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Computer Science Servers

MC17

Dell PowerEdge R900 server

  • Four Intel Xeon E7450 2.40GHz 6-core processors
  • 24 GB of RAM
  • Linux operating system

The system is remotely accessible as mc17.cs.purdue.edu.


MC18

Dell PowerEdge R420 server

  • Two Intel Xeon E5-2690 2.90GHz 8-core processors
  • 192 GB of RAM
  • Linux operating system

The system is remotely accessible as mc18.cs.purdue.edu.

This server was provided through a generous donation from the Intel Corporation.


MC19

Dell PowerEdge R815 server

  • Four AMD Opteron 6276 2.30GHz 8-core processors
  • 128 GB of RAM
  • Linux operating system

The system is remotely accessible as mc19.cs.purdue.edu.


MC20

Dell PowerEdge R520 server

  • Two Intel Xeon E5-2470 2.30GHz 8-core processors
  • 128 GB of RAM
  • Linux operating system

The system is remotely accessible as mc20.cs.purdue.edu.


MC21

Dell PowerEdge R520 server

  • Two Intel Xeon E5-2470 v2 2.40GHz 10-core processors
  • 96 GB of RAM
  • Linux operating system

The system is remotely accessible as mc21.cs.purdue.edu.


MCTESLA

Supermicro SuperServer 7046GT-TRF

  • Two Intel Xeon X5690 3.46GHz 6-core processors
  • 48 GB of RAM
  • Linux operating system
  • Four NVIDIA GeForce GTX 1060 GPU cards for CUDA/OpenCL programming

The system is not directly accessible to users. Compute (GPU) jobs can be submitted using Slurm from queue.cs.purdue.edu using queue mctesla-gpu. This is the same job submission system used on RCAC clusters (e.g. scholar.rcac.purdue.edu)


CUDA

Supermicro SuperServer 4028GR-TR

  • Two Intel Xeon E5-2667 3.20GHz 8-core processors
  • 128 GB of RAM
  • Linux operating system
  • Two EVGA GeForce GTX TITAN X GPU cards for CUDA/OpenCL programming
  • Four NVIDIA TITAN Xp GPU cards for CUDA/OpenCL programming

The system is not directly accessible to users. Compute (GPU) jobs can be submitted using Slurm from queue.cs.purdue.edu using queue cuda-gpu. This is the same job submission system used on RCAC clusters (e.g. scholar.rcac.purdue.edu)


GORMAN[12]

NVIDIA DGX-1

  • Two Intel Xeon E5-2698 v4 2.20GHz 20-core processors
  • 512 GB of RAM
  • Linux operating system
  • Eight NVIDIA Tesla V100 SXM2 32Gb GPU cards for CUDA/OpenCL programming

The systems are not directly accessible to users. Compute (GPU) jobs can be submitted using Slurm from queue.cs.purdue.edu using queue gorman-gpu. This is the same job submission system used on RCAC clusters (e.g. scholar.rcac.purdue.edu)


JACOBI[01-05,07-08]

Dell PowerEdge R820

  • Four Intel Xeon E5-4617 2.90Hz 6-core processors
  • 64 GB of RAM
  • Linux operating system

The systems are not directly accessible to users. Compute (CPU) jobs can be submitted using Slurm from queue.cs.purdue.edu using queue jacobi-all. This is the same job submission system used on RCAC clusters (e.g. scholar.rcac.purdue.edu)


Schedule

Last Updated: Mar 1, 2024 9:21 AM

Department of Computer Science, 305 N. University Street, West Lafayette, IN 47907

Purdue University Indianapolis, 723 W. Michigan St., Indianapolis, IN 46202

Phone: (765) 494-6010 • Fax: (765) 494-0739

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