Grant Proposal

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 If you see an outdated resource or a missing resource please contact techstaff@cs.vt.edu.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

CBB: Mnemosyne

High memory computation system, dedicated to computational bioinformatics research.

• Hardware:
  • Nodes: 1
    • Cores: 64 (Intel)
    • RAM: 7686GB
  • Network: 10GB interconnected to Storage
  • Storage: 30TB

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