bcy@lanl.gov (Bonnie C Yantis) (04/04/91)
Summer 1991
Los Alamos Workshop on Computational Science
May 28 - August 23, 1991
Los Alamos National Laboratory
Los Alamos, New Mexico
Deadline for Application: April 19, 1991
Cost: No charge
Full-time immersion workshop, designed to provide advanced education for
high performance computing use in computationally-intensive research, will
address science, computing, and collaboration. For:
* Scientists and engineers in computer-intensive research fields
* Computer scientists and computer engineers
* Educators in science, engineering, and computing
* Graduate students, recent graduates, and others embarking on careers
in computer-intensive scientific research fields
* Graduate students, recent graduates, and others embarking on careers
in computer science and computer engineering
Seminars in computational science, plus work on computing aspects of their
own research, for ten or fifteen scientists, engineers, and educators from
Los Alamos, research laboratories, and academia, balancing research topics
in sciences, engineering, and computer science to promote an
interdisciplinary exchange.
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Los Alamos National Laboratory Computational Science
Los Alamos, New Mexico 87545 Summer Workshop
May 28 - August 23, 1991
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The Computing and Communications Division and the Advanced Computing
Laboratory invite you to participate in the Summer 1991 Workshop on
Computational Science.
The full-time immersion workshop, designed to provide advanced education
for high-performance computing use in computationally intensive research,
will address science, computing, and collaboration. Specific aims are to:
* Provide participating scientists and engineers in computer-intensive
research fields with a multidisciplinary environment that will promote
an exploration of advanced computational science methodology as it
relates to their professional activities and will promote
experimentation with intimate multidisciplinary science collaboration.
* Provide computer scientists and computer engineers with an
interdisciplinary environment that will promote an exploration of
computer science and computer engineering research topics as they
relate to the problems and constraints of contemporary computationally
intensive scientific research and will promote experimentation with
intimate multidisciplinary science collaboration.
* Provide educators in science, engineering, and computing with an
environment that will promote an exploration of high-performance
computing methodologies and will enhance academic programs with
computationally intensive research strategies and an understanding of
scientific computing.
* Provide graduate students, recent graduates, and others embarking on
careers in computer-intensive scientific research fields with hands-on
exposure to high-performance computing methodologies of importance to
their professional activities, and integrate this as much as possible
with participants' regular research work.
* Provide graduate students, recent graduates, and others embarking on
careers in computer science and computer engineering with an
environment that will promote exploration of algorithmic and
architecture concepts, related system issues, and the problems and
constraints of the scientific disciplines that apply these concepts.
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Structure
This workshop provides an interdisciplinary environment for scientists,
engineers, and educators. It is centered on seminars on concepts and
issues in computational science with discussions led by local and visiting
lecturers. Participants work on computing aspects of their own research
and learn how to evaluate computational strategies in the context of their
own discipline by exploring the effects of a variety of architectures on
their own application codes. Participants will be drawn from Los Alamos
National Laboratory, research laboratories, and academia, balancing
research topics in sciences, engineering, and computer science to promote
an interdisciplinary exchange.
Schedule
The full-time workshop will be 12 weeks. Seminars and discussions are
scheduled about a third of the time. The rest of the time is devoted to
aspects of the participant's research. Participants are expected to focus
their efforts on the workshop without the distraction of other projects or
activities outside of their own workshop research.
Seminar Topics
* What is high-performance computing?
* Comparative computer architectures and operating systems
* Communications and networks
* Code analysis and optimizations
* Software design
* Scientific computing languages, including Fortran, C, C++, and
Mathematica
* Scientific algorithms, numerical methods, data structures
* Vectorization and parallelization
* Scientific graphics and visualization
* Distributed workstation environments
* Large-scale scientific research and simulations
* Intimate multidisciplinary science collaboration
Cost: No charge.
Deadline for Application: April 19, 1991
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Selection of Participants
Ten or fifteen participants will be chosen using the following criteria:
* Working knowledge of Fortran or C and one operating system
* Computer-intensive research topic
* Balance of research topics in sciences, engineering, and computer
science; and the possibility of interdisciplinary exchanges between
participants.
* Willingness to serve as consultants or models for others interested in
promoting the integration of high-performance computing technology
into research.
Computing Facilities
Each participant will be provided with a workstation in a common office
area, consulting, and computer accounts for a variety of systems:
* Connection Machine CM-2
* Cray Y-MP
* Convex C220
* IBM 3090 600E/VF
* Other advanced architecture machines
Scientific workstations available to participants include Sun, Macintosh
II, IBM RISC 6000, and NeXT. High-performance graphics workstations, such
as Ardent Titan, FPS, and SGI 4D/380 GTX, are also available.
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For further information, contact:
Ann Solem or Pat Malone
Group C-2, MS B253
Los Alamos National Laboratory
Los Alamos, NM 87545 USA
Telephone: (505) 667-5460
FAX: (505) 667-4361
Electronic mail: WPCS@LANL.GOV
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