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Merlin: Enabling Machine Learning-Ready HPC Ensembles., , , , , , , , , and 11 other author(s). CoRR, (2019)Adaptive neighbor connection for PRMs: A natural fit for heterogeneous environments and parallelism., , , and . IROS, page 1249-1256. IEEE, (2013)Scalable Composition and Analysis Techniques for Massive Scientific Workflows., , , , , , , , , and 3 other author(s). e-Science, page 32-43. IEEE, (2022)Parallelizing Graph Neural Networks via Matrix Compaction for Edge-Conditioned Networks., , , , , and . CCGRID, page 386-395. IEEE, (2022)Enabling rapid COVID-19 small molecule drug design through scalable deep learning of generative models., , , , , , , , , and 2 other author(s). Int. J. High Perform. Comput. Appl., (2021)Enabling machine learning-ready HPC ensembles with Merlin., , , , , , , , , and 10 other author(s). Future Gener. Comput. Syst., (2022)Using Load Balancing to Scalably Parallelize Sampling-Based Motion Planning Algorithms., , , , and . IPDPS, page 573-582. IEEE Computer Society, (2014)Towards Scalable Parallel Training of Deep Neural Networks., , , and . MLHPC@SC, page 5:1-5:9. ACM, (2017)A scalable method for parallelizing sampling-based motion planning algorithms., , , , , and . ICRA, page 2529-2536. IEEE, (2012)Graph-based clustering for detecting frequent patterns in event log data., , , and . CASE, page 972-977. IEEE, (2016)