Miron Livny

Affiliations: 
University of Wisconsin, Madison, Madison, WI 
Area:
Computer Science
Google:
"Miron Livny"

Children

Sign in to add trainee
James 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
BETA: Related publications

Publications

You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

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
See more...