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IT Resources Overview

The following outlines the general (and high-level) IT resources provided by the FBRI.  This text can be used in IRB responses and research documentation.  

The FBRI has dedicated data centers in the primary Riverside 2 facility as well as the Biomedical Research Addition (BRA / Riverside 4) opened in 2020.  Both are secured with dual-factor biometric access and provide redundant and backup power through enterprise-class uninterruptible power supplies (UPS) and facilities-based generators.  

Off-site storage is housed in the Andrews Information Services Building (AISB) on main campus for real-time replication and protection of all research data. 

[IT SERVICES]

[Updated 4.22.2020]

Research Technology and Computing Resources

  • Dell / Intel HPC Cluster -SLURM (Dirac):
    •  20 compute nodes, 960 cores, 3,840 GB RAM, 40Gb Interconnect
  • Dell / Intel HPC Cluster - SLURM (Hawking):
    • 4 compute  nodes totaling 192 cores, 768 GB RAM, 40Gb Interconnect
    • 2 GPU nodes totaling 4 NVIDIA Tesla V100 16G Passive GPUs, 56 cores, 768 GB RAM, 40Gb Interconnect
  • 10+ dedicated Linux servers (48 core AMD Opteron-based, 192GB RAM) are available for image and data analysis
  • Virtualized infrastructure using VMware vSphere with built-in redundancy between data centers serving Linux and Windows virtual machines available for general and scientific computing and image and data analysis
  • 40 and 100Gbit/s storage connectivity for research data
  • 10,40 and 100 Gbit/s Internal Local Area Network between file servers and cluster
  • 10 Gbit/s Wide Area Network for access to Virginia Tech main campus / Internet
  • 1.9 Petabytes of NAS centralized disk storage
  • 1.2 Petabytes of off-site storage for disaster recovery
  • 400 Terabytes of encrypted storage for scientific workloads
  • Nightly backups, snapshots, and off-site data retention
  • 2.4Ghz / 5Ghz secure wireless network
  • 1 Gbit/s commodity Ethernet network
  • Data Analysis Tools: MATLAB, SPM, AFNI, FSL, MRIcro, xjView, R, SAS, Graphpad Prism, SPSS
  • Productivity Tools: Adobe Suite, Microsoft Office Suite, vi, vim, emacs, etc.

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  1. Jed Krisch

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