More Bang for Your Buck: Improved use of GPU Nodes for GROMACS 2018
March 14, 2019 Β· Declared Dead Β· π Journal of Computational Chemistry
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Authors
Carsten Kutzner, SzilΓ‘rd PΓ‘ll, Martin Fechner, Ansgar Esztermann, Bert L. de Groot, Helmut GrubmΓΌller
arXiv ID
1903.05918
Category
cs.DC: Distributed Computing
Cross-listed
cs.PF,
physics.bio-ph,
physics.comp-ph,
q-bio.BM
Citations
343
Venue
Journal of Computational Chemistry
Last Checked
3 months ago
Abstract
We identify hardware that is optimal to produce molecular dynamics 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 towards 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 towards GPU processing allows to cheaply upgrade old nodes with recent GPUs, yielding essentially the same performance as comparable brand-new hardware.
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