[Baypiggies] Calling presenters for 2011

Tony Cappellini tony at tcapp.com
Thu Jan 6 08:01:24 CET 2011


February is already taken though..
Let us know if you are available for another month,

Thanks

On Wed, Jan 5, 2011 at 1:41 AM, Ken Seehart <ken at seehart.com> wrote:

>  On 12/22/2010 9:52 PM, Tony Cappellini wrote:
>
> Since someone kicked off a thread regarding unit test frameworks and
> since there were so many replies,
> who wants to pony up to do a presentation in early 2011?
>
> I think we have someone for January- so Feb-Dec is wide open.
> Do I have any takers ????
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>
> I'm doing a poster at PYCON.  I'm not available on the Jan 27 baypiggies,
> but if Feb 24 is open, I can give a preview then.  Otherwise perhaps a
> postview....
>
> GPU computing and the Next Generation Air Transportation System
> At this poster you will learn about a set of open source tools for GPU
> computing using python based on ctypes. These tools provide lots of glue,
> combining elements of python <=> pyglet <=> CUDA <=> C# <=> Django. You will
> see how we use these tools in our Next Generation Air Transportation work.
>
> *Type*: Poster
>
> NextGen AeroSciences, LLC <http://www.NextAero.com/> NextGen AeroSciences,
> LLC, is working with colleagues at NASA, NIA, and other US Government and
> related organizations in support of national efforts to transform the US air
> transportation system. The Company builds on its founders' contributions in
> applied research in complexity and network sciences, computationally
> efficient combinatorial mathematics, and in air transportation system
> strategies, technologies, and innovation management. The founders bring a
> heritage from the Santa Fe Institute, NASA, Los Alamos National Laboratory,
> Bios Group, and DayJet Corporation.
>
> [image: job control panel]<http://www.nextsciences.com/Assets/job_panel_screen.jpg> [image:
> 200 aircraft] <http://www.nextsciences.com/Assets/aerodisplay_screen.jpg>
> The following tools (and possibly others) will be described:
>
>    - ct_cuda provides a ctypes interface to CUDA. This approach offers a
>    lightweight alternative to pycuda. ct_cuda does not require a build; a
>    relief for those who consider ctypes a preferable alternative to python
>    extension wrapper libraries. Another difference is that kernels are built in
>    the standard CUDA-C manner and exposed to python as kernel libraries via
>    ctypes.
>
>
>    - boaracuda consists of glue to make CUDA accessible to a pyglet app.
>    Among other benefits, this allows a CUDA kernel to operate on pyglet based
>    vertex lists. This approach enables fast-time animation tens of thousands of
>    sprites in pyglet with trajectories calculated in a CUDA kernel. (Etymology
>    hint: boar=pyglet)
>
>
>    - ct_sharp makes a python shell available to C#, suitable for launching
>    a pyglet control thread.
>
>
>    - cuda_sharp makes CUDA available to C# and provides interoperability
>    between C# and python (e.g. passing CUDA buffers between C# and python)
>
>
>    - A system for launching remote CUDA jobs from a Django application
>    will also be described.
>
> The implementation of this software architecture provides the means for
> understanding, designing, and ultimately operating complex adaptive systems
> such as in air transportation.
>
> *Audience level*: Experienced
>
> *Submitting speaker*: Ken Seehart
>
>
>
>
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