[Insight-users] [Insight-developers] Cuda ITK

Thu Feb 12 15:19:36 EST 2009

I have seen several discussions on this issue before in this emailing list. 
My impression is that it is not possible or very difficult to combine CUDA 
and ITK for now. All I can say is that CUDA indeed is able to give you a 
significant speedup, but it strongly depends on the quality of your CUDA 
codes.

Chen

----- Original Message ----- 
From: "Marcel Weiss" <mweiss at cbs.mpg.de>
To: "Hua-Mei Chen" <huameichen0523 at gmail.com>
Cc: <insight-users at itk.org>; <insight-developers at itk.org>
Sent: Thursday, February 12, 2009 11:06 AM
Subject: Re: [Insight-developers] [Insight-users] Cuda ITK

As we ordered a new number crunching machine including a NVIDIA Tesla TM 
C1060 and we are planning to use it for the fast processing of our 
high-resolition 3D images, I´d be interested in some more statements and 
experiences on CUDA (pure and/or with ITK).

Would you suggest planning and programming new code or adjusting existing 
code?
I´m sure there is a tradeoff between man power needed and speed-up gained 
...

Marcel Weiss
Dipl.-Inf.(FH)
PhD student
Department of Neurophysics
Max Planck Institute for Human Cognitive and Brain Sciences

----- Original Message -----
From: "Hua-Mei Chen" <huameichen0523 at gmail.com>
To: "Dan Mueller" <dan.muel at gmail.com>, "Gaëtan Lehmann" 
<gaetan.lehmann at jouy.inra.fr>, "Badri Roysam" <roysam at ecse.rpi.edu>
Cc: "ITK Users" <insight-users at itk.org>, "ITK Developers" 
<insight-developers at itk.org>
Sent: Thursday, February 12, 2009 5:21:11 PM GMT +01:00 Amsterdam / Berlin / 
Bern / Rome / Stockholm / Vienna
Subject: Re: [Insight-developers] [Insight-users]  Cuda ITK

Well, we wrote some PURE CUDA code for our mutual information based
non-rigid registration. It did give us a significant (> 100 times for some
routines) speedup. But I have no idea how to use it with ITK.

Chen

----- Original Message ----- 
From: "Badri Roysam" <roysam at ecse.rpi.edu>
To: "Dan Mueller" <dan.muel at gmail.com>; "Gaëtan Lehmann"
<gaetan.lehmann at jouy.inra.fr>
Cc: "ITK Users" <insight-users at itk.org>; "ITK Developers"
<insight-developers at itk.org>
Sent: Thursday, February 12, 2009 8:50 AM
Subject: Re: [Insight-users] [Insight-developers] Cuda ITK

We invested heavily in GPUs and CUDA in my lab a couple of years ago. Our
practical
experience has been that these things don't work quite as we had imagined
from the
advertising. In other words, when we compiled our vessel segmentation codes
on CUDA,
we found no speedup (in some case, it was slower than optimized compilation
on the CPU.
It took a lot of work to get speedup over serial code. You have to rethink
your
code to suit a streaming architecture, and spend time working out the data
flows carefully.
Overall, we learned that the effort involved in building
"GPU versions" of existing routines is
manpower intensive. I am interested to know what others' experience has
been.

Badri Roysam
Professor, Department of Electrical, Computer and Systems Engineering
Associate Director, NSF Center for Subsurface Sensing & Imaging Systems
(CenSSIS ERC)
Co-Director, Rensselaer Center for Open Source Software
Rensselaer Polytechnic Institute
110 8th Street, Troy, New York 12180-3590, USA.
Office(JEC 7010): 518-276-8067, Assistant: 518-276-8525, Lab(JEC 6308):
518-276-8207, Fax: 518-276-8715
Email: roysam at ecse.rpi.edu, Web: http://www.ecse.rpi.edu/~roysam

----- Original Message -----
From: Dan Mueller [mailto:dan.muel at gmail.com]
To: Gaëtan Lehmann [mailto:gaetan.lehmann at jouy.inra.fr]
Cc: ITK Users [mailto:insight-users at itk.org], ITK Developers
[mailto:insight-developers at itk.org]
Subject: Re: [Insight-users] [Insight-developers] Cuda ITK

> Hi Gaetan,
>
> I too have been following the closely development of the GPGPU field
>     http://en.wikipedia.org/wiki/Gpgpu
> and waiting for ITK to jump on board (unfortunately I have had little
> spare time to spearhead this myself).
>
> I remember speaking to Luis at a t-con last year about ITK+CUDA and he
> mentioned one of outcomes of the project was discovering that CUDA is
> not (yet) very portable (i.e. code that works on one NVIDIA card, does
> not necessarily work on another).
>
> If ITK is going to be GPGPU-enabled, then perhaps the OpenCL standard
> will provide more portability:
>     http://en.wikipedia.org/wiki/OpenCL
>
> Obviously OpenCL is still new (version 1.0 approved December 8, 2008),
> but I imagine we'll start seeing supporting hardware soon
>     http://www.nvidia.com/object/io_1228825271885.html
>
> http://news.softpedia.com/news/AMD-Takes-Up-OpenCL-1-0-Puts-More-Effort-on-ATI-Stream-SDK-99578.shtml
> and maybe even Intel's Larrabee
>     http://www.hpcwire.com/blogs/OpenCL_On_the_Fast_Track_33608199.html
>
> (I don't think NVIDIA or ATI has to date officially announced a chip
> with OpenCL support...I'd be happy to be proved wrong...)
>
> Because much of this is still speculative, it doesn't really factor
> into your discussion about what hardware to buy today... Just a
> warning: while CUDA is the pioneer, it may not be be around to see the
> real action.
>
> Cheers, Dan
>
> 2009/2/11 Gaëtan Lehmann <gaetan.lehmann at jouy.inra.fr>:
> >
> > Hi,
> >
> > We are currently thinking to buy a few powerful workstations to run ITK
> > in
> > my lab.
> > I heard of nvidia's tesla cards, and I see that some experiments has
> > been
> > made to use them in ITK.
> >
> > http://www.na-mic.org/Wiki/images/f/f9/Itk-gpu-meeting-Fall2007.ppt
> >
> > Is there any update since fall 2007?
> >
> > Regards,
> >
> > Gaëtan
> >
> >
> > --
> > Gaëtan Lehmann
> > Biologie du Développement et de la Reproduction
> > INRA de Jouy-en-Josas (France)
> > tel: +33 1 34 65 29 66    fax: 01 34 65 29 09
> > http://voxel.jouy.inra.fr  http://www.mandriva.org
> > http://www.itk.org  http://www.clavier-dvorak.org
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