New Mexico Supercomputing Challenge

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Quote:
My experience with the challenge was not always the best, and I was even discouraged about re-entering the competition this year because of the difficulty that my team had when trying to make a computer model. However, with much help from many judges and adults, my team members and I completed our project and had fun in the process. It was difficult, and it took us many long nights to complete all our project. In the end, the things that we learned about modeling and science in general made all of the hard work worth it. Thank you so much for providing New Mexico students with the opportunity to participate in something like this. It is so obvious how much every person who puts effort into this program cares about educating young people about science. I appreciate everything you have done for me and my team members. Lindsay, McCurdy High

ExcellAnts

Team: 66

School: Los Alamos High

Area of Science: Biology

Proposal: Ant Colony Optimizations (ACOs) are a family of optimization algorithms used to generate solutions to combinatorial optimization problems. These problems show up in many real world situations. Using the knowledge we gained last year working on dynamic ACOs, we plan to create a more robust, efficient, and parallel ACO. It will be applied to a suitable problem for dynamic changes in the problem set. We hope to have it run on a GPU. We will write our program using C/C++ and CUDA with an optional OpenGL interface.

Team Members:

Dustin Tauxe
Peter Ahrens

Sponsoring Teacher: Lee Goodwin

Mail the entire Team

For questions about the Supercomputing Challenge, a 501(c)3 organization, contact us at: consult @ challenge.nm.org

New Mexico Supercomputing Challenge, Inc.
Post Office Box 30102
Albuquerque, New Mexico 87190
(505) 667-2864

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