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Portable and Reusable Deep Learning Infrastructure with Containers to Accelerate Cancer Studies.

, , , , , и . ESPM2@SC, стр. 54-61. IEEE, (2018)

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Jonathan Roth

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Jonathan Burmeister

 

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Large-Scale Agent-Based Modeling with Repast HPC: A Case Study in Parallelizing an Agent-Based Model., , и . Euro-Par Workshops, том 9523 из Lecture Notes in Computer Science, стр. 454-465. Springer, (2015)A Community Roadmap for Scientific Workflows Research and Development., , , , , , , , , и 19 other автор(ы). WORKS, стр. 81-90. IEEE, (2021)Developing Distributed High-performance Computing Capabilities of an Open Science Platform for Robust Epidemic Analysis., , , , , , , , и . IPDPS Workshops, стр. 868-877. IEEE, (2023)Modeling an Information-based Community Health Intervention on the South Side of Chicago., , , , , , и . WSC, стр. 2600-2611. IEEE, (2018)CANDLE/Supervisor: a workflow framework for machine learning applied to cancer research., , , , , , , , , и 3 other автор(ы). BMC Bioinform., 19-S (18): 59-69 (2018)Portable and Reusable Deep Learning Infrastructure with Containers to Accelerate Cancer Studies., , , , , и . ESPM2@SC, стр. 54-61. IEEE, (2018)Experiences in Developing a Distributed Agent-based Modeling Toolkit with Python., , и . PyHPC@SC, стр. 1-12. IEEE, (2020)Application of Distributed Agent-based Modeling to Investigate Opioid Use Outcomes in Justice Involved Populations., , , , , , , , , и . IPDPS Workshops, стр. 989-997. IEEE, (2021)Adaptive Simulation with Repast Simphony and Swift., , , и . Euro-Par Workshops (1), том 8805 из Lecture Notes in Computer Science, стр. 418-429. Springer, (2014)Trajectory-Oriented Optimization of Stochastic Epidemiological Models., , , , , и . WSC, стр. 1244-1255. IEEE, (2023)