GROMACS 4: Algorithms for Highly Efficient, Load-Balanced, and Scalable Molecular Simulation
Max Planck Institute for Polymer Research · Max Planck Institute for Biophysical Chemistry · +2 more institutions
Abstract
Molecular simulation is an extremely useful, but computationally very expensive tool for studies of chemical and biomolecular systems. Here, we present a new implementation of our molecular simulation toolkit GROMACS which now both achieves extremely high performance on single processors from algorithmic optimizations and hand-coded routines and simultaneously scales very well on parallel machines. The code encompasses a minimal-communication domain decomposition algorithm, full dynamic load balancing, a state-of-the-art parallel constraint solver, and efficient virtual site algorithms that allow removal of hydrogen atom degrees of freedom to enable integration time steps up to 5 fs for atomistic simulations…
Citation impact
- FWCI
- 162.12
- Percentile
- 100%
- References
- 31
Authors
4Topics & keywords
- Computer science
- Scalability
- Algorithm
- Computational science
- Node (physics)
- Molecular dynamics
- Parallel computing
- Supercomputer