Best practices in running collaborative GPU Hackathons: Advancing scientific applications with a sustained impact

Sunita Chandrasekaran; Guido Juckeland; Meifeng Lin; Matthew Otten; Dirk Pleiter; John E. Stone; Juan Lucio-Vega; Michael Zingale; Fernanda Foertter

doi:10.1109/MCSE.2018.042781332

Best practices in running collaborative GPU Hackathons: Advancing scientific applications with a sustained impact

Sunita Chandrasekaran, Guido Juckeland, Meifeng Lin, Matthew Otten, Dirk Pleiter, John E. Stone, Juan Lucio-Vega, Michael Zingale, Fernanda Foertter

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

Abstract

This article highlights the Oak Ridge Leadership Compute Facilitys GPU Hackathon, presenting the training format used, trends observed, and reasons for teams successes and failures. It also summarizes participant outcomes and takeaways while demonstrating how educators could adopt this hackathon format for use in their respective institutions.

Original language	English
Pages (from-to)	95-106
Number of pages	12
Journal	Computing in Science and Engineering
Volume	20
Issue number	4
DOIs	https://doi.org/10.1109/MCSE.2018.042781332
State	Published - Jul 1 2018
Externally published	Yes

Funding

These hackathons would not have been successful without the help of some very important players: Duncan Poole, Pat Brooks, Julia Levites, Mat Colgrove, Michael Wolfe, Brent Leback, Robert Searles, Kyle Friedline, and Andy Novocin, among others. Special thanks to Dana Hammond, Cara Campbell Leckey, Elizabeth Gregory, and William Schneck of NASA for contributing case studies from their hackathons. John E. Stone acknowledges support from NIH grant 9P41GM104601.

Funders	Funder number
National Institutes of Health	9P41GM104601

Keywords

education
GPU
hackathon
scientific computing

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10.1109/MCSE.2018.042781332

Cite this

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Best practices in running collaborative GPU Hackathons: Advancing scientific applications with a sustained impact

Abstract

Funding

Keywords

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