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Anton, a special-purpose machine for molecular dynamics simulation
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Communications of the ACM archive
Volume 51 ,  Issue 7  (July 2008) table of contents
Web science
SECTION: Research highlights table of contents
Pages 91-97  
Year of Publication: 2008
ISSN:0001-0782
Authors
David E. Shaw  D.E. Shaw Research, New York, NY and Columbia University, New York, NY
Martin M. Deneroff  D.E. Shaw Research, New York, NY
Ron O. Dror  D.E. Shaw Research, New York, NY
Jeffrey S. Kuskin  D.E. Shaw Research, New York, NY
Richard H. Larson  D.E. Shaw Research, New York, NY
John K. Salmon  D.E. Shaw Research, New York, NY
Cliff Young  D.E. Shaw Research, New York, NY
Brannon Batson  D.E. Shaw Research, New York, NY
Kevin J. Bowers  D.E. Shaw Research, New York, NY
Jack C. Chao  D.E. Shaw Research, New York, NY
Michael P. Eastwood  D.E. Shaw Research, New York, NY
Joseph Gagliardo  D.E. Shaw Research, New York, NY
J. P. Grossman  D.E. Shaw Research, New York, NY
C. Richard Ho  D.E. Shaw Research, New York, NY
Douglas J. Ierardi  D.E. Shaw Research, New York, NY
István Kolossváry  D.E. Shaw Research, New York, NY
John L. Klepeis  D.E. Shaw Research, New York, NY
Timothy Layman  D.E. Shaw Research, New York, NY
Christine McLeavey  D.E. Shaw Research, New York, NY
Mark A. Moraes  D.E. Shaw Research, New York, NY
Rolf Mueller  D.E. Shaw Research, New York, NY
Edward C. Priest  D.E. Shaw Research, New York, NY
Yibing Shan  D.E. Shaw Research, New York, NY
Jochen Spengler  D.E. Shaw Research, New York, NY
Michael Theobald  D.E. Shaw Research, New York, NY
Brian Towles  D.E. Shaw Research, New York, NY
Stanley C. Wang  D.E. Shaw Research, New York, NY
Publisher
ACM  New York, NY, USA
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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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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