[ITK-users] GPU support situation for ITK

[brian avants]

http://www.itk.org/Doxygen/html/classitk_1_1GPUDemonsRegistrationFilter.html
On Apr 17, 2014 7:56 PM, "Xiaopeng Yang" <yxp233 at postech.ac.kr> wrote:

> Hi Joel,
>
>
>
> Actually I have been thinking for a long time whether I should implement
> GPU or not. I am using DemonsRegistrationFilter to align multi-phase
> abdominal CT datasets. I have three different phases, so each time I need
> to perform two registrations which take more than 12 min (each 6 min). My
> customers really hate this long time computation. That is why I am trying
> to solve the problem as much as I can, but I need a right direction to take
> my effort on since I do not have much time. Thank you.
>
>
>
> Best regards,
>
> Xiaopeng
>
>
>
> *From:* Insight-users [mailto:insight-users-bounces at itk.org] *On Behalf
> Of *Jo?l Schaerer
> *Sent:* Friday, April 18, 2014 4:34 AM
> *To:* insight-users at itk.org
> *Subject:* Re: [ITK-users] GPU support situation for ITK
>
>
>
> Hi Xiaopeng,
>
> while it would probably be a fun project to work on, I would recommend
> reflecting a bit more on your problem before rushing into this.
>
> What is your application? What registration algorithm are you using? Is
> every computation performed during these 6 minutes absolutely needed for
> your final application?
>
> Sometimes thinking a bit about algorithms and the application at hand is
> even more beneficial than rolling out a super optimized implementation.
>
> just my 2 cents,
>
> joel
>
> On 04/17/2014 04:46 PM, Xiaopeng Yang wrote:
>
> Then do you think it is worthwhile to give a shot? Right now the algorithm
> I used for non-rigid registration takes about 6 min on a desktop with Intel
> Core i7 3.2Ghz and 32G Ram. I would like to get the results in almost real
> time, so I am thinking about implementing the GPU.
>
>
>
> Best regards,
>
> Xiaopeng
>
> *From:* Jim Miller [mailto:millerjv at gmail.com <millerjv at gmail.com>]
> *Sent:* Thursday, April 17, 2014 11:18 PM
> *To:* Xiaopeng Yang
> *Cc:* <insight-users at itk.org> <insight-users at itk.org>
> *Subject:* Re: [ITK-users] GPU support situation for ITK
>
>
>
> Implementing algorithms on the GPU is a skill. Also, it is tricky to get a
> GPU implementation to work across a large variety of GPUs.
>
> Jim
>
>
> On Apr 17, 2014, at 10:05 AM, "Xiaopeng Yang" <yxp233 at postech.ac.kr>
> wrote:
>
> Thank you Jim. I am still using ITK 3. I will try the latest version. By
> the way, is it difficult to implement the GPU to other algorithms? Can the
> GPU be implemented to all other algorithms?
>
>
>
> Thanks,
>
> Xiaopeng
>
>
>
> *From:* Jim Miller [mailto:millerjv at gmail.com <millerjv at gmail.com>]
> *Sent:* Thursday, April 17, 2014 10:46 PM
> *To:* Xiaopeng Yang
> *Cc:* <insight-users at itk.org>
> *Subject:* Re: [ITK-users] GPU support situation for ITK
>
>
>
> A framework for GPU filters is in place in ITK. A limited number of
> algorithms have been implemented using the GPU to serve as models as to how
> other algorithms can be implemented.
>
> Jim
>
>
> On Apr 17, 2014, at 9:25 AM, "Xiaopeng Yang" <yxp233 at postech.ac.kr> wrote:
>
> Dear Users,
>
>
>
> I am wondering what is the current situation of GPU implementation in ITK.
> For example, for segmentation algorithms like region growing and level set
> methods, has GPU been implemented? How about the registration algorithms?
> Thank you very much.
>
>
>
> Best regards,
>
> Xiaopeng
>
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