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Scientific Data and Analytics for Extreme-scale Computing

by John Mellor-Crummey last modified 2012-08-02 11:07

July 30 - August 2, 2012, Snowbird Ski & Summer Resort, Snowbird, UT, USA

Organizers




Abstract

This workshop explores computer science topics at the intersection of storage, analysis, and data-intensive computational science. Traditionally, computation, storage, and analysis were viewed as three separate tasks, but as supercomputers and data increase in size and complexity, this isolated view is no longer practical. By considering these topics together, we hope to uncover potential efficiency and scalability, and see the connections between these areas as the week progresses.

Within this broad scope, relevant topics can include data models, run-time and postprocessing analysis and visualization techniques, I/O systems and optimizations, data mining and machine learning, and the application of all of the above in science codes. However, we welcome you to think beyond these topics and propose new problems and solutions. While we value solutions that are ready to use today, we encourage research that is 1-5 years out as well. The workshop features ample opportunity for discussion following each set of talks, as well as open time for one-on-one collaborations.


Final Agenda

Monday, July 30

Morning
Afternoon
Evening
  • 6:30-8:00: Dinner buffet provided
  • 8:00 - ?: Late-night hacking, meeting room open for continued collaboration


Tuesday, July 31

Morning Afternoon Evening
  • 6:30 - 8:00: Dinner buffet provided
  • 8:00 - ?: Late-night hacking, meeting room open for continued collaboration


Wednesday, August 1

Morning Afternoon
  • 12:00 - 1:30: Lunch buffet provided
  • 1:30: Hands-on time for one-on-one collaboration
Evening
  • 6:30 - 8:00: Dinner provided
  • 8:00 - ?: Late night hacking: meeting room open for continued collaboration


Thursday, August 2

Morning
  • 7:00 - 8:30: Breakfast buffet provided
  • 8:30: Panel discussions synthesizing current and future challenges and solutions to data size, data complexity, emerging architectures, software systems, and scientific discovery (60 minutes each)
    • Panel 1: The effect of emerging architectures on data science
    • Panel 2: Interaction between computer and computational science and scientists
      • Tim Tautges
      • Dave Pugmire
      • Janine Bennett
      • Valerio Pascucci
    • Panel 3: Making sense of growing data size and complexity
      • Valerio Pascucci
      • Rob Jacob
      • Stefan Wild
      • Chris Johnson

Afternoon
  • 12:00 - 1:30: Lunch provided
  • Adjourn. Remaining time for one-on-one collaboration
Evening
  • Dinner
  • 6:30 - 8:00: Dinner buffet provided
  • 8:00 - ?: Late night hacking: meeting room open for continued collaboration


Friday, August 3

Departure day

Sponsors

This workshop is sponsored by the Center for Scalable Application Development Software, with funding from the DOE Office of Science through the Scientific Discovery through Advanced Computing (SciDAC) program.

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CScADS Collaborators include:

Rice University ANL UCB UTK WISC