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Using cross-layer adaptations for dynamic data management in large scale coupled scientific workflows.

, , , , , , , , and . SC, page 74:1-74:12. ACM, (2013)

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Comparing Time-to-Solution for In Situ Visualization Paradigms at Scale., , , , , , , , and . LDAV, page 22-26. IEEE, (2020)zMesh: Exploring Application Characteristics to Improve Lossy Compression Ratio for Adaptive Mesh Refinement., , , , , and . IPDPS, page 402-411. IEEE, (2021)Scientific Workflows: More e-Science Mileage from Cyberinfrastructure, , , and . e-Science and Grid Computing, International Conference on, (2006)Characterizing output bottlenecks in a supercomputer., , , , , , and . SC, page 8. IEEE/ACM, (2012)Workflows in a secure environment, and . Distributed and Parallel Systems, (2008)In Situ Analysis and Visualization of Fusion Simulations: Lessons Learned., , , , , , , , , and 8 other author(s). ISC Workshops, volume 11203 of Lecture Notes in Computer Science, page 230-242. Springer, (2018)Transparent in Situ Data Transformations in ADIOS., , , , , , , , , and . CCGRID, page 256-266. IEEE Computer Society, (2014)Dataflow parallel database systems and LOGFLOW., and . PDP, page 382-388. IEEE Computer Society, (1998)Enabling Advanced Visualization Tools in a Web-Based Simulation Monitoring System., , , , , , , , , and 1 other author(s). eScience, page 358-365. IEEE Computer Society, (2009)Scientific Workflows: More e-Science Mileage from Cyberinfrastructure., , , and . e-Science, page 145. IEEE Computer Society, (2006)