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Enabling Extremely Fine-grained Parallelism via Scalable Concurrent Queues on Modern Many-core Architectures., , , , and . MASCOTS, page 1-8. IEEE, (2021)Cloud-based bioinformatics workflow platform for large-scale next-generation sequencing analyses., , , , , , , , and . J. Biomed. Informatics, (2014)Computing environments for reproducibility: Capturing the "Whole Tale"., , , , , , , , , and 4 other author(s). Future Gener. Comput. Syst., (2019)Data Station: Delegated, Trustworthy, and Auditable Computation to Enable Data-Sharing Consortia with a Data Escrow., , , , , , , , , and . CoRR, (2023)DLHub: Simplifying publication, discovery, and use of machine learning models in science., , , , , , , , , and 1 other author(s). J. Parallel Distributed Comput., (2021)Deep Neural Network Training With Distributed K-FAC., , , , , and . IEEE Trans. Parallel Distributed Syst., 33 (12): 3616-3627 (2022)$f$funcX: Federated Function as a Service for Science., , , , , , , , , and 2 other author(s). IEEE Trans. Parallel Distributed Syst., 33 (12): 4948-4963 (2022)Greedy Nominator Heuristic: Virtual function placement on fog resources., , and . Concurr. Comput. Pract. Exp., (2022)On Replica Placement in a Social CDN for e-Science., , , and . eScience, page 13-20. IEEE Computer Society, (2014)Can Automated Metadata Extraction Make Scientific Data More Navigable?, , and . e-Science, page 1-10. IEEE, (2023)