Grant Proposal: Difference between revisions
Line 39: | Line 39: | ||
** Network: 10GB interconnected Nodes and Storage | ** Network: 10GB interconnected Nodes and Storage | ||
** Storage: 73TB | ** 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 | |||
== CBB: Mnemosyne == | == CBB: Mnemosyne == |
Revision as of 13:42, 27 October 2023
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 If you see an outdated resource or a missing resource please contact techstaff@cs.vt.edu.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
- Nodes: 32 Compute 5 GPU
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.
- Nodes: 9
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: 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
- Nodes: 10
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
- Nodes: 10 (Homogeneous)
Kubernetes Clusters
Discovery
- Hardware:
- Nodes: 24 (Compute)
- Cores: 1100
- RAM: 3.2TB
- Storage: 34TB
- Nodes: 24 (Compute)
Endeavour
- Hardware:
- Nodes: 12 (Compute)
- Cores: 728
- GPU's: 12
- RAM: 5.2TB
- Storage: 42TB
- Nodes: 12 (Compute)
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
- Nodes: 1
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.