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Accelerating Scientific Workflows on HPC Platforms with In Situ Processing., , , , , , and . CCGRID, page 1-10. IEEE, (2022)Dynamic Heterogeneous Task Specification and Execution for In Situ Workflows., , , and . WORKS, page 25-32. IEEE, (2021)Heterogeneous Hierarchical Workflow Composition., , , , , and . Comput. Sci. Eng., 21 (4): 76-86 (2019)Spark-DIY: A Framework for Interoperable Spark Operations with High Performance Block-Based Data Models., , , , and . BDCAT, page 1-10. IEEE Computer Society, (2018)The challenges of elastic in situ analysis and visualization., , , and . ISAV@SC, page 23-28. ACM, (2019)Towards Low-Overhead Resilience for Data Parallel Deep Learning., , , , and . CCGRID, page 336-345. IEEE, (2022)Automated Continual Learning of Defect Identification in Coherent Diffraction Imaging., , , , , , , and . AI4S, page 1-6. IEEE, (2022)Toward High-Performance Computing and Big Data Analytics Convergence: The Case of Spark-DIY., , , , and . IEEE Access, (2019)LowFive: In Situ Data Transport for High-Performance Workflows., , , , , and . IPDPS, page 985-995. IEEE, (2023)Shared-Memory Communication for Containerized Workflows., , , , and . CCGRID, page 123-132. IEEE, (2021)