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System Description

Host name: hybrid.ncsa.illinois.edu

Hardware

  • SuperMicro

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  • SYS-7048GR-TR server

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    • 256 GB DDR4
    • 4 PCI-E 3.0 ports

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    • 10Gb/s Ethernet
  • 4x NVIDIA V100 GPUs (16GB + 32GB)
  • 6x 4 TB HDDs, arranged as

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4x NVIDIA P100 GPUs
  • 3584 cores
  • 16 GB HBM 2
  • one RAID 0

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  • (project) and one RAID z1 (home) arrays

Software

  • CentOS 7

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  • CUDA 9.2 / 8.0

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    need picture

    Projects

    1. Dedicated platform for gravitational waves detection via deep learning

    • Start date: 03/2017
    • End date: TBD
    • Users:
    • Objective: Develop deep learning based methodology for gravitational wave detection in support of LAGO project.
    • Current status
      • 03/??/17: access granted.
    • Open issues
      • need license to compile for actual hardware

    2. DISSCO parallel code testing platform

    • Start date: 03/2017
    • End date: TBD
    • Users: sever
    • Objective: Provide platform for infrequent testing of parallel version of DISSCO software.
    • Current status
      • 03/09/17: Access granted.
    • Open issues

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      • CUDA 9.2 is the default, switch between versions with module load cuda/x.y

    Image Added


    Main -> Systems -> Hybrid

    Contact us

    Request access to ISL resources: Application

    Contact ISL staff: Email Address

    Visit: NCSA, room 3050E