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The GPU on this machine is a GeForce GTX460This GPU is not supported by the GPUGrid GPU app anymore.
- Presently, I'm limiting BOINC to using only 2 CPU-cores. It has only been since yesterday that I've noticed, some BOINC jobs actually need 4 CPU-cores, to run 1 job. This is very different from how it once was. Is it the case that only the 4-CPU-core jobs, also make use of the GPU, in the modern era?There are two different apps on GPUGrid now:
1. The GPU app which uses CUDA 8.0
2. The CPU app which needs 4 CPU cores, and only one such workunit should start at once (due to a bug in the app)
You've received only the latter, (Quantum Chemistry tasks), because your GPU is too old for GPUGrid GPU apps.
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It appears that you are now running the QC jobs OK, but it should be noted that the quantum chemistry application will run on less than 4 cores; that is just the maximum it uses per work unit by default.
If you have not used an app_config before, you can create it in a text editor, and then use the "save as" function to save it as an ".xml" file.
To activate it, you should read in the configuration files (or do a reboot). You can change those numbers as you choose.
PS - It actually increase the computation efficiency a little to use fewer than 4 cores; I often run on 1 core per work unit. But if you are memory-limited, the MT application makes more efficient use of memory for running on multiple cores.
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I think that people have answered my questions perfectly.
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