Thanks for your answers.CMCanavessi wrote: ↑Mon Aug 13, 2018 10:49 pm1) Almost nothing if you're using GPU
2) Because 2 are enough to drive the GPU to 100%. If you use 2 gpus like in TCEC, than 4 threads are ideal.
0.16.0 is the latest official release. The one currently playing in tcec is an experimental version with some improvements that will probably make it to the next official release.
CUDA benchmarks
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Re: CUDA benchmarks
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Re: CUDA benchmarks
I'm curious to know, I read on a recent post that Lc0 now supports half precision, is this where the 8x speedup comes from?CMCanavessi wrote: ↑Mon Aug 13, 2018 7:21 pm
Google 4 TPU would probably be 20x more powerful than 2x 1080Ti, however Leela ratio is based on SF vs A0 search speed ratio in their match. With Lco crem compile, it is about 8x faster than previous Leela Zero. So in practical speed term, leela ratio become 0.35( it would be 0.043 in case with Leela Zero)
Does that mean that as well as really fancy cards like GV100 a (still very expensive but much cheaper) Titan would also benefit from the 8x speedup? And presumably normal cards, like a 1060, will be unaffected?
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Re: CUDA benchmarks
Sorry the question above was muddled.
Half precision can only give 2x speed up.
However, any card which supports half precision would do, right? Including Titan?
Does it just happen by itself or do the settings need tweaking?
I might be able to test a Titan at work.
Half precision can only give 2x speed up.
However, any card which supports half precision would do, right? Including Titan?
Does it just happen by itself or do the settings need tweaking?
I might be able to test a Titan at work.
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Re: CUDA benchmarks
Which Titan?Werewolf wrote: ↑Tue Aug 14, 2018 10:49 pm Sorry the question above was muddled.
Half precision can only give 2x speed up.
However, any card which supports half precision would do, right? Including Titan?
Does it just happen by itself or do the settings need tweaking?
I might be able to test a Titan at work.
If it is Titan V that it is essentially the same thing as Tesla V100 and Quadro GV100.
All 3 are exactly the same GPU (Volta or in CUDA naming 7.0 capable devices) architecture packed in different packages. The only real difference is the amount of RAM (and RAM bandwidth to some extent).
Titan V is consumer type graphics card has the lowest amount of 12GB (and is 3k$), Quadro GV100 is advertised as a workstation GPU and has 32GB or RAM (and costs 9k$) and finally Tesla V100 is advertised as data centre GPU for HPC and has 16GB or 32GB of RAM and comes also in NVlink version (not only PCIe) and costs over 10k$.
Since Lc0 only uses 2GB or RAM its performance would be virtually identical on all 3 cards.
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Re: CUDA benchmarks
Yes I meant Titan V, and that info is very interesting - thanks.
It looks likely a new Titan (RTX) will be announced by the end of the month btw.
It looks likely a new Titan (RTX) will be announced by the end of the month btw.