>> BTW, it occurs to me that we can approximate the efficiency of
>> parallelization by taking execution counts from a profiler and
>> post-processing them. I should do that before buying a new GPU. :-)
>I wonder what you mean by that.
If you run your program on a sequential machine and count sta
On Fri, Oct 23, 2009 at 01:34:29PM -0600, Brian Sheppard wrote:
> I have not done any GPU experiments, so readers should take my guesswork
> FWIW. I think the code that is "light" is the only piece that parallelizes
> efficiently. Heavy playouts look for rare but important situations and
> handle t
>In my own gpu experiment (light playouts), registers/memory were the
>bounding factors on simulation speed.
I respect your experimental finding, but I note that you have carefully
specified "light playouts," probably because you suspect that there may be a
significant difference if playouts are h
In my own gpu experiment (light playouts), registers/memory were the
bounding factors on simulation speed. I expected branching to affect it more
but as long as you have null branches (instead of branches that do
something) then the total execution only takes as long as the longest
branch, which tu
>I just wondered if this new Fermi GPU solves the issues for go
>playouts, or don't really make any difference?
My first impression of Fermi is very positive. Fermi contains a lot of
features that make general purpose computing on a GPU much easier and better
performing.
However, it remains the c
Hi!
On Fri, Oct 23, 2009 at 10:21:07AM +0100, Christian Nentwich wrote:
> ah - I missed the white paper, I will read that later so I can form
> a real opinion. I must say, the mere fact that there will be C++
> support and a proper development environment (even if only for
> Windows) is a big rel
Darren,
ah - I missed the white paper, I will read that later so I can form a
real opinion. I must say, the mere fact that there will be C++ support
and a proper development environment (even if only for Windows) is a big
relief. Working with CUDA at the moment is a nightmare, straight back t
> these articles are still somewhat short on detail, so it's hard to tell.
Yes the linux mag article was a bit empty wasn't it, but did you take a
look at the 20-page whitepaper:
http://www.nvidia.com/content/PDF/fermi_white_papers/NVIDIA_Fermi_Compute_Architecture_Whitepaper.pdf
> Having said th
Darren,
these articles are still somewhat short on detail, so it's hard to tell.
A lot of the "new features" listed there won't have any impact on the
suitability of the GPU for Go, because they do not change the method of
computation (e.g. doubling floating point precision is irrelevant).
H
I was reading a linux mag article [1] saying that the latest nvidia GPUs
[2] solve many of the problems of using them for supercomputing problems.
There was a thread [3] here in September about running go playouts on
GPUs, where the people who had tried it seemed generally pessimistic. I
just wonde
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