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 If you see an outdated resource or a missing resource please contact techstaff@cs.vt.edu.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: At least 64
    • Ram: 512GB
  • Network: 10Gbit low latency SFP+ interconnect
  • Storage: 143 terabytes of redundant CEPH disk storage.

CSRGPU

This GPU Virtual Machine cluster is dedicated to GPU computation research. This is an excellent resource for prototyping small scale models in a virtual GPU environment before scaling up to larger hardware.

• Hardware:
  • Nodes: 18
    • Cores: At least 40
    • Ram: At least 192GB
  • GPUs: Multiple NVidia P40, T4, A2, L40S GPUs
  • Network: 10Gbit interconnect
  • Storage: 237 TB of dedicated CEPH storage

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: 10Gbit interconnect
  • Storage: 73TB

Kubernetes Clusters

Discovery

• Hardware:
  • Nodes: 24 (Compute)
    • Cores: 1100
    • RAM: 3.2TB
  • Storage: 34TB

Endeavour

• Hardware:
  • Nodes: 12 (Compute)
    • Cores: 728
    • GPU's: 12
    • RAM: 5.2TB
  • Storage: 42TB

Shared Storage System

An on-premise robust shared storage system is available for departmental use.

• Hardware and software redundant storage
• Encrypted at rest
• Encryption in transit is available
• Can be mounted on multiple machines at the same time
• Available for use on kubernetes clusters
• Currently 180TB raw storage available

CBB: Mnemosyne

High memory computation system, dedicated to computational bioinformatics research.

• Hardware:
  • Nodes: 1
    • Cores: 64 (Intel)
    • RAM: 7686GB
  • Network: 10Gbit 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