Grant Proposal

From Computer Science Wiki
Revision as of 10:09, 18 October 2023 by Miket (talk | contribs) (Protected "Grant Proposal" ([Edit=Allow only administrators] (indefinite) [Move=Allow only administrators] (indefinite)))
Jump to navigation Jump to search

Introduction

This page has been created as a quick reference which gathers all the available resources in a single location for the purposes of writing Grant Proposals. If you see an outdated resource or a missing resource please contact techstaff@cs.vt.edu.

Resources Available in the Department

RLogin

  • Hardware:
    • Nodes: 32 Compute 5 GPU
      • Cores: 32 Intel
      • RAM: 384GB
      • Storage: 1TB
    • Network: 10Gbit interconnect

CSRVM

To facilitate wide ranging research activities, some of the major services provided by the department include a Computer Science Research Virtual Machine cluster (CSRVM) which has the flexibility to create multi-core large scale VM's in a matter of minutes.

  • Hardware:
    • Nodes: 9
      • Cores: 64
      • Ram: 512GB
    • Network: 10GB low latency SFP+ back-end network interconnecting each node
    • Storage: 91 terabytes of dedicated disk storage.

GPUVM

  • Hardware:
    • Nodes: 10
      • Cores: At least 40
      • Ram: At least 192GB
    • GPU's: Multiple Nvidia P40 and T4's
    • Network: 10GB low latency SFP+ back-end network interconnecting each node
    • Storage: Dedicated CEPH shared file system

Systems Cluster

In addition, Computer Science has a ten (10) node homogeneous cluster, dedicated to systems research.

  • Hardware:
    • Nodes: 10 (Homogeneous)
      • Cores: 48 (Intel)
      • RAM: 256GB
    • Network: 10GB interconnected Nodes and Storage
    • Storage: 73TB

Secure Server Room & Graduate Area

The Computer Science department has a secure, modern, climate-controlled server room. The room is equipped with numerous sensors, controls, and backup systems to ensure all servers are continuously operating at peak performance. In addition, there is a separate secure, climate-controlled workspace for graduate students to work directly with servers and equipment, if appropriate.

Resources Available from the University

Advanced Research Computing - ARC