Visualization and analysis of GPU summer school applicants and participants

Elaine Wah, Erik Johnson, Loretta Auvil, Umesh Thakkar, Wen Mei Hwu, David Kirk, Thom H. Dunning, Sharon C. Glotzer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

With the recent development of petascale computing systems, a long-term effort is needed to educate and train the next generation of researchers. As part of its graduate education component, the Virtual School of Computational Science and Engineering held a summer school in August 2008 entitled "Accelerators for Science and Engineering Applications," providing participants with knowledge and hands-on experience with graphics processing units (GPUs). In this paper, we present visualizations exploring the broad spectrum of summer school applicants and participants. We examine demographic information of the overall applicant pool, accepted and attending applicants, and remote participants, as well as apply hierarchical clustering and rule association techniques to all applicant data. These statistical and data mining analyses demonstrate the wide range of fields of study where research applications can be readily accelerated through the use of massively parallel computing resources.

Original languageEnglish (US)
Title of host publicationProceedings - 4th IEEE International Conference on eScience, eScience 2008
Pages362-363
Number of pages2
DOIs
StatePublished - Dec 1 2008
Externally publishedYes
Event4th IEEE International Conference on eScience, eScience 2008 - Indianapolis, IN, United States
Duration: Dec 7 2008Dec 12 2008

Publication series

NameProceedings - 4th IEEE International Conference on eScience, eScience 2008

Other

Other4th IEEE International Conference on eScience, eScience 2008
CountryUnited States
CityIndianapolis, IN
Period12/7/0812/12/08

Keywords

  • Clustering
  • Data mining
  • Education
  • GPU
  • Rule association
  • Visualization

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Software

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  • Cite this

    Wah, E., Johnson, E., Auvil, L., Thakkar, U., Hwu, W. M., Kirk, D., Dunning, T. H., & Glotzer, S. C. (2008). Visualization and analysis of GPU summer school applicants and participants. In Proceedings - 4th IEEE International Conference on eScience, eScience 2008 (pp. 362-363). [4736797] (Proceedings - 4th IEEE International Conference on eScience, eScience 2008). https://doi.org/10.1109/eScience.2008.134