Runtime Steering of Molecular Dynamics Simulations Through In Situ Analysis and Annotation of Collective Variables

Author:

Caino-Lores Silvina1ORCID,Cuendet Michel23ORCID,Marquez Jack1ORCID,Kots Ekaterina4ORCID,Estrada Trilce5ORCID,Deelman Ewa6ORCID,Weinstein Harel4ORCID,Taufer Michela1ORCID

Affiliation:

1. University of Tennessee, Knoxville, United States of America

2. Swiss Institute of Bioinformatics, Lausanne, Switzerland

3. Cornell University, Lausanne, Switzerland

4. Cornell University, New York, United States of America

5. University of New Mexico, Albuquerque, United States of America

6. University of Southern California, Marina del Rey, United States of America

Funder

National Science Foundation

Oak Ridge Leadership Computing Facility

Publisher

ACM

Reference52 articles.

1. GROMACS: High performance molecular simulations through multi-level parallelism from laptops to supercomputers

2. [n. d.] ACCESS: Advanced CI Coordination Ecosystem: Services Support. https://access-ci.org/. Online ; accessed 23 December 2022 . (). [n. d.] ACCESS: Advanced CI Coordination Ecosystem: Services Support. https://access-ci.org/. Online; accessed 23 December 2022. ().

3. Essential dynamics of proteins

4. Adaptive Ensemble Biomolecular Applications at Scale

5. Janine C Bennett et al. 2012. Combining in-situ and in-transit processing to enable extreme-scale scientific analysis . In Proc. of the International Conference on High Performance Computing, Networking, Storage and Analysis (SC). Janine C Bennett et al. 2012. Combining in-situ and in-transit processing to enable extreme-scale scientific analysis. In Proc. of the International Conference on High Performance Computing, Networking, Storage and Analysis (SC).

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