2008
DOI: 10.1145/1364782.1364802
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Anton, a special-purpose machine for molecular dynamics simulation

Abstract: The ability to perform long, accurate molecular dynamics (MD) simulations involving proteins and other biological macromolecules 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 machi… Show more

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Cited by 725 publications
(458 citation statements)
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References 28 publications
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“…This is due to several limitations, primarily the large size of the systems, computational costs and short time scales involved. Various approaches can overcome the limitations related to the nano-to millisecond time scales of early events in many biological processes, such as enhanced sampling methods with free energy calculations [124], the support of massively parallel supercomputers [125] or coarse-graining models [126,127]. This allows for the investigation of larger systems and global conformational phenomena [126,127], which could be further translated to cellular networks.…”
Section: Structural Biologymentioning
confidence: 99%
“…This is due to several limitations, primarily the large size of the systems, computational costs and short time scales involved. Various approaches can overcome the limitations related to the nano-to millisecond time scales of early events in many biological processes, such as enhanced sampling methods with free energy calculations [124], the support of massively parallel supercomputers [125] or coarse-graining models [126,127]. This allows for the investigation of larger systems and global conformational phenomena [126,127], which could be further translated to cellular networks.…”
Section: Structural Biologymentioning
confidence: 99%
“…Some hardware or operating system scales better with certain memory-intensive operations or multi-threading than others, not to mention all specialized hardware that might come into play, e.g., as in [173,209,213,253,287]. Nowadays, classical complexity theory even fails to predict the fastest algorithm for well-researched problems, such as sorting [191].…”
Section: Analytical Algorithm Selectionmentioning
confidence: 99%
“…They find that cache sizes and the number of CPU registers correlate heavily with the optimal matrix size for each multiplication algorithm. Apart from the impact that hardware has even on rather simple algorithms, new simulation approaches may also exploit specialized hardware that is not always available [253,280,287].…”
Section: Entitiesmentioning
confidence: 99%
“…[23][24][25][26] Finally, the applications presented here require relatively short MD simulations. The choice of 5-ns long MD simulations was actually an arbitrary one, which we considered a good compromise between computational efficiency and sufficient relaxation of the structures, allowing the simulation of 32 different sequences at the all-atom level of resolution.…”
Section: Accepted M Manuscriptmentioning
confidence: 99%