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Host name: hybrid.ncsa.illinois.edu

Hardware

  • SuperMicro board
    • 2x 8-core Intel Xeon CPU E5-2630 v3 @ 2.40GHz
    • 64 GB DDR4
    • 4 PCI-E 3.0 ports
  • 4x NVIDIA P100 GPUs
    • 3584 cores
    • 16 GB HBM 2
  • 1x 75GB SSD and 6x 4 TB HDDs, arranged as 2x RAID 0 arrays

Software

  • CentOS 7, 4.9 kernel
  • CUDA 8.0

need picture

Projects

1. Gravitational

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wave detection via deep learning

  • Start date: 03/2017
  • End date: TBD
  • PI: Eliu Antonio Huerta Escudero <elihu@illinois.edu>
    • Users: Daniel George: dgeorge5, Miguel Holgado: holgado2, Eliu Huerta: elihu, Daniel Johnson: dsjohns2, Michael Usachenko: usachenk
  • Objective: Develop deep learning based methodology for gravitational wave detection in support of LAGO project.
    • This is a dedicated platform for this specific project because developers need interactive GUI-based access to the system.
  • Current status
    • 03/01/17: 4x P100 donated by NVIDIA were installed
    • 03/17: access granted.
  • Open issues
    • need to mount RAID0 arrays and setup user space on them

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