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ActiveSpaces: Exploring dynamic code deployment for extreme scale data processing., , , , , , , , and . Concurr. Comput. Pract. Exp., 27 (14): 3724-3745 (2015)ISABELA for effective in situ compression of scientific data., , , , , , , , and . Concurr. Comput. Pract. Exp., 25 (4): 524-540 (2013)Understanding the Impact of Data Staging for Coupled Scientific Workflows., , , , , , , , and . IEEE Trans. Parallel Distributed Syst., 33 (10): 4134-4147 (2022)In Situ Methods, Infrastructures, and Applications on High Performance Computing Platforms., , , , , , , , , and 1 other author(s). Comput. Graph. Forum, 35 (3): 577-597 (2016)Driving Next-Generation Workflows from the Data Plane., , , and . e-Science, page 1-10. IEEE, (2023)Online and Scalable Data Compression Pipeline with Guarantees on Quantities of Interest., , , , , , , , and . e-Science, page 1-10. IEEE, (2023)Running Ensemble Workflows at Extreme Scale: Lessons Learned and Path Forward., , , , , , and . e-Science, page 284-294. IEEE, (2022)Parallel in situ indexing for data-intensive computing., , , , , , , , and . LDAV, page 65-72. IEEE Computer Society, (2011)MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring., , , , , , , , , and 6 other author(s). CoRR, (2024)Towards Real-Time Detection and Tracking of Blob-Filaments in Fusion Plasma Big Data., , , , , , , and . CoRR, (2015)