Tesla

GROMACS on Tesla GPUs

 
 

GROMACS is a molecular dynamics package designed primarily for simulation of biochemical molecules like proteins, lipids, and nucleic acids that have a lot complicated bonded interactions. The CUDA port of GROMACS enabling GPU acceleration is now available in beta and supports Particle-Mesh-Ewald (PME), arbitrary forms of non-bonded interactions, and implicit solvent Generalized Born methods.

Download and Installation

Benchmark Data

The CUDA version of GROMACS currently supports a single GPU and produces the following results:

Particle-Mesh-Ewald (PME) Reaction-Field Cutoffs
  Data courtesy of Stockholm Center for Biomembrane Research

Technical Papers

Discussion Forums

GPU SOLUTIONS

The Tesla Bio Workbench applications can be deployed on GPU-based desktop personal supercomputers or in data center solutions. Built on the revolutionary massively parallel CUDA architecture, these solutions are designed to accelerate the pace of computational science.

RECOMMENDED HARDWARE CONFIGURATION

Desktop Workstation Configuration Data Center Configuration
  • GPUs
    • 1 Tesla C2070 GPU (GROMACS supports single GPU so far)
  • CPU and Main Memory
    • 2.33 GHz Quad-Core x86 CPU
    • 16 GB or more
  • Not applicable (CUDA version of GROMACS is not yet MPI enabled)

Tesla Personal Supercomputer   Tesla GPU Computing Clusters
WORKSTATION SOLUTIONS
TESLA PERSONAL SUPERCOMPUTER

For personal supercomputing at your desk
Learn more > Where to buy >
 
DATA CENTER SOLUTIONS
TESLA GPU COMPUTING CLUSTERS

For computing with large-scale installations
Learn more > Where to buy >