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20132020
most citedTackling Exascale Software Challenges in Molecular Dynamics Simulations with GROMACS

1.2k citations · 3.7k across the 5 of their papers we have counts for

collaborators

5 papers

physics.comp-ph2020★ 966 cited

Heterogeneous Parallelization and Acceleration of Molecular Dynamics Simulations in GROMACS

Szilárd Páll, Artem Zhmurov, Paul Bauer +5

The introduction of accelerator devices such as graphics processing units (GPUs) has had profound impact on molecular dynamics simulations and has enabled order-of-magnitude perfor…

cs.DC2019★ 431 cited

More Bang for Your Buck: Improved use of GPU Nodes for GROMACS 2018

Carsten Kutzner, Szilárd Páll, Martin Fechner +3

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 GROM…

cs.DC2015★ 266 cited

Best bang for your buck: GPU nodes for GROMACS biomolecular simulations

Carsten Kutzner, Szilárd Páll, Martin Fechner +3

The molecular dynamics simulation package GROMACS runs efficiently on a wide variety of hardware from commodity workstations to high performance computing clusters. Hardware featur…

cs.CE2015★ 1.2k cited

Tackling Exascale Software Challenges in Molecular Dynamics Simulations with GROMACS

Páll Szilárd, Mark James Abraham, Carsten Kutzner +2

GROMACS is a widely used package for biomolecular simulation, and over the last two decades it has evolved from small-scale efficiency to advanced heterogeneous acceleration and mu…

physics.comp-ph2013★ 779 cited

A flexible algorithm for calculating pair interactions on SIMD architectures

Szilárd Páll, Berk Hess

Calculating interactions or correlations between pairs of particles is typically the most time-consuming task in particle simulation or correlation analysis. Straightforward implem…