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Anton, a special-purpose machine for molecular dynamics simulation
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ACM SIGARCH Computer Architecture News archive
Volume 35 ,  Issue 2  (May 2007) table of contents
SESSION: Special purpose to warehouse computers table of contents
Pages: 1 - 12  
Year of Publication: 2007
ISSN:0163-5964
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Authors
David E. Shaw  D. E. Shaw Research: LLC, New York, NY
Martin M. Deneroff  D. E. Shaw Research: LLC, New York, NY
Ron O. Dror  D. E. Shaw Research: LLC, New York, NY
Jeffrey S. Kuskin  D. E. Shaw Research: LLC, New York, NY
Richard H. Larson  D. E. Shaw Research: LLC, New York, NY
John K. Salmon  D. E. Shaw Research: LLC, New York, NY
Cliff Young  D. E. Shaw Research: LLC, New York, NY
Brannon Batson  D. E. Shaw Research: LLC, New York, NY
Kevin J. Bowers  D. E. Shaw Research: LLC, New York, NY
Jack C. Chao  D. E. Shaw Research: LLC, New York, NY
Michael P. Eastwood  D. E. Shaw Research: LLC, New York, NY
Joseph Gagliardo  D. E. Shaw Research: LLC, New York, NY
J. P. Grossman  D. E. Shaw Research: LLC, New York, NY
C. Richard Ho  D. E. Shaw Research: LLC, New York, NY
Douglas J. Ierardi  D. E. Shaw Research: LLC, New York, NY
István Kolossváry  D. E. Shaw Research: LLC, New York, NY
John L. Klepeis  D. E. Shaw Research: LLC, New York, NY
Timothy Layman  D. E. Shaw Research: LLC, New York, NY
Christine McLeavey  D. E. Shaw Research: LLC, New York, NY
Mark A. Moraes  D. E. Shaw Research: LLC, New York, NY
Rolf Mueller  D. E. Shaw Research: LLC, New York, NY
Edward C. Priest  D. E. Shaw Research: LLC, New York, NY
Yibing Shan  D. E. Shaw Research: LLC, New York, NY
Jochen Spengler  D. E. Shaw Research: LLC, New York, NY
Michael Theobald  D. E. Shaw Research: LLC, New York, NY
Brian Towles  D. E. Shaw Research: LLC, New York, NY
Stanley C. Wang  D. E. Shaw Research: LLC, 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 time scales on the order of a millisecond--about three orders of magnitude beyond the duration of the longest current MD simulations.

In this paper, 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 high-speed 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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CITED BY  6

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