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Smoky Mountain Data Challenge 2020: An Open Call to Solve Data Problems in the Areas of Neutron Science, Material Science, Urban Modeling and Dynamics, Geophysics, and Biomedical Informatics., , , , , , , , , and 12 other author(s). SMC, volume 1315 of Communications in Computer and Information Science, page 425-442. Springer, (2020)Improving Multisite Workflow Performance Using Model-Based Scheduling., , , , and . ICPP, page 131-140. IEEE Computer Society, (2014)Evaluating storage systems for scientific data in the cloud., , , , , , and . ScienceCloud@HPDC, page 33-40. ACM, (2014)FACE-IT: a science gateway for food security research., , , , , , , , , and 2 other author(s). GCE@SC, page 42-46. IEEE, (2014)Turbine: a distributed-memory dataflow engine for extreme-scale many-task applications., , , , , , and . SWEET@SIGMOD, page 5. ACM, (2012)Coasters: Uniform Resource Provisioning and Access for Clouds and Grids., , and . UCC, page 114-121. IEEE Computer Society, (2011)Model-driven multisite workflow scheduling., , , , and . CLUSTER, page 1-5. IEEE Computer Society, (2013)Porting Ordinary Applications to Blue Gene/Q Supercomputers., , , , , , , , and . e-Science, page 420-428. IEEE Computer Society, (2015)ExaWorks Software Development Kit: A Robust and Scalable Collection of Interoperable Workflow Technologies., , , , , , , , , and 6 other author(s). CoRR, (2024)Interlanguage parallel scripting for distributed-memory scientific computing., , , , , and . WORKS@SC, page 6:1-6:11. ACM, (2015)