IN5050 - nVIDIA GeForce GPU Resources & FAQ
Page for resources and frequently asked questions for the Jetson AGX Xavier machines. If you have any other questions, please send an email to in5050@ifi.uio.no
guide.
Username and password have been provided to all groups. The following table gives an overview of the status of the ARM machines with GPU at IFI:
| Computer | GPU | GPU Core | Memory | Multiprocessors (CUDA Cores) | Compute Capability | Status |
| tegra-1.mlab.no | NVIDIA Tegra Xavier | GV11B | 16 GB | 8 (512) | 7.2 | Up |
| tegra-2.mlab.no | NVIDIA Tegra Xavier | GV11B | 16 GB | 8 (512) | 7.2 | Up |
| tegra-3.mlab.no | NVIDIA Tegra Xavier | GV11B | 32 GB | 8 (512) | 7.2 | Up |
| tegra-4.mlab.no | NVIDIA Tegra Xavier | GV11B | 32 GB | 8 (512) | 7.2 | Up |
GPU Programming Resources
Paper on optimizing the Motion JPEG encoder for Cell and GPU (access from UiO)
Nvidia CUDA Toolkit 10.2 Documentation
Application Note - CUDA for Tegra
Volta Compatibility Guide for CUDA Applications
Frequently Asked Questions
Q: Can I use my own GPU?
A: Yes, you can. However, we do not recommend this. The program has to compile and run on the Jetson AGX Xavier Development Kits. Your CPU code should be optimized for 64-bit ARMv8.2, and the GPU code should be optimized for the Volta/Turing architecture (Compute 7.x).
Q: Do we have any video source files to test with?
A: The video source files are stored in /mnt/sdcard.