Computer Science Servers
Dahj, Soji
Supermicro server
- ARM Neoverse N1 128-core processor
- 1 TB of RAM
- Linux operating system
The systems are remotely accessible as dahj.cs.purdue.edu and soji.cs.purdue.edu.
The servers were purchased with undergraduate differential fee funds. They are to be used for undergraduate instruction, but are not to be used for graduate research.
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[00-06]
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