Santa Fe GPU Hackathon Team Application
The 2019 Santa Fe GPU Hackathon will be taking place at the Drury Plaza Hotel in Santa Fe, NM from March 11 through March 15.

The focus of this hackathon is to have teams of developers work with expert mentors on porting or tuning applications for running on GPU platforms.

Disclaimer :
Your information is used only to contact you about the 2019 Santa Fe GPU Hackathon, to evaluate your team's readiness for the hackathon, and to help us pair your team with expert GPU programmers to serve as mentors

We ask that you don’t book any hotels or travel until you have been contacted by a representative of Fluid Numerics,LLC confirming your attendance. Thanks for applying !

Email address *
Team Name *
Your answer
Primary Contact Name *
Please provide the first and last name for a primary contact for your team.
Your answer
How many developers/researchers from your team plan on attending the Santa Fe GPU Hackathon ? *
We ask that teams have at least 3 members, but no more than 6.
Tell us about your team *
Let us know who may be planning to attend with you and indicate their role in your project. What is their level of expertise in the science and software development ?
Your answer
Tell us about your code *
Provide us with a description of your science, algorithms, code maturity, and the level of parallelism already implemented in your code. This information really helps us pair you with expert GPU programming mentors
Your answer
Is your code subject to export control ? *
Programming Language *
Indicate which language(s) your code is written in. Select all that apply
Parallel APIs *
Let us know which parallel API's your team is familiar with or are currently implemented (and working) in your code. Check all that apply.
Development Strategies
Let us know what GPU programming languages, API's, or libraries you are interested in working on at the Santa Fe GPU Hackathon. Check all that apply.
Compiler Compatibility *
Let us know which compilers you know you can compile and run your code with. Check all that apply.
At what compute facilities do you currently run your application. *
Check all that apply. If you run at other locations, check "Other" and fill in all resources
What is the licensing of your application ? *
If "Other", please explain.
If your license is not listed in the above dropdown list, your code is not licensed, or your code is closed source, let us know a little bit more about how your code is licensed.
Your answer
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