INF5063 - nVIDIA GeForce GPU Resources & FAQ
Page for resources and frequently asked questions for the GPU machines. If you have any other questions, please send an email to inf5063@ifi.uio.no
The following talbe gives an overview of the status of the nVIDIA GPU machines in the lab at Simula. All nVIDIA GPU's from the GeForce 8/9/100/200 generation, both for desktop and laptop supports CUDA, and it is therefore possible to use your own hardware.
Remember that you have to SSH into oslo.simula.no to access the lab-net here at Simula. Username and password has been provided to all groups:
| Computer | GPU | Multiprocessors | Compute Capability | Status |
| gpu-1.ndlab.net | GeForce 8800GT | 14 | 1.1 | Operational |
| gpu-2.ndlab.net | GeForce 8600GT | 4 | 1.1 | Operational |
| gpu-3.ndlab.net | GeForce 8800GT | 14 | 1.1 | Operational |
| gpu-4.ndlab.net | GeForce 8800GT | 14 | 1.1 | Operational |
| gpu-5.ndlab.net | GeForce 8600GT | 4 | 1.1 | Operational |
| gpu-6.ndlab.net | GeForce 8800GT | 14 | 1.1 | Operational |
| reagan.ndlab.net | GeForce 8800GTX | 16 | 1.0 | Operational |
| bush.ndlab.net | GeForce 9600GT | 8 | 1.1 | Shared (OpenCL) |
Please note that only one person in a group may reserve a timeslot (max 4 hours) at a time! The reason for this is to allow other user access to the GPU machines as well. We have a reservation system in place for the GPU machines here at Simula:
The login to open the page is the same you use to access the Home Exams. Remember to log into the calendar with the username and password provided to your group. The OpenCL machine bush.ndlab.net will also be used by INF5071 students.
GPU Programming Resources
nVIDIA CUDA 2.3 Programming Guide
nVIDIA CUDA 2.3 Reference Manual
nVIDIA CUDA Best Practices Guide
CUDA Visual Profiler 2.3 Readme
Frequently Asked Questions
Q: Can I use my own GPU?
A: Yes, you can! CUDA works on all GeForce 8/9/100/200-series GPU's from nVIDIA. However, you have to make sure that your code also compiles and run on the machines here at Simula. If you use functions that requires a special "Compute Version", you have to state this in your documentation.
Q: What software do I need if I want to run on my own GPU?
A: Here at Simula, we are running Ubuntu 9.04 Server (64-bit) with CUDA 2.3 from nVIDIA. You have to download both a CUDA-certified driver, and CUDA 2.3 toolkit from nVIDIA. The CUDA SDK is optional, but it contains several usefull functions.