From pmurphy at nrao.edu  Tue Sep  3 09:30:20 2024
From: pmurphy at nrao.edu (Patrick P Murphy)
Date: Tue, 3 Sep 2024 09:30:20 -0400
Subject: [fitswcs] [forwarded] Re: [fitsbits] Enquiry about GPU-accelerated
 WCS implementations {External} {External}
Message-ID: <26327.3948.247509.529860@gargle.gargle.HOWL>

As the poster is not a member of fitswcs, but the content is relevant,
I'm forwarding this to the list.  Apologies to those of you also on
fitsbits who have already seen it.

 - Pat

------- start of forwarded message -------
From: Francois-Xavier PINEAU <francois-xavier.pineau at astro.unistra.fr>
To: Xiaotong Li <xiaotong.li at eng.ox.ac.uk>,
        "fitswcs at nrao.edu" <fitswcs at nrao.edu>,
        "fitsbits at nrao.edu"
 <fitsbits at nrao.edu>
Cc: Matthieu BAUMANN <matthieu.baumann at astro.unistra.fr>
Subject: Re: [fitsbits] Enquiry about GPU-accelerated WCS implementations
 {External} {External}
Date: Mon, 2 Sep 2024 14:33:50 +0200
In-Reply-To: <CWXP265MB39929F3866AE32A953A8BA18958B2 at CWXP265MB3992.GBRP265.PROD.OUTLOOK.COM>

Hi Xiotong,


I am not sure that's what your are looking for (we may discuss it off-list if
you wish),
but just in case:


Aladin Lite contains a mix of CPU/GPU WCS functionalities (not exhaustive at
all).
The GLSL part of the code is available here:
https://github.com/cds-astro/aladin-lite/tree/master/src/glsl/webgl2/projection


And the CPU part (in Rust) is here:
* https://github.com/cds-astro/wcs-rs/
* https://github.com/cds-astro/cds-mapproj-rust


I am not sure how you can test it (but any feedback, error correction,
precision/performance improvement, ... is welcome).


Kind regards,



fx




Le 26/08/2024 ? 13:53, Xiaotong Li via fitsbits a ?crit?:

    Hi,

    I am a researcher at the University of Oxford.?

    Recently, I developed a few GPU-accelerated kernels for transformation
    functions in WCSLIB, such as wcsp2s() and wcss2p(). I am curious to know if
    there are any existing GPU-accelerated WCS implementations available. If
    so, I would like to compare the performance of my work with the existing
    solutions.

    Thank you for your time and help.

    Many thanks,

    Xiaotong

    Xiaotong Li
    Oxford e-Research Centre
    University of Oxford

   
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------- end of forwarded message -------

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