Performance assessment of ensembles of in situ workflows under resource constraints
Author:
Affiliation:
1. Information Sciences Institute University of Southern California Los Angeles California USA
2. Oak Ridge National Laboratory Oak Ridge Tennessee USA
3. University of Tennessee at Knoxville Knoxville Tennessee USA
Funder
National Science Foundation of Sri Lanka
U.S. Department of Energy
Publisher
Wiley
Subject
Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.7111
Reference33 articles.
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4. Serial Generalized Ensemble Simulations of Biomolecules with Self-Consistent Determination of Weights
5. VetterJS BrightwellR GokhaleM et al.Extreme heterogeneity 2018 ‐ productive computational science in the era of extreme heterogeneity: report for DOE ASCR Workshop on Extreme Heterogeneity; 2018.
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1. Runtime Steering of Molecular Dynamics Simulations Through In Situ Analysis and Annotation of Collective Variables;Proceedings of the Platform for Advanced Scientific Computing Conference;2023-06-26
2. Co-scheduling Ensembles of In Situ Workflows;2022 IEEE/ACM Workshop on Workflows in Support of Large-Scale Science (WORKS);2022-11
3. Reproducing and Extending Analytical Performance Models of Generalized Hierarchical Scheduling;2022 IEEE 18th International Conference on e-Science (e-Science);2022-10
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