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

Physics and Astronomy

University of Delaware
Helmholtz-Zentrum Dresden-Rossendorf
Brookhaven National Laboratory
Cornell University
Jülich Research Centre
University of Illinois at Urbana-Champaign
NVIDIA

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

8 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

Keywords

education
GPU
hackathon
scientific computing

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10.1109/MCSE.2018.042781332

Cite this

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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.",

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AU - Zingale, Michael

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

Abstract

Keywords

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