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Workshop on Leadership-class Machines, Petascale Applications, and Performance Strategies

by admin last modified 2009-08-04 04:10

July 27-30, 2009, Granlibakken Resort and Conference Center, Tahoe City, CA, USA

Organizers

  • Rusty Lusk (Argonne National Lab), "lusk" AT "mcs.anl.gov"
  • Pete Beckman (Argonne National Lab), "beckman" AT "mcs.anl.gov"


Abstract


Goals:
  • Become familiar with the architecture, operation, and usability issues for each of the DOE Leadership Class Facilities.
  • Understand application scaling bottlenecks on the systems.
  • Learn strategies for achieving good performance with message passing and I/O libraries.
  • Explore new programming models, languages, and techniques that can provide scalable performance.
  • Learn the tools and suggest strategies for understanding the performance of petascale applications.


Tentative Agenda

Day 1 - Monday, July 27

Morning Afternoon Evening
  • 6:30-8:00: Dinner


Day 2 - Tuesday, July 28

Morning Afternoon Evening
  • 5:00-7:00: Dinner
  • 7:00 - ???: Late Night hacking: study codes and challenges.


Day 3 - Wednesday, July 29

Morning Afternoon
  • 12:00 - 1:30: Lunch
  • 1:30 - 7:00: Hands on work with MPI, performance tools, MPI-IO, ...
Evening
  • 7:00 - 8:30: Dinner
  • 8:30- ???: Late night hacking: continue collaborative work


Day 4 - Thursday, July 30

Morning
  • 7:45 - 8:30: Breakfast
  • 8:30 - 9:30: Introduction to UPC, Rajesh Nishtala
  • 9:30 - 10:00: Parallel I/O (part 2), Rob Ross
  • 10:00 - 10:30: Break
  • 10:30 - 11:00 Parallel I/O (part 3), Rob Ross
  • 11:00 - 12:30: Visualization, Mark Hereld (Argonne National Laboratory)

Afternoon
  • 12:30-2:00: Lunch
  • 2:00-5:30: Hands on work with MPI, performance tools, MPI-IO, ...
  • 5:30-6:00: Final discussion and workshop wrap-up
Evening
  • Dinner
  • 8:30- ???: Late night hacking: continue collaborative work


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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