APPLICATIONS
Overview
ACEMD
AMBER
CUDA-BLASTP
CUDA-EC
CUDA-MEME
CUDASW++ (Smith-Waterman)
GPU-HMMER
GROMACS
HOOMD
LAMMPS
MUMmerGPU
NAMD
TeraChem
VMD
RESOURCES FOR GPU COMPUTING
Vertical Industry Solutions

- Molecular Dynamics

- Computational Chemistry

- Bio-Informatics

What is GPU Computing

Discussion Forums
GPU computing communities on GPUcomputing.net




 VMD on Tesla GPUs

VMD is a molecular visualization program for displaying, animating, and analyzing large biomolecular systems using 3-D graphics and built-in scripting. Several key kernels and applications in VMD now take advantage of the massively parallel CUDA architecture of NVIDIA’s GPUs. These applications run 20x to 100x faster when using a NVIDIA CUDA GPU compared to running them on a CPU only and are discussed below.

Download and Installation

Benchmark Data

Molecular Orbital Computation in VMD
Data courtesy of Theoretical and Computational Bio-physics Group, UIUC

There are several detailed benchmarks on VMD using GPUs at NVIDIA’s VMD benchmark page.

Presentations

Interviews / Videos

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
    • 3 Tesla C2070 GPUs + 1 Quadro 5000 GPU for visualization
  • CPU and Main Memory
    • 2.33 GHz Quad-Core x86 CPU
    • 24 GB or more
  • Not applicable (VMD is a desktop visualization application)

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 >