grids for large scale scientific applications., , , , , , and . CLADE, page 34-42. IEEE Computer Society, (2006)Exploring the Performance Fluctuations of HPC Workloads on Clouds., , , and . CloudCom, page 383-387. IEEE Computer Society, (2010)Big Data, Simulations and HPC Convergence., , , , and . WBDB, volume 10044 of Lecture Notes in Computer Science, page 3-17. Springer, (2015)Conceptualizing a Computing Platform for Science Beyond 2020: To Cloudify HPC, or HPCify Clouds?, and . CLOUD, page 808-810. IEEE Computer Society, (2017)Efficient Runtime Environment for Coupled Multi-physics Simulations: Dynamic Resource Allocation and Load-Balancing., , , , and . CCGRID, page 349-358. IEEE Computer Society, (2010)Towards Exascale Computing for High Energy Physics: The ATLAS Experience at ORNL., , , , , , , , , and 3 other author(s). eScience, page 341-342. IEEE Computer Society, (2018)ExTASY: Scalable and flexible coupling of MD simulations and advanced sampling techniques., , , , , , , and . eScience, page 361-370. IEEE Computer Society, (2016)Building gateways for life-science applications using the dynamic application runtime environment (DARE) framework., , and . TG, page 38:1-38:8. ACM, (2011)RAPTOR: Ravenous Throughput Computing., , and . CCGRID, page 595-604. IEEE, (2022)GRENDL: grid enabled distribution and control for Laptop Orchestras., , , , and . SIGGRAPH Posters, page 84:1. ACM, (2010)