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A Methodology to Generate Efficient Neural Networks for Classification of Scientific Datasets.

, , , , , , , , and . e-Science, page 389-390. IEEE, (2022)

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On the Power of Combiner Optimizations in MapReduce Over MPI Workflows., , , , , , and . ICPADS, page 441-448. IEEE, (2018)A lightweight method for evaluating in situ workflow efficiency., , , , , , , , and . J. Comput. Sci., (2021)AI4IO: A suite of AI-based tools for IO-aware scheduling., , , and . Int. J. High Perform. Comput. Appl., 36 (3): 370-387 (2022)EduHPC Lightning Talk Summary., , , , , , , , , and 7 other author(s). SC Workshops, page 374-378. ACM, (2023)Studying Latency and Throughput Constraints for Geo-Distributed Data in the National Science Data Fabric., , , , , and . HPDC, page 325-326. ACM, (2023)NSDF-FUSE: A Testbed for Studying Object Storage via FUSE File Systems., , , , , , and . HPDC, page 277-278. ACM, (2022)Empirical Study of Molecular Dynamics Workflow Data Movement: DYAD vs. Traditional I/O Systems., , , , , , , and . IPDPS (Workshops), page 543-553. IEEE, (2024)CanarIO: Sounding the Alarm on IO-Related Performance Degradation., , , , and . IPDPS, page 73-83. IEEE, (2020)Session details: Reliability and Variability.. HPDC, ACM, (2019)Co-scheduling Ensembles of In Situ Workflows., , , , , , and . WORKS@SC, page 43-51. IEEE, (2022)