internal

For EVLers only

Resources

  • Networking: 100Gbps UIC research networking to StarLight Exchange
  • CAVE2 Cluster: VR system, 72 screens
  • GPU Cluster: COMPaaS DLV, 27 nodes, 68 AI GPUs
  • Nautilus – UCSD/NRP
    • SDSC, UCSD, MGHPCC, UNL
    • 128 Cores, 21 GPUs
  • SAGE: ANL / Northwestern
    • Sensors, Edge, ML
    • 3 units at UIC, development system, deployment testbed
  • Chameleon Testbed
    • Argonne/UofC/TACC
    • 20 nodes, 504 cores
    • Access to ~15,000 cores, 5PB of total disk space, connected by 100 Gbps network.

Users

  • Computer Science
    • Security
      • Explore complexity of modern applications
      • Develop methods and tools
      • Natural Language Processing (NLP)-based domain-specific classifiers
    • Data Science
      • Intuitive framework to integrate AI technologies
      • Tools that identify image data in biomedical literature
    • Computer Vision
      • Semantic segregation
      • 3D human pose estimation
    • Machine Learning
      • Reinforcement learning problems
  • Civil, Materials, & Environmental Engineering
    • Simulation and modeling
  • Mechanical and Industrial Engineering
    • Convolutional Neural Network (CNN)
      • Feature extraction
      • Column height detection
    • Estimation using different ML methods
  • Electrical and Computer Engineering
    • Mathematical models of ML algorithms
    • Training language models
      • long-short term memory (LSTMs)
  • Bare Metal Deployments/Testbeds
    • 9 Testbeds
    • SAGE3, one of those applications, provides:
      • 473 registered users