Article View: sci.math.num-analysis
Article #1047Short Course on Parallel Computation
From: Piyush Mehrotra
Date: Thu, 07 Jan 1993 19:26
Date: Thu, 07 Jan 1993 19:26
122 lines
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5088 bytes
ICASE/LaRC SHORT COURSE ON PARALLEL COMPUTATION
July 26-30, 1993
Radisson Hotel, Hampton, Virginia
We are pleased to announce that the Institute for Computer
Applications in Science and Engineering (ICASE) and NASA Langley Research
Center (LaRC) will conduct a Short Course on Parallel Computation at the
Radisson Hotel in Hampton, Virginia from July 26 to July 30, 1993.
The objective of this course is to provide scientists and engineers
with a fairly broad overview of parallel computing and the issues that
affect the performance of programs running on multiprocessor machines. The
course is intended for scientists and engineers who would like to exploit
the potential performance of the new parallel architectures for their
application needs.
The course is divided into three broad themes, Parallel Architectures,
Programming Languages and Tools, and Parallel Numerical Methods. There
will be two three-hour lectures a day, each covering a particular subtopic.
The topics and lecturers are:
I. PARALLEL ARCHITECTURES AND THEIR PERFORMANCE
Taxonomy of Parallel Architectures and Algorithms
- Geoffrey Fox, Syracuse University
1. Introduction to Parallel Computing
2. Classification of Architectures
3. Classification of Algorithms
Parallel Performance Measures
- David Nicol, The College of William and Mary
1. Parallel Complexity Measures
2. Factors Affecting Parallel Performance
II. PARALLEL PROGRAMMING LANGUAGES AND TOOLS
Message Passing and Heterogeneous Environments
- David Walker, Oak Ridge National Laboratories
1. Message Passing Model and the Emerging Standard
2. Programming Heterogeneous Environments
Programming Models and Languages
- Piyush Mehrotra, ICASE
1. Single Program Multiple Data (SPMD) Model
2. High Performance Fortran
3. Other Programming Models
Environment and Tools
- Daniel Reed, University of Illinois
1. Debuggers
2. Performance Prediction Tools
3. Performance Monitoring/Visualization
Compilers for Parallelism
- Ken Kennedy, Rice University
1. Program Analysis
2. Extracting Parallelism
3. Compiling for Distributed Memory Machines
Software Support for Irregular Problems
- Joel Saltz, University of Maryland
1. Sparse Linear Algebra
2. Self-Adaptive Unstructured Mesh Methods
3. Block Structured and Structured Adaptive Methods
III. PARALLEL NUMERICAL METHODS
Parallel Linear Algebra
- Ahmed Sameh, Center for Supercomputing Research & Development, IL
1. Matrix Primitives
2. Dense Matrix Computations
3. Iterative Sparse System Solvers
Partial Differential Equations: Global Methods
- John Van Rosendale, ICASE
1. Tensor Product Algorithms
2. Spectral and Spectral Element Methods
3. Multigrid Methods
Partial Differential Equations: Domain Decomposition Methods
- David Keyes, Yale University
1. Taxonomy of Domain Decomposition Methods
2. Nesting of Domain Decomposition with Nonlinear Iteration
3. Parallel Bottlenecks
There will be ample time for question and answer sessions with the
lecturers. Lecture notes will be made available prior to the course to
increase its effectiveness.
Due to space considerations, attendance will be limited to about 100
people. There will be a registration fee which is still undecided. If you
wish to attend or would like further information, please fill in the
attached form and return by MARCH 1, 1993 to:
Emily Todd
ICASE, Mail Stop 132C
NASA Langley Research Center
Hampton, VA 23681-0001
Telephone: (804) 864-2175
FAX: (804) 864-6134
E-mail: emily@icase.edu
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ICASE/LaRC SHORT COURSE ON PARALLEL COMPUTATION
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Path: arc1-ca.pugleaf.net!sparky!uunet!news.larc.nasa.gov!icase.edu!pm From: pm@icase.edu (Piyush Mehrotra) Newsgroups: sci.math.num-analysis Subject: Short Course on Parallel Computation Date: 7 Jan 1993 19:26:37 GMT Organization: ICASE Lines: 122 Distribution: world Message-ID: <1ii05dINN4uh@rave.larc.nasa.gov> Reply-To: pm@icase.edu NNTP-Posting-Host: bonito.icase.edu