We present an optimized parallelization scheme for molecular dynamics simulations of large biomolecular systems, implemented in the production-quality molecular dynamics program NAMD. With an object-based hybrid force and spatial decomposition scheme, and an aggressive measurement-based predictive load balancing framework, we have attained speeds and speedups that are much higher than any reported in literature so far. The paper first summarizes the broad methodology we are pursuing, and the basic parallelization scheme we used. It then describes the optimizations that were instrumental in increasing performance, and presents performance results on benchmark simulations
Molecular mechanics and dynamics are becoming widely used to perform simulations of molecular system...
This paper discusses the comprehensive performance profiling, improvement, and benchmarking of a Mol...
We report the design and performance of a computational molecular dynamics (MD) code for 400 million...
Abstract NAMD is a fully featured, production molecular dynamics program for high performance simula...
NAMD is a parallel, object-oriented molecular dynamics program designed for high perfor-mance simula...
NAMD is a portable parallel application for biomolecular simulations. NAMD pioneered the use of hybr...
Molecular Dynamics (MD) is an important atomistic simulation technique, with widespread use in compu...
Computational chemistry allows researchers to experiment in sillico: by running a computer simulatio...
Published under license in Journal of Physics: Conference Series.Recently, an alternative strategy f...
ABSTRACT. To achieve scalable parallel performance in Molecular Dynamics Simulations, we have modele...
High-Performance Computing is impacting on all biomedical sciences, including molecular biophysics. ...
The most widely used technique to allow for parallel simulations in molecular dynamics is spatial do...
Molecular mechanics and dynamics are becoming widely used to perform simulations of molecular system...
This paper aims to describe the implementation of TAKAKAW, an efficient parallel application for the...
© 2013 American Physical SocietyThis article introduces a highly parallel algorithm for molecular dy...
Molecular mechanics and dynamics are becoming widely used to perform simulations of molecular system...
This paper discusses the comprehensive performance profiling, improvement, and benchmarking of a Mol...
We report the design and performance of a computational molecular dynamics (MD) code for 400 million...
Abstract NAMD is a fully featured, production molecular dynamics program for high performance simula...
NAMD is a parallel, object-oriented molecular dynamics program designed for high perfor-mance simula...
NAMD is a portable parallel application for biomolecular simulations. NAMD pioneered the use of hybr...
Molecular Dynamics (MD) is an important atomistic simulation technique, with widespread use in compu...
Computational chemistry allows researchers to experiment in sillico: by running a computer simulatio...
Published under license in Journal of Physics: Conference Series.Recently, an alternative strategy f...
ABSTRACT. To achieve scalable parallel performance in Molecular Dynamics Simulations, we have modele...
High-Performance Computing is impacting on all biomedical sciences, including molecular biophysics. ...
The most widely used technique to allow for parallel simulations in molecular dynamics is spatial do...
Molecular mechanics and dynamics are becoming widely used to perform simulations of molecular system...
This paper aims to describe the implementation of TAKAKAW, an efficient parallel application for the...
© 2013 American Physical SocietyThis article introduces a highly parallel algorithm for molecular dy...
Molecular mechanics and dynamics are becoming widely used to perform simulations of molecular system...
This paper discusses the comprehensive performance profiling, improvement, and benchmarking of a Mol...
We report the design and performance of a computational molecular dynamics (MD) code for 400 million...