The University of Arizona
    For questions, please open a UAService ticket and assign to the Tools Team.
UA HPC
Page tree
Skip to end of metadata
Go to start of metadata

You are viewing an old version of this page. View the current version.

Compare with Current View Page History

« Previous Version 3 Next »

Ocelote has 46 new compute nodes with Nvidia P100 GPU's.  These are available to researchers on campus.  There will be fairshare limitations but the intention is for them to be as widely available as possible. There are still compute nodes on El Gato with 70 nodes provisioned with Nvidia Tesla K20's. 



Cuda Modules

Currently the following Cuda modules are available on Ocelote:

/cm/shared/modulefiles




cuda75/blas/7.5.18 cuda75/nsight/7.5.18cuda80/blas/8.0.61cuda80/nsight/8.0.61
cuda75/fft/7.5.18cuda75/profiler/7.5.18cuda80/fft/8.0.61 cuda80/profiler/8.0.61
cuda75/gdk/352.79cuda75/toolkit/7.5.18cuda80/gdk/352.79 cuda80/toolkit/8.0.61
/cm/shared/uamodulefiles


cuda75/neuralnet/5/5.1cuda75/neuralnet/6/6.0cuda80/neuralnet/5/5.1cuda80/neuralnet/6/6.0

Applications

Many applications have been optimized to run faster on GPU's.  These include:

  • NAMD
  • VASP
  • GROMACS
  • LAMMPS
  • GAUSSIAN
  • MATLAB
  • AMBER
  • ANSYS Fluent
  • ML and DL frameworks

Training

We host workshops from the Pittsburgh Supercomputer Center which is a NSF funded location.  We are working with Nvidia to offer a workshop in the April 2018 timeframe.

Watch for announcements from the hpc-info list.


  • No labels