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Coupling Exascale Multiphysics Applications: Methods and Lessons Learned., , , , , , , , , and 27 other author(s). eScience, page 442-452. IEEE Computer Society, (2018)Using Intel Optane Devices for In-situ Data Staging in HPC Workflows., , , , and . CoRR, (2018)Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales., , , , , , , , , and 20 other author(s). Euro-Par, volume 10417 of Lecture Notes in Computer Science, page 3-19. Springer, (2017)Stacker: an autonomic data movement engine for extreme-scale data staging-based in-situ workflows., , , , , and . SC, page 73:1-73:11. IEEE / ACM, (2018)Towards a Smart, Internet-Scale Cache Service for Data Intensive Scientific Applications., , , , , , and . ScienceCloud@HPDC, page 11-18. ACM, (2019)Adaptive Placement of Data Analysis Tasks For Staging Based In-Situ Processing., , , , and . HiPC, page 242-251. IEEE, (2021)Scalable Data Resilience for In-memory Data Staging., , , , , , and . IPDPS, page 105-115. IEEE Computer Society, (2018)Scalable Parallelization of a Markov Coalescent Genealogy Sampler., , , and . IPDPS Workshops, page 293-302. IEEE Computer Society, (2017)Leveraging Machine Learning for Anticipatory Data Delivery in Extreme Scale In-situ Workflows., , and . CLUSTER, page 1-11. IEEE, (2019)Addressing data resiliency for staging based scientific workflows., , , and . SC, page 87:1-87:22. ACM, (2019)