Miron Livny
Affiliations: | University of Wisconsin, Madison, Madison, WI |
Area:
Computer ScienceGoogle:
"Miron Livny"Children
Sign in to add traineeJames A. Basney | grad student | 2001 | UW Madison |
Douglas L. Thain | grad student | 2004 | UW Madison |
Tevfik Kosar | grad student | 2005 | UW Madison |
Sechang Son | grad student | 2006 | UW Madison |
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Publications
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Kuusisto F, Ng D, Steill J, et al. (2020) KinderMiner Web: a simple web tool for ranking pairwise associations in biomedical applications F1000research. 9: 832 |
Bockelman B, Livny M, Lin B, et al. (2020) Principles, Technologies, and Time: The Translational Journey of the HTCondor-CE Journal of Computational Science. 101213 |
Albrecht J, Alves AA, Amadio G, et al. (2019) A Roadmap for HEP Software and Computing R&D for the 2020s Arxiv: Computational Physics. 3: 7 |
Ulrich EL, Baskaran K, Dashti H, et al. (2018) NMR-STAR: comprehensive ontology for representing, archiving and exchanging data from nuclear magnetic resonance spectroscopic experiments. Journal of Biomolecular Nmr |
Tovar B, da Silva RF, Juve G, et al. (2018) A Job Sizing Strategy for High-Throughput Scientific Workflows Ieee Transactions On Parallel and Distributed Systems. 29: 240-253 |
Maciejewski MW, Schuyler AD, Gryk MR, et al. (2017) NMRbox: A Resource for Biomolecular NMR Computation. Biophysical Journal. 112: 1529-1534 |
Peters S, Ross I, Czaplewski J, et al. (2017) A New Tool for Deep-Down Data Mining Eos |
Yokochi M, Kobayashi N, Ulrich EL, et al. (2016) Publication of nuclear magnetic resonance experimental data with semantic web technology and the application thereof to biomedical research of proteins. Journal of Biomedical Semantics. 7: 16 |
Da Silva RF, Juve G, Rynge M, et al. (2015) Online Task Resource Consumption Prediction for Scientific Workflows Parallel Processing Letters. 25 |
Kosar T, Kola G, Livny M. (2015) A framework for self-optimizing, fault-tolerant, high performance bulk data transfers in a heterogeneous grid environment Proceedings - 2nd International Symposium On Parallel and Distributed Computing, Ispdc 2003. 137-144 |