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Performance Characterization of Scientific Workflows for the Optimal Use of Burst Buffers.

, , , , , and . WORKS@SC, volume 1800 of CEUR Workshop Proceedings, page 69-73. CEUR-WS.org, (2016)

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MaDaTS: Managing Data on Tiered Storage for Scientific Workflows., and . HPDC, page 41-52. ACM, (2017)Regenerating and Quantifying Quality of Benchmarking Data Using Static and Dynamic Provenance., , and . IPAW, volume 8628 of Lecture Notes in Computer Science, page 56-67. Springer, (2014)Dac-Man: data change management for scientific datasets on HPC systems., , and . SC, page 72:1-72:13. IEEE / ACM, (2018)E-HPC: a library for elastic resource management in HPC environments., , , , and . WORKS@SC, page 1:1-1:11. ACM, (2017)Study in Usefulness of Middleware-Only Provenance., , and . eScience, page 215-222. IEEE Computer Society, (2014)Bringing Data Science to Qualitative Analysis., , , and . eScience, page 325-326. IEEE Computer Society, (2018)Tigres Workflow Library: Supporting Scientific Pipelines on HPC Systems., , , and . CCGrid, page 146-155. IEEE Computer Society, (2016)ASA - The Adaptive Scheduling Architecture., , , , and . HPDC, page 161-165. ACM, (2020)Science Capsule - Capturing the Data Life Cycle., , , , , and . J. Open Source Softw., 6 (62): 2484 (2021)Towards Interactive, Reproducible Analytics at Scale on HPC Systems., , , , , , , , and . UrgentHPC@SC, page 47-54. IEEE, (2020)