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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