Message boards :
Number crunching :
How to constrain workload on an NVIDIA GPU
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Author | Message |
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Send message Joined: 24 Nov 12 Posts: 3 Credit: 10,520,262 RAC: 0 |
Hi, I've noticed that when Milky-way uses one of my NVIDIA boards, it uses all of it (1 GPU). In Seti@Home, I'm able to constrain or divide GPU workload among multiple work units. How can I do the same with Milky-way? Thanks, Jim Wright |
Send message Joined: 4 Sep 12 Posts: 219 Credit: 456,474 RAC: 0 |
The same way as at SETI - use an application configuration file. So far as I know, Einstein@Home is the only project which enables you to control GPU usage via your account settings on their website. |
Send message Joined: 24 Nov 12 Posts: 3 Credit: 10,520,262 RAC: 0 |
Richard, Thanks for the hint. Now, where do I get a sample application config file customized for MilkyWay? Jim Wright |
Send message Joined: 24 Nov 12 Posts: 3 Credit: 10,520,262 RAC: 0 |
Hi, Does anyone have a properly coded Application Config file for Milky Way? Please share it? I do not feel competent to construct one from scratch and really really want to change the CUDA processing parameters to improve my overall system performance. Thanks, Jim Wright |
Send message Joined: 8 May 09 Posts: 3319 Credit: 520,316,372 RAC: 20,850 |
Hi, Post your Seti one, maybe someone can help you modify it? |
Send message Joined: 12 Mar 10 Posts: 2 Credit: 3,064,688 RAC: 0 |
I found this on the updated GPU requirements thread; you may have to change the names of the executables to match those in your Program Data/BOINC/Projects/Milkyway... directory: http://milkyway.cs.rpi.edu/milkyway/forum_thread.php?id=3188&postid=62765 |
Send message Joined: 13 Dec 09 Posts: 10 Credit: 100,326,584 RAC: 0 |
<app_config> <app> <name>milkyway</name> <max_concurrent>2</max_concurrent> <gpu_versions> <gpu_usage>0.5</gpu_usage> <cpu_usage>0.5</cpu_usage> </gpu_versions> </app> <app> <name>milkyway_separation__modified_fit</name> <max_concurrent>2</max_concurrent> <gpu_versions> <gpu_usage>0.5</gpu_usage> <cpu_usage>0.5</cpu_usage> </gpu_versions> </app> </app_config> |
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