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Reference Book

There will be no set text book for COMP3320/6464 in 2008, but we will draw on material from a variety of sources. I will discuss this in more detail in the first lecture. For the moment here is a list of reference books. Expect this list to grow as the course progresses.

• High Performance Computing, Kevin Dowd and Charles Severance. O"Reilly & Associates Inc. 1998 (2nd Edn). ISBN 1-56592-312-X. (This is now out of print, but I will put some copies in the short loan section of the library).
• Write Great Code Volume 1: Understanding the Machine Randall Hyde, No Starch Press, ISBN 1-59327-003-8
• Write Great Code Volume 2: Thinking Low-Level, Writing High-Level Randall Hyde, No Starch Press, ISBN 1-59327-065-8
• Scientific Parallel Computing, L.R. Scott, T. Clark, B. Bagheri, Princeton University Press, ISBN 0-691-11935-X
• Introduction to Computational Science: Modeling and Simulation for the Sciences A.B. Shiflet and G.W. Shiflet, Princeton University Press, ISBN 0-691-12565-1
• Techniques for Optimizing Applications: High Performance Computing, Rajat P. Garg and Ilya Sharapov, Prentice Hall, ISBN 0-13-093476-3.
• Computer Architecture: A Quantitative Approach, John L. Hennessy and David A. Patterson, Morgan Kaufmann, ISBN 1-55860-596-7.
• Scientific and Engineering C++: An introduction with Advanced Techniques and Examples, John J. Barton and Lee R. Nackman, Addison Wesley, ISBN 0-201-53393-6.
• Scientific Computation - An Introductory Survey , Michael T. Heath, McGraw-Hill, 1997. ISBN 0-07-115336-5.
• An Introduction to High-Performance Scientific Computing, Fosdick, Elizabeth R. Jessup, Carolyn J. C. Schauble, and Gitta Domik MIT Press ISBN 0-262-0618-13.