Literature DB >> 19412319

Explicit Design of FPGA-Based Coprocessors for Short-Range Force Computations in Molecular Dynamics Simulations.

Yongfeng Gu1, Tom Vancourt, Martin C Herbordt.   

Abstract

FPGA-based acceleration of molecular dynamics simulations (MD) has been the subject of several recent studies. The short-range force computation, which dominates the execution time, is the primary focus. Here we combine: a high level of FPGA-specific design including cell lists, systematically determined interpolation and precision, handling of exclusion, and support for MD simulations of up to 256K particles. The target system consists of a standard PC with a 2004-era COTS FPGA board. There are several innovations: new microarchitectures for several major components, including the cell list processor and the off-chip memory controller; and a novel arithmetic mode. Extensive experimentation was required to optimize precision, interpolation order, interpolation mode, table sizes, and simulation quality. We obtain a substantial speed-up over a highly tuned production MD code.

Year:  2008        PMID: 19412319      PMCID: PMC2440579          DOI: 10.1016/j.parco.2008.01.007

Source DB:  PubMed          Journal:  Parallel Comput        ISSN: 0167-8191            Impact factor:   0.986


  3 in total

1.  Scalable molecular dynamics with NAMD.

Authors:  James C Phillips; Rosemary Braun; Wei Wang; James Gumbart; Emad Tajkhorshid; Elizabeth Villa; Christophe Chipot; Robert D Skeel; Laxmikant Kalé; Klaus Schulten
Journal:  J Comput Chem       Date:  2005-12       Impact factor: 3.376

2.  GROMACS: fast, flexible, and free.

Authors:  David Van Der Spoel; Erik Lindahl; Berk Hess; Gerrit Groenhof; Alan E Mark; Herman J C Berendsen
Journal:  J Comput Chem       Date:  2005-12       Impact factor: 3.376

3.  Molecular dynamics simulations of the complete satellite tobacco mosaic virus.

Authors:  Peter L Freddolino; Anton S Arkhipov; Steven B Larson; Alexander McPherson; Klaus Schulten
Journal:  Structure       Date:  2006-03       Impact factor: 5.006

  3 in total
  4 in total

1.  Computing Models for FPGA-Based Accelerators.

Authors:  Martin C Herbordt; Yongfeng Gu; Tom Vancourt; Josh Model; Bharat Sukhwani; Matt Chiu
Journal:  Comput Sci Eng       Date:  2008-10-17       Impact factor: 2.080

2.  Molecular Dynamics Simulations on High-Performance Reconfigurable Computing Systems.

Authors:  Matt Chiu; Martin C Herbordt
Journal:  ACM Trans Reconfigurable Technol Syst       Date:  2010-11       Impact factor: 2.085

3.  A quick guide for developing effective bioinformatics programming skills.

Authors:  Joel T Dudley; Atul J Butte
Journal:  PLoS Comput Biol       Date:  2009-12-24       Impact factor: 4.475

Review 4.  Accelerators for Classical Molecular Dynamics Simulations of Biomolecules.

Authors:  Derek Jones; Jonathan E Allen; Yue Yang; William F Drew Bennett; Maya Gokhale; Niema Moshiri; Tajana S Rosing
Journal:  J Chem Theory Comput       Date:  2022-06-16       Impact factor: 6.578

  4 in total

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