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Dynamic Task Shaping for High Throughput Data Analysis Applications in High Energy Physics.

, , , , , and . IPDPS, page 346-356. IEEE, (2022)

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Environmentally Opportunistic Computing., , , and . Handbook of Energy-Aware and Green Computing, Chapman and Hall/CRC, (2012)Adapting bioinformatics applications for heterogeneous systems: a case study., , , and . Concurr. Comput. Pract. Exp., 26 (4): 866-877 (2014)Balancing push and pull in Confuga, an active storage cluster file system for scientific workflows., and . Concurr. Comput. Pract. Exp., (2017)AWE-WQ: Fast-Forwarding Molecular Dynamics Using the Accelerated Weighted Ensemble., , , , , , and . Journal of Chemical Information and Modeling, 54 (10): 3033-3043 (2014)ROARS: a scalable repository for data intensive scientific computing., , , and . HPDC, page 766-775. ACM, (2010)Design of an active storage cluster file system for DAG workflows., and . DISCS@SC, page 37-42. ACM, (2013)Reproducibility in Scientific Computing., and . ACM Comput. Surv., 51 (3): 63:1-63:36 (2018)Not All Tasks Are Created Equal: Adaptive Resource Allocation for Heterogeneous Tasks in Dynamic Workflows., , , and . WORKS, page 17-24. IEEE, (2021)A Job Sizing Strategy for High-Throughput Scientific Workflows., , , , , , and . IEEE Trans. Parallel Distributed Syst., 29 (2): 240-253 (2018)Combining Static and Dynamic Storage Management for Data Intensive Scientific Workflows., , , , , , and . IEEE Trans. Parallel Distributed Syst., 29 (2): 338-350 (2018)