Does anyone have any Suggested Settings that they might want to share for my CUDA system ?

GenuineIntel
12th Gen Intel(R) Core(TM) i7-12700F [Family 6 Model 151 Stepping 2]
(12 processors)

NVIDIA NVIDIA GeForce GTX 1660 SUPER (6143MB) driver: 566.03 OpenCL: 3.0

Microsoft Windows 11 Core x64 Edition, (10.00.22631.00)

Thanks
Bill F

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In October of 1969 I took an oath to support and defend the Constitution of the United States against all enemies, foreign and domestic;
There was no expiration date.

The best suggested settings for this project and for your computer you will get from the build-in benchmark, which you should run with CPU tasks running.

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Link

I am not familiar with the Built in Benchmark that you mentioned .. unless you are talking about the BOINC client benchmark ?

Can you explain a little more ?

Thanks
Bill F

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In October of 1969 I took an oath to support and defend the Constitution of the United States against all enemies, foreign and domestic;
There was no expiration date.

No, I mean the benchmark of the distributed.net client. To run it, disable GPU computing in BOINC (but let the usual amount of CPU tasks run), go to Moo! Wrapper project dir and run for example "dnetc521-win32-x86-opencl.exe -bench" from the command line. It will tell you, which "core" is the fastest for your current setup. Repeat for different amout of used CPU cores or additional GPU tasks to find the best config for your system. Even different CPU projects might have effect on which core is the fastest and how many CPU cores you need to leave free to feed the GPU. You schould get something like this:

distributed.net client for OpenCL on Win32 Copyright 1997-2016, distributed.net
Please visit http://www.distributed.net/ for up-to-date contest information.
Start the client with '-help' for a list of valid command line options.


dnetc v2.9112-521-GTR-16021317 for OpenCL on Win32 (WindowsNT 6.2).
Please provide the *entire* version descriptor when submitting bug reports.
The distributed.net bug report pages are at http://bugs.distributed.net/

[Dec 30 09:25:02 UTC] RC5-72: using core #0 (CL ANSI 1-pipe).
[Dec 30 09:25:08 UTC] RC5-72: Benchmark for core #0 (CL ANSI 1-pipe)
                      0.00:00:04.01 [1,101,718,290 keys/sec]
[Dec 30 09:25:08 UTC] RC5-72: using core #1 (CL 1-pipe).
[Dec 30 09:25:13 UTC] RC5-72: Benchmark for core #1 (CL 1-pipe)
                      0.00:00:02.85 [1,572,042,516 keys/sec]
[Dec 30 09:25:14 UTC] RC5-72: using core #2 (CL 2-pipe).
[Dec 30 09:25:20 UTC] RC5-72: Benchmark for core #2 (CL 2-pipe)
                      0.00:00:04.10 [1,080,195,879 keys/sec]
[Dec 30 09:25:20 UTC] RC5-72: using core #3 (CL 4-pipe).
[Dec 30 09:25:27 UTC] RC5-72: Benchmark for core #3 (CL 4-pipe)
                      0.00:00:04.12 [1,068,081,893 keys/sec]
[Dec 30 09:25:27 UTC] RC5-72 benchmark summary :
                      Default core : #-1 (undefined) 0 keys/sec
                      Fastest core : #1 (CL 1-pipe) 1,572,042,516 keys/sec
[Dec 30 09:25:27 UTC] Compare and share your rates in the speeds database at
                      http://www.distributed.net/speed/
                      (benchmark rates are for a single processor core)

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You don't want to run the CUDA app on Nvidia GPUs as OpenCL runs best. It may take a while for the project to go through all the CUDA apps before it figures out the OpenCL runs the best so be patient. Also, make sure you leave a free CPU thread open for it so it keeps your GPU fed.

Thanks blue! I got OpenCL installed and maybe now I’ll be a bit closer to your output haha