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Screen Savers of the World Unite!
Abstract
Unused CPU time on desktop computers could be put to good use, if distributed computing succeeds in capturing people's imagination. In their Perspective, Shirts and Pande describe existing distributed computing projects and recent efforts to overcome parallelization problems. This vast underused resource could raise biological and other scientific computation to fundamentally new predictive levels.
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Cited by
Abraham, M. J., Murtola, T., Schulz, R., Páll, S., Smith, J. C., Hess, B., & Lindahl, E. (2015) · SoftwareX · doi:10.1016/j.softx.2015.06.001 · Cited by 27,190
The Protein-Folding Problem, 50 Years On
Dill, K. A., & MacCallum, J. L. (2012) · Science · doi:10.1126/science.1219021 · Cited by 1,699
Dill, K. A., Ozkan, S. B., Shell, M. S., & Weikl, T. R. (2008) · Annual Review of Biophysics · doi:10.1146/annurev.biophys.37.092707.153558 · Cited by 1,163
PyEMMA 2: A Software Package for Estimation, Validation, and Analysis of Markov Models
Scherer, M. K., Trendelkamp-Schroer, B., Paul, F., Pérez-Hernández, G., Hoffmann, M., Plattner, N., Wehmeyer, C., Prinz, J.-H., & Noé, F. (2015) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.5b00743 · Cited by 1,163
Extending the Time Scale in Atomistic Simulation of Materials
Voter, A. F., Montalenti, F., & Germann, T. C. (2002) · Annual Review of Materials Research · doi:10.1146/annurev.matsci.32.112601.141541 · Cited by 700
Metadata
- Authors
- Shirts, M., & Pande, V. S.
- Venue
- Science
- Published
- 2000-12-08
- Volume
- 290
- Issue
- 5498
- Pages
- 1903-1904
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W1898130445
- Cited by
- 531
- References
- 0
- FWCI
- 15.49
- Type
- journal article
- Language
- en
- Open access
- closed
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- Shirts, M., & Pande, V. S. (2000). Screen Savers of the World Unite! Science. https://doi.org/10.1126/science.290.5498.1903
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
