Skip to main content
LATEST INFORMATION ABOUT COVID-19

READ MORE

High-Performance Computing (HPC) Facility: Speed

Since December 2018, Gina Cody School of Engineering and Computer Science faculty, students, postdocs, and staff, have had access to a powerful HPC facility called Speed, which has been optimised for compute jobs that are multi-core aware, require a large memory space, or are iteration intensive.

HPCSpeed1

The current infrastructure comprises:

24 compute nodes, each with:

  • 32 physical cores
  • 512 GB RAM
  • 1 TB working-job (volatile-scratch) space
  • 200 TB NFS no-backup scratch NFS storage for larger data set

Job Management is handled by Univa Grid Engine.

A recently approved expansion will see posthaste the integration of an additional eight compute nodes, as well as 12 nVIDIA Tesla P6 GPUs.

The "cluster" mounts multi-TB, NFS-provided storage, which serves both persistent-scratch data and persistent-store data (not backed up; backed up, respectively).

HPCSpeed2

Software (both open-source and commercial):

  • Scientific Linux 7, supports containers
  • Singularity (supports conversion from Docker containers), various machine- and specifically deep learning frameworks, Conda, Ubuntu Lambda Stack, TensorFlow, OpenCV, OpenMPI, OpenISS, MARF, OpenFOAM
  • Commercial tools, subject to licensing, Fluent, MATLAB, Ansys, and many others.

All this infrastructure is continuously maintained by dedicated and professional AITS staff for sysadmin, applications, storage, and networking needs.

In alignment with the University’s digital strategy and open learning, GCS ENCS Network, Security, and HPC (NAG) group began to release some HPC resources for Speed publicly, including job submission script samples. The GCS HPC users / community are encouraged to contribute their own scripts, tricks, and hints via pull requests or report issues with the existing ones on our GitHub page:

GCS NAG Speed GitHub Page

For more information, or to request access to Speed, please e-mail: rt-ex-hpc@encs.concordia.ca

There are ongoing plans and work in progress for future expansion of Speed compute, GPU, and storage capabilities.

Back to top Back to top

© Concordia University