Salishan 2012

Theme: 2015 Petascale Systems: Next Steps

Keynote Address: DOE's Plan for Exascale Computing, Bill Harrod, DOE/Office of Science; ThucHoang, DOE/NNSA-ASC

Session 1: Computing at Scale: how are we doing at mixing Big Data with traditional Parallel Scientific Computing?

• Where is coherency needed?  Can we mix High Throughput and Data-intensive computing with traditional Parallel Scientific Computing on large HPC systems?, Ilene Carpenter, National Renewable Energy Laboratory
• Big iron for big data and other unnatural acts, Steve Plimpton, Sandia National Laboratories
• The Interdependence of Data, Modeling, Simulation and Analytics in the Exascale Era, James Sexton, IBM Thomas J. Watson Research Center
• Data Analysis and Data Intensive Computing at LLNL, Daniel Laney, Lawrence Livermore National Laboratory

Session 2: Error Avoidance, Detection and Recovery

• Resilience Strategies for Future Systems, Bronis de Supinski, Lawrence Livermore National Laboratory
• Resilience - From Black Sheep to Black Swan, Nathan DeBardeleben, Los Alamos National Laboratory
• On Determining a Viable Path to Resilience at Exascale, Frank Mueller, North Carolina State University
• European Intel  Exascale labs: 4 collaborative competence centers for enabling software co-design, Marie-Christine Sawley, Intel Corporation

Working Dinner/Speaker

• IBM “Watson”:  Beyond playing Jeopardy!, Katharine Frase, IBM Corporation

Session 3: Application/Machine Hierarchy

• Steering the Ship in the Face of a Tidal Wave: Co-design Strategy at LLNL, Rob Neely, Lawrence Livermore National Laboratory
• How Could Applications Developers Respond to Hierarchical Architectures?, Tim Kelley, Los Alamos National Laboratory
• Automating Application Mapping with Autotuning: Paving the Way for Exascale, Mary Hall, University of Utah
• OpenMP: An Evolutionary Programming Model Can Benefit From Revolutionary Support, Barbara Chapman, University of Houston

Session 4: Performance and Portability on Low Power Processors

• Processing Nearer to Memory, J. Thomas Pawlowski, Chief Technologist & Micron Fellow, Micron
• Improving Permeability in System Architecture, Doug Carmean, Intel Fellow and Director of the Efficient Computing Lab, Intel Corporation
• Towards High Performance Computing Application Energy Efficiency, James H. Laros, Sandia National Laboratories
• Nanophotonic Interconnection Networks for System Wide Performance-Energy Optimized Computing, Keren Bergman, Columbia University

Session 5: Experiences and Lessons learned with New Architectures

• Tracking the Effects of Technology and Architecture on Energy through the Top500, Green500, and Graph500, Peter Kogge, University of Notre Dame
• Effective performance of K computer in Life Science Applications, Ryutaro Himeno, Next Generation Computational Science Program, RIKEN
• Peta-scale GPU applications on TSUBAME 2.0, Takayuki Aoki, Global Scientific Information and Computing Center, Tokyo Institute of Technology
• Aggressively Applying Lessons from the Cell Processor to Emerging Exascale Computing Technologies, Paul R. Woodward, Laboratory for Computational Science & Engineering, University of Minnesota

*will not be posted