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The Lyman-$\alpha$ forest in optically-thin hydrodynamical simulations, , , , , and . (2014)cite arxiv:1406.6361Comment: 27 pages, 30 figures.The Zwicky Transient Facility: System Overview, Performance, and First Results, , , , , , , , , and 106 other author(s). (2019)cite arxiv:1902.01932Comment: Published in PASP Focus Issue on the Zwicky Transient Facility (https://dx.doi.org/10.1088/1538-3873/aaecbe). 21 Pages, 12 Figures.Automatic identification and classification of Palomar Transient Factory astrophysical objects in GLADE., , , and . Int. J. Comput. Sci. Eng., 16 (4): 337-349 (2018)High Energy Physics Forum for Computational Excellence: Working Group Reports (I. Applications Software II. Software Libraries and Tools III. Systems)., , , , , , , , , and 15 other author(s). CoRR, (2015)Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery., , , , , , , , , and 6 other author(s). CoRR, (2021)The Palomar transient factory., , and . Visualization and Data Analysis, volume 9397 of SPIE Proceedings, page 939702. SPIE, (2015)Using Multi-Resolution Data to Accelerate Neural Network Training in Scientific Applications., , , , , , , , and . CCGRID, page 404-413. IEEE, (2022)Asynchronous I/O Strategy for Large-Scale Deep Learning Applications., , , , , , , , , and . HiPC, page 322-331. IEEE, (2021)Implementing the Palomar Transient Factory Real-Time Detection Pipeline in GLADE: Results and Observations., , and . DNIS, volume 8381 of Lecture Notes in Computer Science, page 53-66. Springer, (2014)Parallel Variable Selection for Effective Performance Prediction., , , , and . CCGrid, page 208-217. IEEE Computer Society / ACM, (2017)