Tesla Bio Workbench

LAMMPS

 

LAMMPS is a classical molecular dynamics package written to run well on parallel machines. The CUDA version of LAMMPS is accelerated by moving the force calculations to the GPU.

Download and Installation

  • GPU LAMMPS
    • The GPU LAMMPS code is MPI enabled and scales to a large GPU cluster

Benchmark Data

LAMMPS on the GPU scales very well as seen by the results below. Two Tesla GPUs running GPU-LAMMPS outperforms 24 CPUs.

LAMMPS Results on CPU vs GPU Clusters
Data courtesy of of Scott Hampton & Pratul K. Agarwal,Oak Ridge National Laboratory

Technical Papers and 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
    • 4 Tesla C1060 GPUs
  • CPU and Main Memory
    • 2.33+ GHz x86 CPU
    • >16 GB (4 GB main memory per Tesla C1060 GPU)
  • GPUs per node
    • Either Tesla S1070 (with 4 GPUs in a 1U) or hybrid servers with M1060 GPUs
  • CPU and Main Memory
    • 2.33 GHz x86 CPU per server
    • 16 GB per server

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

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

For computing with large-scale installations
Learn more >