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Creating a portable, high-level graph analytics paradigm for compute and data-intensive applications.

, , , , and . IJHPCN, 13 (1): 105-118 (2019)

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On the Power of Combiner Optimizations in MapReduce Over MPI Workflows., , , , , , and . ICPADS, page 441-448. IEEE, (2018)VPIC 2.0: Next Generation Particle-in-Cell Simulations., , , , , and . IEEE Trans. Parallel Distributed Syst., 33 (4): 952-963 (2022)Building Trust in Earth Science Findings through Data Traceability and Results Explainability., , , , , , and . IEEE Trans. Parallel Distributed Syst., 34 (2): 704-717 (February 2023)AI4IO: A suite of AI-based tools for IO-aware scheduling., , , and . Int. J. High Perform. Comput. Appl., 36 (3): 370-387 (2022)Orchestration of materials science workflows for heterogeneous resources at large scale., , , , , , , , , and . Int. J. High Perform. Comput. Appl., 37 (3-4): 260-271 (July 2023)A lightweight method for evaluating in situ workflow efficiency., , , , , , , , and . J. Comput. Sci., (2021)Flux: Overcoming scheduling challenges for exascale workflows., , , , , , , , , and 2 other author(s). Future Gener. Comput. Syst., (2020)Recognition of Outstanding Future Generation Computer Systems Reviewers for 2022.. Future Gener. Comput. Syst., (June 2023)Building Containerized Environments for Reproducibility and Traceability of Scientific Workflows., , and . CoRR, (2020)Studying Latency and Throughput Constraints for Geo-Distributed Data in the National Science Data Fabric., , , , , and . HPDC, page 325-326. ACM, (2023)