pbdR available on h2p cluster

Dear R users of CRC,

Packages from pbdR (programming in big data with R) are now available to use over the h2p Omnipath cluster. The packages will allow R users to write MPI enabled parallel code in R. An example code and slurm job definition are available at “/ihome/crc/how_to_run/pbdr” on the cluster. To know more about pbdR see [1,2]. Do not hesitate to contact us should you face difficulties with using these packages.

[1] https://www.hpcwire.com/off-the-wire/ornl-researchers-bridge-gap-r-hpc-communities
[2] https://rbigdata.github.io

H2P GPU Charging Scheme

Dear H2P GPU Users,

If you are not using the GPU cluster on H2P you can safely ignore this. We have enabled the full charging scheme on the GPU cluster. Try crc-sinfo.py to see the new partitions:

  1. gtx1080 (default): Charging 1 SU per card hour
  2. titanx: Charging 3 SUs per card hour
  3. k40: Charging 6 SUs per card hour

Check out H2P Service Units and Queue Information for more details.

Thank you!

The CRC Team

1-minute survey on workshop topics

Dear Users,

We are writing to you to request your participation in a brief survey on workshop topics for Fall 2017-Spring 2018. We would like to get feedback about your suggested topics. Your responses to this survey will help us evaluate the effectiveness of our proposed workshops so that we can design better topics. The survey is brief and it takes less 1-minute to complete. Please submit your entry before June 30.

CRC Team.