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Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model., , , , , , , , , and 5 other author(s). NeurIPS, page 5460-5473. (2019)The Petascale DTN Project: High Performance Data Transfer for HPC Facilities., , , , , , , , , and 6 other author(s). CoRR, (2021)High-level GPU code: a case study examining JAX and OpenMP., , , , , and . SC Workshops, page 1105-1113. ACM, (2023)Interactive Distributed Deep Learning with Jupyter Notebooks., , , , , , , , , and . ISC Workshops, volume 11203 of Lecture Notes in Computer Science, page 678-687. Springer, (2018)A Pattern Recognition Algorithm for Quantum Annealers., , , , , , and . Comput. Softw. Big Sci., (December 2020)Architectural Requirements for Deep Learning Workloads in HPC Environments., , , , , , , , and . PMBS, page 7-17. IEEE, (2021)A pattern recognition algorithm for quantum annealers, , , , , and . (2019)cite arxiv:1902.08324.Revealing Fundamental Physics from the Daya Bay Neutrino Experiment Using Deep Neural Networks., , , , , , , and . ICMLA, page 892-897. IEEE Computer Society, (2016)Etalumis: bringing probabilistic programming to scientific simulators at scale., , , , , , , , , and 7 other author(s). SC, page 29:1-29:24. ACM, (2019)