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

03/14/2019
by   Carsten Kutzner, et al.
0

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.

READ FULL TEXT

page 5

page 8

page 20

page 21

page 23

page 24

page 29

page 33

research
12/08/2020

The Architectural Implications of Distributed Reinforcement Learning on CPU-GPU Systems

With deep reinforcement learning (RL) methods achieving results that exc...
research
11/22/2022

Improved Multi-GPU parallelization of a Lagrangian Transport Model

This report highlights our work on improving GPU parallelization by supp...
research
01/05/2022

Communication-Efficient TeraByte-Scale Model Training Framework for Online Advertising

Click-Through Rate (CTR) prediction is a crucial component in the online...
research
01/13/2022

Development and performance of a HemeLB GPU code for human-scale blood flow simulation

In recent years, it has become increasingly common for high performance ...
research
05/19/2022

Comparing single-node and multi-node performance of an important fusion HPC code benchmark

Fusion simulations have traditionally required the use of leadership sca...
research
11/26/2019

Summarizing CPU and GPU Design Trends with Product Data

Moore's Law and Dennard Scaling have guided the semiconductor industry f...
research
12/23/2020

Hardware-accelerated Simulation-based Inference of Stochastic Epidemiology Models for COVID-19

Epidemiology models are central in understanding and controlling large s...

Please sign up or login with your details

Forgot password? Click here to reset