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Cited by 817

The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.

Anton, a special-purpose machine for molecular dynamics simulation

Open access
Shaw, David E., Deneroff, Martin M., Dror, Ron O., Kuskin, Jeffrey S., Larson, Richard H., Salmon, John K., Young, Cliff, Batson, Brannon, Bowers, Kevin J., Chao, Jack C., Eastwood, Michael P., Gagliardo, Joseph, Grossman, J. P., Ho, C. Richard, Ierardi, Douglas J., Kolossváry, István, Klepeis, John L., Layman, Timothy, McLeavey, Christine, Moraes, Mark A., Mueller, Rolf, Priest, Edward C., Shan, Yibing, Spengler, Jochen, Theobald, Michael, Towles, Brian, Wang, Stanley C.·2008·Communications of the ACM

Abstract

The ability to perform long, accurate molecular dynamics (MD) simulations involving proteins and other biological macro-molecules could in principle provide answers to some of the most important currently outstanding questions in the fields of biology, chemistry, and medicine. A wide range of biologically interesting phenomena, however, occur over timescales on the order of a millisecond---several orders of magnitude beyond the duration of the longest current MD simulations. We describe a massively parallel machine called Anton, which should be capable of executing millisecond-scale classical MD simulations of such biomolecular systems. The machine, which is scheduled for completion by the end of 2008, is based on 512 identical MD-specific ASICs that interact in a tightly coupled manner using a specialized highspeed communication network. Anton has been designed to use both novel parallel algorithms and special-purpose logic to dramatically accelerate those calculations that dominate the time required for a typical MD simulation. The remainder of the simulation algorithm is executed by a programmable portion of each chip that achieves a substantial degree of parallelism while preserving the flexibility necessary to accommodate anticipated advances in physical models and simulation methods.

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Metadata

Authors
Shaw, D. E., Deneroff, M. M., Dror, R. O., Kuskin, J. S., Larson, R. H., Salmon, J. K., Young, C., Batson, B., Bowers, K. J., Chao, J. C., Eastwood, M. P., Gagliardo, J., Grossman, J. P., Ho, C. R., Ierardi, D. J., Kolossváry, I., Klepeis, J. L., Layman, T., McLeavey, C., Moraes, M. A., Mueller, R., Priest, E. C., Shan, Y., Spengler, J., Theobald, M., Towles, B., & Wang, S. C.
Venue
Communications of the ACM
Published
2008-07
Volume
51
Issue
7
Pages
91-97
ISSN
  • 0001-0782 (ISSN-L)
  • 1557-7317
OpenAlex
W2028263411
Cited by
817
References
22
FWCI
54.51
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Anton, a special-purpose machine for molecular dynamics simulation. https://app.cochat.ai/papers/10.1145/1364782.1364802
The paper
Shaw, D. E., Deneroff, M. M., Dror, R. O., Kuskin, J. S., Larson, R. H., Salmon, J. K., Young, C., Batson, B., Bowers, K. J., Chao, J. C., Eastwood, M. P., Gagliardo, J., Grossman, J. P., Ho, C. R., Ierardi, D. J., Kolossváry, I., Klepeis, J. L., Layman, T., McLeavey, C., . . . Wang, S. C. (2008). Anton, a special-purpose machine for molecular dynamics simulation. Communications of the ACM. https://doi.org/10.1145/1364782.1364802

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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.