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CUDA
Table of Contents
Certain specialized nodes are outfitted with NVIDIA CUDA capable GPUs or accelerators. The tables below list brief specifications of currently installed CUDA cards and which domain/node they are installed in. Currently, the nodes that have CUDA cards do not have any wireless radios and are meant for offloading computation via ethernet networking. The nodes are accessible via the Control and Data networks of their respective domain. See the individual domain pages for more detailed information.
Available Cards
Model | # of CUDA Cores | Memory (GB) | Memory Bandwidth (GB/s) | Single-Precision Performance | Double-Precision Performance | More Info |
---|---|---|---|---|---|---|
GeForce GT 640 GDDR5 | 384 | 1 | 40.1 | 803 Gflops | unknown | 1 2 |
GeForce GTX 750 Ti | 640 | 2 | 86.4 | 1306 Gflops | unknown | 1 2 3 |
Quadro 2000D | 192 | 1 | 41.6 | 480 Gflops | unknown | 1 2 3 |
Quadro K5000 | 1536 | 4 | 173 | 2.1 Tflops | unknown | 1 2 3 |
Tesla C2025 | 448 | 3 | 144 | 1.03 Tflops | 515 Gflops | 1 2 3 |
Tesla K40 | 2880 | 12 | 288 | 4.29 Tflops | 1.43 Tflops | 1 2 |
Tesla K80 | 4992 | 24 | 480 | 8.73 Tflops | 2.91 Tflops | 1 2 3 |
Domains with CUDA Capabilities
Domain | Node: CUDA Card(s) |
---|---|
SB1 | node2-1: GeForce GTX 750 Ti |
SB4 | node2-1: GeForce GT 640 GDDR5 |
SB8 | node2-1: Quadro K5000 |
SB9 | node2-1: Quadro 2000D |
Grid | node21-1: 2x Tesla K40, node21-2: Tesla K80, node21-3: 2x Tesla C2050 |
Useful Links
CUDA Toolkit Documentation v7.5 Installation Guide for Linux NVIDIA CUDA Getting Started Guide for Linux