Hey David,
Thanxs for the reply... , I have been looking at porting over
to Ubuntu since TriD works well with it, and I seen they have
a new cloud computing operating system and a Android operating
system support, so that might make it to where, I can get the
Quantum computing thing, done over the cloud, which would
give people access to massive computing power that they can work
on using there smart phone.
I have been working on the compression thing with equations
this looks like something that might work with it, if I could get
CUDA to process things in compression ... like images ...
from the video card ... In parallel .. .
I think that might be a better Idea then trying to get PDL
to be backward compatible with CUDA...
I will down load every thing and try to get things ready
for Ubuntu, try to keep those files in mind maybe put
them in a secure location, I know how it is to try to go threw
all my old code to find one thing(s), some times it takes all day ...
Thanks David
-Mark
________________________________
From: David Mertens <[email protected]>
To: MARK BAKER <[email protected]>
Cc: "[email protected]" <[email protected]>
Sent: Saturday, August 4, 2012 3:36 PM
Subject: Re: [Perldl] Using PDL with Nvadia Tesla C870 ???
Are you running Windows or Linux? If the latter, you should check out
https://github.com/run4flat/perl-CUDA-Minimal.
If you're on Windows, I'm afraid I'm not sure how you could go about
combining CUDA and Perl. As of a year ago, you were required to use
Microsoft's Visual C compiler to compile CUDA stuff on Windows. This
means that you (probably) need to compile your Perl with MSVC, and
then you need to write and compile a Perl module that provides the
various hooks for CUDA in Perl. The whole MSVC/Perl build chain is a
mystery to me, so I didn't explore it.
If you're on Linux, then CUDA::Minimal will provide what you need to
copy PDL data to your video card and retrieve data from your video
card into a piddle (or a plain Perl scalar, if you like). You'll need
to write your own kernels, and then write XS wrappers to invoke them.
I have some code that I wrote 1 1/2 years ago that could demonstrate
how all this works, if you'd like to see it. But, again, this only
works on Linux at the moment. If you're on Windows, you'll need to
sort through build chain issues.
The most important thing to bear in mind is that a naive combination
of PDL and CUDA does not give much in the way of performance benefits.
You might think to overload any PDL operation to copy the data to the
video card, run the operation, and copy back the results, but it turns
out the copy to/from the video card kills the performance gain for
almost anything except matrix-matrix multiplication. For this reason,
I didn't explore overloading PDL methods with CUDA ones, though there
is room for this sort of work.
Anyway, let me know if you have questions. Maybe I'll actually put
CUDA::Minimal on CPAN. :-)
David
On Sat, Aug 4, 2012 at 4:52 PM, MARK BAKER <[email protected]> wrote:
> Hello World!
>
> I just got my Tesla C870 installed and it looks like its working
> (I got two the other one was screaming) anyway, what do I need to do
> to get this to work with PDL ??? I seen some youtube videos; that
> got the Tesla C870 working with the CUDA SDK I wonder if there
> might be some way to intergrate that with PDL ...
>
> so before I start is there a easy way to do this ???
>
> I know I have to use the CUDA SDK which I assume is
> written in C and uses C as the language of choice, am I right
> about that...
>
> Is there a way to get PDL to talk with the CUDA SDK
> or more like a PDL::CUDA::SDK module ???
>
> Thanks
>
> -Mark
>
>
>
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>
--
"Debugging is twice as hard as writing the code in the first place.
Therefore, if you write the code as cleverly as possible, you are,
by definition, not smart enough to debug it." -- Brian Kernighan
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