Extending the Generality of Molecular Dynamics Simulations on a Special-Purpose Machine

Abstract

Special-purpose computing hardware can provide significantly better performance and power efficiency for certain applications than general-purpose processors. Even within a single application area, however, a special-purpose machine can be far more valuable if it is capable of efficiently supporting a number of different computational methods that, taken together, expand the machine's functionality and range of applicability. We have previously described a massively parallel special-purpose supercomputer, called Anton, and have shown that it executes traditional molecular dynamics simulations orders of magnitude faster than the previous state of the art. Here, we describe how we extended Anton's software to support a more diverse set of methods, allowing scientists to simulate a broader class of biological phenomena at extremely high speeds. Key elements of our approach, which exploits Anton's tightly integrated hardwired pipelines and programmable cores, are applicable to the hardware and software design of various other specialized or heterogeneous parallel computing platforms.

DOI: 10.1109/IPDPS.2013.93

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Cite this paper

@article{Scarpazza2013ExtendingTG, title={Extending the Generality of Molecular Dynamics Simulations on a Special-Purpose Machine}, author={Daniele Paolo Scarpazza and Doug Ierardi and Adam K. Lerer and Kenneth M. Mackenzie and Albert C. Pan and Joseph A. Bank and Edmond Chow and Ron O. Dror and J. P. Grossman and Daniel Killebrew and Mark A. Moraes and Cristian Predescu and John K. Salmon and David E. Shaw}, journal={2013 IEEE 27th International Symposium on Parallel and Distributed Processing}, year={2013}, pages={933-945} }