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DTSTART;TZID=America/Denver:20231114T153000
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UID:submissions.supercomputing.org_SC23_sess316_misc155@linklings.com
SUMMARY:Progress Since the Presentation of “Millisecond-Scale Molecular Dy
 namics Simulations on Anton” at SC09
DESCRIPTION:David E. Shaw, Ron O. Dror, John K. Salmon, J. P. Grossman, Ke
 nneth M. Mackenzie, Joseph A. Bank, Cliff Young, Martin M. Deneroff, Brann
 on Batson, Kevin J. Bowers, Edmond Chow, Michael P. Eastwood, Douglas J. I
 erardi, John L. Klepeis, Jeffrey S. Kuskin, Richard H. Larson, Kreston Lin
 dorff-Larsen, Paul Maragakis, Mark A. Moraes, Stefano Piana, Yibing Shan, 
 and Brian Towles\n\nIn 2009, we presented a paper at SC09 reporting on the
  design, construction, and use of Anton 1, a special-purpose supercomputer
  designed for molecular dynamics (MD) simulations of biomolecular systems.
   The machine’s specialized hardware dramatically increased the speed of M
 D calculations, making possible for the first time the simulation of biolo
 gical molecules at an atomic level of detail for periods on the order of a
  millisecond -- about two orders of magnitude beyond the previous state of
  the art.  This enabled biomolecular simulations on a timescale at which m
 any critically important, but poorly understood phenomena were known to oc
 cur, allowing the observation of biological phenomena that were previously
  inaccessible to both computational and experimental study.\n\nThe followi
 ng year, we published a paper in the journal <i>Science</i> that reported 
 on our use of Anton 1 to answer longstanding fundamental questions regardi
 ng the nature of protein folding and other large-scale structural changes 
 in proteins.  Some of our results were derived from an Anton 1 simulation 
 roughly 100 times longer than the longest simulation that had previously b
 een reported.\n\nOver the past 10 years, we have developed and deployed tw
 o further generations of the Anton supercomputer.  Anton 3 is dramatically
  faster than Anton 1, and capable of efficiently handling far larger molec
 ular systems.  Although general-purpose supercomputers have also become mu
 ch faster over that period, the performance gap between Anton and general-
 purpose supercomputers has grown over time -- to a factor of more than 400
  for biomolecular systems in a size range of considerable interest within 
 the research and drug discovery communities.\n\nIn 2010, we made an Anton 
 1 machine (later upgraded to an Anton 2) available without cost for noncom
 mercial research use by universities and other nonprofit institutions.  An
 ton time is allocated annually by the National Academies, and a total of 2
 39 outside research groups have thus far conducted independent research pr
 ojects on these machines.\n\nAt D. E. Shaw Research, we have continued usi
 ng Anton machines both for fundamental research and for internal and colla
 borative drug discovery, yielding six drugs that are currently in human cl
 inical trials.  \n\nThis talk will review the contents of our original pap
 er and related progress since its publication.\n\nTag: Applications, Archi
 tecture and Networks, Codesign\n\nRegistration Category: Tech Program Reg 
 Pass, Workshop Reg Pass\n\nSession Chair: Daniel A. Reed (University of Ut
 ah)\n\n
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