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




 HOOMD on Tesla GPUs

HOOMD-blue is a general purpose particle dynamics package written from ground-up to take advantage of the revolutionary CUDA architecture in NVIDIA GPUs. It contains a number of different force fields and integrators and its object oriented design enables adding additional ones easily.

Download and Installation

Benchmark Data

Detailed benchmarks are available on the HOOMD-blue page. One Tesla GPU running HOOMD-blue can outperform 32 CPU cores.

HOOMD on GPUs vs LAMMPS on 32 CPU cores
Data Courtesy of University of Michigan

Technical Papers

Interviews / Videos

Case Studies

  • NCSA, November 2009: The GPUs in NCSA's Lincoln cluster speed molecular dynamics simulations that drive the development of detergents and drug-delivery systems

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
    • 4 Tesla C2070 GPUs
  • CPU and Main Memory
    • 2.33 GHz Quad-Core x86 CPU
    • 24 GB or more
  • Not applicable (HOOMD 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 >