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Salishan 2010
Theme: Tackling Big Data: HPC Approaches to Informatics
Keynote Address: Amdahl’s Law and Extreme Data Intensive Computing, Alexander S. Szalay, The Johns Hopkins University
Session 1: Applications
Session 2: Methods
- The Emerging Data Informatics Architecture, Boyd T. Livingston, National Security Agency (NSA)
- Pregel: A Model for Distributed, Large-Scale Graph Processing, James C. Dehnert, Google, Inc.*
- Network Discovery, Characterization and Prediction: A “Grand Challenge” Research Project, David Rogers, Sandia National Laboratories
- The Spectrum of Data Intensive Computing Activities at LANL, Francis J. Alexander, Los Alamos National Laboratory
Working Dinner/Speaker
- Computing at Extreme Scale, Stuart Feldman, Google*
Session 3: Large Data Environments
Session 4: Architectures for Data Intensive Computing
Session 5: Programming Models
- Killer Micros II: The Software Strikes Back, Burton Smith, Microsoft Corporation
- Methods for Enabling Next Generation Knowledge Discovery, Ryutaro Himeno, Shoaib Mufti, Cray, Inc.
- Requirements and Performance of Data Intensive, Irregular Applications, John Feo, Pacific Northwest National Laboratory
- Programming Models for Data Intensive Computing on the LexisNexis High Performance Computing Cluster, John Holt, LexisNexis
*will not be posted
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