The Center for Computation and Visualization remains committed to supporting the computing needs of the Brown Research Community during this difficult time. COVID-19 Updates

Facilities

Learn more about CCV’s facilities and how to cite CCV.

Facilities Statement


If you are writing a grant proposal for research that will use CCV facilities, please use the following text as a short description of our facilities:

CCV provides high-performance computing (HPC) resources and scientific computing expertise to Brown University’s research community. Oscar, CCV’s primary research computing cluster, has

  • 2 login nodes
  • 392 diskless multi-core nodes
    • 13348 CPU cores
    • available memory ranging from 63 GB to 756 GB per node
    • sharing a high-performance interconnect and file system and running Red Hat Enterprise Linux 7.3
  • 33 GPU nodes
    • total of 211 GPUs
    • available memory ranging from 11 to 32 GB VRAM per GPU
  • xCAT (IBM’s cluster administration toolkit) for provisioning all nodes
  • a GPFS parallel filesystem which provides a total of 1.7 PB of usable storage space
  • 100 Gb/s EDR Infiniband connectivity
  • For more technical details, please see this link.

CCV’s state-of-the-art infrastructure is maintained and operated by CCV staff, who have extensive experience in operating shared computational clusters. CCV staff members are responsible for scheduled maintenance, access control, and integration with research-specific hardware as required by researchers. A large collection of software is available on Oscar, including: R, Matlab, Mathematica, Maple, and a large range of optimized math and science libraries and domain-specific applications. CCV staff members are available to assist with the acquisition and installation of any applications not already available on Oscar. CCV staff members are also available to consult on research projects and work directly to support and develop the advanced computational methods used by researchers at Brown. Please contact us if you need a more detailed description.

How to Cite CCV


If you publish research that benefited from the use of CCV services or resources, we would greatly appreciate an acknowledgment that states:

This research [Part of this research] was conducted using [computational/visualization] resources and services at the Center for Computation and Visualization, Brown University.