Computational Science Education

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Table of Contents

• Survey Articles
• CS&E Education Programs
• Books, Course Materials, and Tutorials
• Short Courses and Workshops

Survey Articles

• Survey of Parallel Processing Education, by Russ Miller, describes the status of parallel processing education at the post-secondary level

Computational Science and Engineering Education Programs

• Adventures in Supercomputing, for high school and middle school teachers
• Arizona State University Mathematics Department
• Boston University Center for Computational Science
• Caltech Applied Mathematics Department
• Caltech Computer Science Department
• Computing Maths, Cardiff University of Wales
• Carnegie Mellon University School of Computer Science
• Carnegie Mellon University Mathematics Department, Ph.D. program in Scientific Computing
• Clemson University Computational Science and Engineering Resource
• Columbia University Computer Science
• Cornell Theory Center Education Programs
• Cornell University Computer Science
• Dartmouth College Computer Science
• DOE Computational Science Graduate Fellowship Program
• Duke University Computer Science
• Edinburgh Parallel Computing Centre Training and Education Centre (or EPCC-TEC)
• Georgia Institute of Technology
• Hokkaido University, Japan
• Indiana University Computer Science
• Institute for Computational Science and Informatics, George Mason University
• Institute for Industrial Mathematics, University of Linz, Austria
• Johns Hopkins University Department of Biomedical Engineering, Computational Biology Program
• Joint Institute for Computational Science (JICS), University of Tennessee
• Lawrence Berkeley National Laboratory Mathematics Department
• Lund University, Sweden
• Manchester Centre for Computational Mathematics
• Manchester and North HPC Training & Education Centre
• MIT Laboratory for Computer Science
• NCSA K-12 Education Program
• North Carolina State University Numerical Analysis
• Northeast Parallel Architectures Center (NPAC), Syracuse University
• Northwestern University Electrical Engineering and Computer Science
• Old Dominion University
• Oregon Graduate Institute
• Partners in Parallel Education program, Portland Group, Inc.
• Princeton Department of Computer Science
• Purdue University Computational Science and Engineering Program
• Rice University Computational and Applied Mathematics Department
• Rutgers University Computer Science
• Scientific Computing/Computational Mathematics (SCCM) Program, Stanford University
• SIAM's Undergraduate Mathematics
• Stanford University Computer Science Division
• State University of New York (SUNY) at Stony Brook - Applied Mathematics and Statistics
• Training Program in High Performance Computing for the Physical Sciences at the University of Washington
• UMIACS (Univ of Maryland Institute for Advanced Computer Studies)
• Universtity of California at Berkeley Computer Science
• Universtity of California at San Diego
• University of California at Santa Barbara
• University of Chicago
• University of Colorado at Boulder
• University of Illinois at Urbana-Champaign
• University of Liverpool - Department of Statistics and Computational Mathematics
• University of Maryland Applied Mathematics
• University of Maryland Baltimore Country Mathematics and Statistics
• University of Maryland at College Park
• University of Massachusetts at Amherst
• University of Michigan - Electrical Engineering and Computer Science
• University of Michigan - Lab for Scientific Computation
• University of Minnesota
• University of New Mexico, Scientific and Engineering Computation Graduate Certificate Program
• University of North Carolina
• Univ of Paderborn, Germany
• University of Pennsylvania
• University of Tennessee Computational Science Program
• University of Tennessee - Mathematics Department
• University of Texas at Austin, Computational and Applied Mathematics Program
• University of Utah CES Program
• University of Washington
• University of Waterloo Department of Combinatorics and Optimization
• University of Wisconsin
• University of Wisconsin Mathematical Programming in Machine Learning
• Virginia/ICASE/LaRC Program in HPCC
• W.M. Keck Center for Computational Biology at Rice University
• Yale University

Books, Course Materials, and Tutorials

• U.C. Berkeley CS267: Applications of Parallel Computers, Jim Demmel, Spring 1995
• The Archetypes Textbook
• Computational Science Education Project
• Computational Physics -- Simulation, Visualization, and Modeling, University of Western Australia
• Computer Science Course Materials at University of Colorado, including Numerical Computation and High Performance Scientific Computing
• Designing and Building Parallel Programs
• A First Course in Programming the Intel Paragon, by Jeremy Cook
• Fortran Books
• Fortran 90 for the Fortran 77 programmer
• High Performance Fortran Tutorial, Charles Koelbel
• IBM SP2 Workshop, Maui High Performance Computing Center
• An Introduction to Scientific, Symbolic, and Graphical Computing
• LAPACK User's Guide
• MPI: The Complete Reference
• MPI Tutorials and Talks
• Parallel Computing Works
• MIT 18.337: Parallel Scientific Computing, Alan Edelman, Spring 1995
• Proceedings of Workshop on Iterative Methods for Large Scale Nonlinear Problems
• PVM: Parallel Virtual Machine, A Users' Guide and Tutorial for Networked Parallel Computing
• Retooling Project, A collection of educational materials from the CRPC to help HPCC users "retool" for parallelism
• A Survey of Preconditioned Iterative Methods, by Are Magnus Bruaset
• Templates for the Solution of Linear Systems: Building Blocks for Iterative Methods
• A User's Guide to MPI

Short courses and workshops

• Cornell Theory Center Virtual Workshop: Parallel Programming with Message-Passing Libraries, a hands-on, Web-based course covering principles of parallel and distributed memory processing, and the MPI and PVM message-passing libraries.
• Cornell Theory Center Upcoming Workshops
• Spring 1996 NSF Trainers Workshop in Parallel Computing, Cornell Theory Center, May 6-9, 1996
• Supercomputing Program for Undergraduate Research, Cornell, summer 1996, offers undergraduate students the opportunity to pursue a computational science research project while developing skills in the use of high performance computing technologies.

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