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More bang for your buck: Improved use of GPU nodes for GROMACS 2018
Authors:Carsten Kutzner  Szilárd Páll  Martin Fechner  Ansgar Esztermann  Bert L de Groot  Helmut Grubmüller
Institution:1. Theoretical and Computational Biophysics, Max Planck Institute for Biophysical Chemistry, Am Fassberg 11, 37077 Göttingen, Germany;2. Center for High Performance Computing, KTH Royal Institute of Technology, 10044 Stockholm, Sweden
Abstract:We identify hardware that is optimal to produce molecular dynamics (MD) trajectories on Linux compute clusters with the GROMACS 2018 simulation package. Therefore, we benchmark the GROMACS performance on a diverse set of compute nodes and relate it to the costs of the nodes, which may include their lifetime costs for energy and cooling. In agreement with our earlier investigation using GROMACS 4.6 on hardware of 2014, the performance to price ratio of consumer GPU nodes is considerably higher than that of CPU nodes. However, with GROMACS 2018, the optimal CPU to GPU processing power balance has shifted even more toward the GPU. Hence, nodes optimized for GROMACS 2018 and later versions enable a significantly higher performance to price ratio than nodes optimized for older GROMACS versions. Moreover, the shift toward GPU processing allows to cheaply upgrade old nodes with recent GPUs, yielding essentially the same performance as comparable brand-new hardware. © 2019 Wiley Periodicals, Inc.
Keywords:molecular dynamics  GPU  parallel computing  energy efficiency  benchmark  GROMACS  computer simulations  CUDA  performance to price  high throughput MD
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