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The Conference on High-Speed Computing
Salishan | Algorithms, Architecture, Language
LANL |LLNL | LBNL | SNL Los Alamos | Lawrence Livermore | Lawrence Berkeley |Sandia
I was honored to attend the US National Labs
Conference on High Speed Computing. Salishan
is a half-mile's walk from the beach, a picturesque,
mist-covered mountain resort that has been the setting
for the conference since its inception.
The Conference, founded in 1980, was founded as a means of
getting experts in computer architecture, languages, and algorithms
together to improve communications, develop collaborations, solve
problems of mutual interest, and provide effective leadership in the
field of high speed computing. Attendance is by invitation only, and
limited to about 170 of the best and brightest in the world.
This year's talks profiled recent developments in nanotechnology,
supercomputing, micro-electromechanical systems, large-scale networks,
memory architectures, data management, artificial intelligence,
molecular electronics, and a number of other technologies that will
significantly impact the future of information science and technology.
The meeting was a stimulating and challenging week of close interaction
with many of the most creative minds in the field. I'd like to extend
my gratitude to the many inspiring scientists with whom I had the
opportunity to meet at Salishan, and to those who helped to make my
attendance possible, including Doc Bedard, Horst
Simon, David Kahaner, Brett Berlin, Will Stackhouse, Jim McGraw,
Kathy Turnbeaugh, Dennis Bohnenkamp, and Lala Stone.
Scheduled
Talks
Application
Requirements and Current System Architectures
An Overview of Nuclear Stockpile Stewardship
James Mercer-Smith, Los Alamos National Laboratory
Requirements for Large-Scale Massively Parallel Computing
Robert Weaver, Los Alamos National Laboratory
Sandia C-Plant Clusters
Art Hale, Sandia National Laboratories
LLNL ASCI Platforms
Mark Seager, Lawrence Livermore National Laboratory
Future
System Architectures
HEC Architectures in the 21st Century: Drivers and Imperatives
Thomas Sterling, Caltech
High Performance and High Density Archives
Jim Hughes, StorageTek
Future Communications and Networking
Marc Beackon, Lucent Technologies
From
Problem Definition to Problem Setup
An Introduction to the Challenges of Problem Setup
Robert Leland, Sandia National Labs
Responses to Analysis / CAD Integration Perplexities
Ted Blacker, Fluent, Inc.
Computational Problem Setup: An Industrial Perspective
Todd Michal, Boeing
Unstructured Meshing
Glen Hanson, Los Alamos National Laboratory
A Heirarchical Data Management System for Parallel Partitioning of
Adaptive Communication
Joe Flaherty, Renssalaer Polytechnic University
CAD to Results: The Snowball Effect
David White, Cargegie-Mellon University
From
Problem Setup to Results
Performance Metrics: Out of the Dark Ages
David Bailey, Lawrence Berkeley National Laboratory
State of the Art in Programming Tools
John Levesque, Times N Systems
Addressing the Memory Bottleneck
Sally McKee, University of Utah
Random
Access Talks
NASA's digital library initiative
Eugene Miya, NASA Ames Research Center
Evolutionary Hardware
de Garis, Starlab NV/SA
OSCAR and the Open Cluster Group
ASCI Setup
Sandia National Laboratory
Self-adapting software
Jim Hughes, INFOSEC
Josephson Junction RSFQ Superconducting nanoelectronics
Fernand Bedard, National Security Agency
ATIP Activities in East Asia
David Kahaner, Asian Technology Information Program
Alan Huang, Stanford University
Norm Whittaker
From
Result Data to Insight
Is Visualization a Solved Problem?
Sam Uselton, Lawrence Livermore National Laboratory
Large Scale Scientific Data Management and Analysis
Alok Choudhary, Northwestern University
Can Data Mining Ever be a Gigabit Application? Lessons from DataSpace
Robert Grossmsan, University of Illinois, Chicago
Schooling in the Digital Age
Sara Armstrong, PhD, George Lucas Educational Foundation
MEMS:
Micro-Electrical Mechanical Systems
A Smaller Hammer
William S. Trimmer, Standard MEMS Inc.
MEMS Modeling: Pushing the Limits of Miniaturization
Robert Rudd, Lawrence Livermore National Laboratory
Artificial Brains and Self-Configuring Electronics
Artificial Brains: Today and Tomorrow
de Garis, Starlab NV/SA
Gate Array, Configure Thyself
Nick Macias, Cell Matrix Corp
An Approach to Designing Extremely Large, Extremely Parallel Systems
Lisa Durbeck, Cell Matrix Corp
Molecular
Computing and Myriad Nets
Defect Tolerant Molecular Electronics Algorithms, Architectures, and
Atoms
Philip Kuekes, Hewlett-Packard Laboratories
Myriad Nets: De-Layering to Scale Networks up to the Billions
H. Shrikumar, MIT Media Laboratory
Future
Directions
Programming a Paintable Computer
Bill Butera, MIT Media Laboratory
The Future of High Performance Computing: Dynamic Translation and High
Density Computing
Dave Taylor, Transmeta Corporat |
