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Issue No. 03 - May/June (2011 vol. 31)
ISSN: 0272-1732
pp: 8-19
John K. Salmon , D.E. Shaw Research
Martin M. Deneroff , D.E. Shaw Research
Edmond Chow , D.E. Shaw Research
J.P. Grossman , D.E. Shaw Research
Kenneth M. Mackenzie , D.E. Shaw Research
Cliff Young , D.E. Shaw Research
Joseph A. Bank , D.E. Shaw Research
Ron O. Dror , D.E. Shaw Research
Brian Towles , D.E. Shaw Research
Brannon Batson , D.E. Shaw Research
Jeffrey S. Kuskin , D.E. Shaw Research
Mark A. Moraes , D.E. Shaw Research
David E. Shaw , D.E. Shaw Research
Richard H. Larson , D.E. Shaw Research
<p>Anton, a massively parallel special-purpose machine that accelerates molecular dynamics simulations by orders of magnitude, uses a combination of specialized hardware mechanisms and restructured software algorithms to reduce and hide communication latency. Anton delivers end-to-end internode latency significantly lower than any other large-scale parallel machine, and its critical-path communication time for molecular dynamics simulations is less than 3 percent that of the next-fastest platform.</p>
Data communications, interprocessor communications, multiprocessor systems, network communication, parallel systems, special-purpose hardware, Anton
John K. Salmon, Martin M. Deneroff, Edmond Chow, J.P. Grossman, Kenneth M. Mackenzie, Cliff Young, Joseph A. Bank, Ron O. Dror, Brian Towles, Brannon Batson, Jeffrey S. Kuskin, Mark A. Moraes, David E. Shaw, Richard H. Larson, "Overcoming Communication Latency Barriers in Massively Parallel Scientific Computation", IEEE Micro, vol. 31, no. , pp. 8-19, May/June 2011, doi:10.1109/MM.2011.38
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