This copy of the Table of Contents of Volume 1 is for reference
only. Please switch discs to Volume 1 and load index.html
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Contents of Volume 1 -- Lectures and Instructional
Materials for Computational Science
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CPS 615 -- Computational Science for Simulation Applications
Lectures from CPS 615 and other courses in Syracuse University's Computational
Science Curriculum. This course is designed to teach the basic tools from
mathematics and computer science that are needed to give computational
solutions to scientific and engineering problems. As taught by Prof. Geoffrey
C. Fox in Fall 1998 and previous offerings. Includes 33 foil sets containing
more than 1900 foils.
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Computational Science/Parallel Processing Training & Educational
Material Archive
This resource page focuses on the use of Java for computational science
and engineering including simulations, large scale data-intensive applications,
and other applications combining computing and communication
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NHSE - National HPCC Software Exchange Resources
The NHSE is an interdisciplinary effort to facilitate the development
and distribution of software enabling technologies for high-performance
computing and communications (HPCC). Included in resource list are
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Glossary
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Survey of Hardware
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Summary of Architecture
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A Paper on Petaflops Computing
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ScaLAPACK tutorial
An online tutorial of ScaLAPACK presented by Susan Blackford. Also
includes information on Linear Algebra PACKage (LAPACK). Describes in detail
the ScaLAPACK design and implemntation.
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Concurrent Visualization and Computation: An Overview
Covers topics such as Remote monitoring and steering of a [parallel]
application including interactive visualization, interactive data access,
reduce unnecessary computation/storage, interactively change application
params.
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Application of Parallel Computers
Classes delivered at UC Berkeley in Spring 96. The course was taught
by Jim Demmel. This class will equip students to use existing parallel
computers, (networks of) high-performance workstations, and vector computers
to solve large computational problems in engineering and science. We will
discuss parallel computer architectures and software systems so as to understand
their capabilities, limitations, and costs.
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Language and System References
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High Performance Fortran in Practice
An introductoin to High Performance Fortran, discussing HPF and its
performance, and the data-parallel programming model.
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Java for CSE
This resource page focuses on the use of Java for computational science
and engineering including simulations, large scale data-intensive applications,
and other applications combining computing and communication
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Virtual Programming Laboratory
VPL provides users with a parallel programming environment that is
accessible using standard Web browsers. Users can access their virtual
user accounts through this Web interface and use NPAC high performance
computational resources (both hardware and software). VPL provides everything
required to develop and run MPI and HPF programs.