Quoting Stefan Ehmann <shoes...@gmx.net> (from Sat, 21 Mar 2020 11:38:26 +0100):

On Thursday, March 19, 2020 8:57:45 AM CET Alexander Leidinger via freebsd-
stable wrote:
Hi,

if someone wants to donate some FreeBSD based CPU resources to the
fight against the Corona-virus, here is a quick HOWTO in terms of
installing the Folding@Home client on FreeBSD:

https://www.leidinger.net/blog/2020/03/19/fighting-the-coronavirus-with-free
bsd-foldinghome/


Unfortunately, (using a CPU slot for the same work unit) TPF is 2-3 times
slower than on Ubuntu for me. Much of the speed difference seems to be related
to libOpenCL. If remove libOpenCL on Ubuntu, it's still 20-30% faster than on
FreeBSD.

The pure CPU based code should be the same. Someone would have to trace / reverse engineer what is going on.

Don't know how stable the TPF numbers are, so numbers may be bogus.

Will a CPU slot also use the GPU with libOpenCL or is it just using better
optimized code? I tried to install libOpenCL but all I get is:

No idea. Just an assumption: either full CPU or full GPU.

OpenCL: Not detected: clGetPlatformIDs() returned -1001

Depending on what clGetPlatformIDs is doing and if it is not using/requesting some GPU support, it may be worth to check the code of it so see if we can improve something.

Since there's no CUDA support for FreeBSD, I guess there is no point in trying
getting GPU slots to work.

I assume the same. First step would be to get CUDA support in FreeBSD. I think I remember somewhere on the X11 mailinglist someone told that he got some NVidia GPU compute part working... not really sure about that part. It would help to get a big player to request it from NVidia. As Netflix seems to go the "encode videos on CPU" (assumption based upon their Intel av1 codec support/benchmarks) way, and other players in the video / graphics business more oriented towards linux, I do not have much hope in this regard ATM.

Bye,
Alexander.

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