Important Dates:
February 16, 2016: Submissions open
July 31, 2016: Submissions deadline
September 1, 2016: Notifications sent
A new format for 2016!
SC16’s Visualization and Data Analytics Showcase Program provides a forum for the year’s most instrumental movies in HPC. This year, there will be both a live display throughout the conference so that attendees can experience and enjoy the latest in science and engineering HPC results expressed through state-of-the-art visualization technologies, and a session at SC16 dedicated to the best of the submissions.
Selected entries will be displayed live in a museum/art gallery format and six finalists will compete for the Best Visualization Award, with each finalist presenting his or her movie in a 15-minute presentation.
Movies are judged based on how their movie illuminates science, by the quality of the movie, and for innovations in the process used for creating the movie.
The six finalist submissions will appear as short papers on the SC16 webpage and archive.
Review and selection process:
Submissions need to include a movie (up to 250MB in size) and a short paper (up to 4 pages including references). The short paper should describe the scientific story conveyed by the movie, how the visualization helps scientific discovery, and the “state-of-the-practice” information (ieeevis.org)information behind making the movie.
Each submission will be peer reviewed by the Visualization and Data Analytics Showcase Committee. Criteria for review include:
- How effective is the visual communication of the data?
- How relevant to the HPC community is the visualization?
- What is the impact of the science story and how well is it told?
- What visualization techniques were necessary to create the movie?
Finally, submissions should support SC16’s overall theme “HPC matters.”
Web Submissions: https://submissions.supercomputing.org/
Email Contact: vis_showcase@info.supercomputing.org
SC16 Visualization Showcase Chair
Chris Johnson, University of Utah
SC16 Visualization Showcase Vice Chair
Kristin Potter, University of Oregon