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See The LSF Scheduler for more information on managing jobs.

QueuePurposeInventoryNotes
normalVNC & Batch Jobs
  • 480 CPU Cores, avg. 8GB RAM per core
  • 8 NVIDIAGeForceGTX1080Ti (1 Node)
  • 4 NVIDIAGeForceRTX2080 (1 Node)

  • 4 NVIDIAGeForceGTXTITAN
  • 8 TeslaK40m
    (above GPus split over 3 nodes)

The K40 and TITAN GPUs are recommended for VNC use only, and may not be supported by current computational libraries.

  • 2 Nodes: (2x) 36 Core Xeon 62xx, 384GB RAM
  • 2 Nodes: (2x) 36 Core Xeon 61xx, 384GB RAM
  • 4 Nodes: (2x) 16 Core Xeon E5-v3, 256GB RAM
  • 1 Node: (2x) 20 Core Xeon E5-v3, 128GB RAM
  • 2 Nodes: (2x) 24 Core Xeon E5-v2, 256GB RAM
  • 8 Nodes: (2x) 24 Core Xeon E5-v2,  128GB RAM
  • 1 Node: (2x) 12 Core Xeon E5-v2, 128GB RAM
  • 1 Node: (2x) 16 Core Xeon E5, 128GB RAM
interactiveInteractive JobsSee Above
cpu-compute-*Batch Jobs
  • 512 CPU Cores, avg 4GB RAM/core
  • 100GB IB Interconnectivity
  • 4 Nodes: (2x) 64 Core AMD Epyc 77xx, 512GB RAM

Three queues are defined:

cpu-compute : 7 day job time limit

cpu-compute-long: 21 day job time limit

cpu-compute-debug: 4 hour time limit, allows interactive jobs

gpu-compute-*Batch Jobs
  • 8 NVIDIAA100 80GB PCIe (1 Node)
  • 16 NVIDIAA40 48GB (2 Nodes)
  • 768GB RAM Per Node
  • 100GB IB Interconnectivity
  • 3 Nodes: (2x) 24 Core Xeon 62xx, 768GB RAM

Three queues are defined:

gpu-compute : 7 day job time limit

gpu-compute-long: 21 day job time limit

gpu-compute-debug: 4 hour time limit, allows interactive jobs

linuxlabInteractive & Batch Jobs
  • 256 CPU Cores, avg 4GB RAM per core
  • 8 Nodes: (2x) Xeon E5-v3, 128GB RAM

Accessing the Research Compute Cluster

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