Organizers

• Tom Peterka, "tpeterka" AT "mcs.anl.gov"
• Rob Ross, "rross" AT "mcs.anl.gov"
• Rusty Lusk, "lusk" AT "mcs.anl.gov"
• Pete Beckman, "beckman" AT "mcs.anl.gov"

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

• 7:00 - 8:30: Breakfast buffet provided
• 8:30 Tom Peterka Welcome
• Application introductions. Application scientists give short talks on their domain and data challenges they face. (15 minutes each)
  • Janine Bennett
  • Rainer Moll
  • Rob Jacob
  • Cho-Kuen Ng
  • Anthony Scopatz
  • Adrian Pope

• 12:00 - 1:30: Lunch buffet provided
• 1:30 Data infrastructures, systems, and libraries (30 minutes each)
• Quincey Koziol
• Dries Kimpe
• Venkat Vishwanath

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

Tuesday, July 31

• 7:00 - 8:30: Breakfast buffet provided
• 8:30: Data models and their influence on computation, I/O, analysis, and visualization (30 minutes each)
• Saba Sehrish
• Utkarsh Ayachit
• Tim Tautges

• 12:00 - 1:30: Lunch buffet provided
• 1:30: Data analysis and visualization infrastructures (30 minutes each)
• Tom Peterka
• Ken Moreland
• Ollie Lo

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

Wednesday, August 1

• 7:00 - 8:30: Breakfast buffet provided
• 8:30: Data analysis and visualization techniques (30 minutes each)
• Stefan Wild
• Timo Bremer
• Valerio Pascucci more
• Kwan-Liu Ma
• Dave Pugmire

• 12:00 - 1:30: Lunch buffet provided
• 1:30: Hands-on time for one-on-one collaboration

• 6:30 - 8:00: Dinner provided
• 8:00 - ?: Late night hacking: meeting room open for continued collaboration

Thursday, August 2

• 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
• Phil Roth
• Adrian Pope
• Ken Moreland
• Ollie Lo
• 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

• 12:00 - 1:30: Lunch provided
• Adjourn. Remaining time for one-on-one collaboration

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

Friday, August 3

Sponsors