In this text, students of applied mathematics, science and engineering are introduced to fundamental ways of thinking about the broad context of parallelism. The authors begin by giving the reader a deeper understanding of the issues through a general examination of timing, data dependencies, and communication. These ideas are implemented with respect to shared memory, parallel and vector processing, and distributed memory cluster computing. Threads, OpenMP, and MPI are covered, along with code examples in Fortran, C, and Java. The principles of parallel computation are applied throughout as the authors cover traditional topics in a first course in scientific computing. Building on the fundamentals of floating point representation and numerical error, a thorough treatment of numerical linear algebra and eigenvector/eigenvalue problems is provided. By studying how these algorithms parallelize, the reader is able to explore parallelism inherent in other computations, such as Monte Carlo methods.
About Ronald W. Shonkwiler
Ronald W. Shonkwiler is a Professor in the School of Mathematics at the Georgia Institute of Technology. He has authored or coauthored over 50 research papers in areas of functional analysis, mathematical biology, image processing algorithms, fractal geometry, neural networks and Monte Carlo optimization methods. His algorithm for monochrome image comparison is part of a US patent for fractal image compression. He has coauthored two other books, An Introduction to the Mathematics of Biology and The Handbook of Stochastic Analysis and Applications. Lew Lefton is the Director of Information Technology at the Georgia Institute of Technology where he has built and maintained several computing clusters which are used to implement parallel computations. Prior to that he was a tenured faculty member in the Department of Mathematics at the University of New Orleans. His academic interests are in differential equations, applied mathematics, numerical analysis (in particular, finite element methods) and scientific computing.Details Book
Author  :  Ronald W. Shonkwiler 
Publisher  :  Cambridge University Press 
Data Published  :  14 August 2006 
ISBN  :  0521683378 
EAN  :  9780521683371 
Format Book  :  PDF, Epub, DOCx, TXT 
Number of Pages  :  300 pages 
Age +  :  15 years 
Language  :  English 
Rating  : 
Reviews An Introduction to Parallel and Vector Scientific Computation

Margo Anderson Get eBook An Introduction to Parallel and Vector Scientific Computation
Finally I get this ebook, thanks for all these I can get now!

Lisa Doran Best website free download ebook
I was suspicious at first when i got redirected to the membership site. Now I'm really excited i found this online library....many thanks Kisses

Markus Jensen How to download An Introduction to Parallel and Vector Scientific Computation eBook?
I did not think that this would work, my best friend showed me this website, and it does! I get my most wanted eBook

Roddy Murray
My friends are so mad that they do not know how I have all the high quality ebook which they do not!

Lukasz Czaru
so many fake sites. this is the first one which worked! Many thanks


Andrew Smith
Just select your click then download link, and complete an offer to start downloading the ebook. If there is a survey it only takes 5 minutes, try any survey which works for you.

Kevin Mason
lol it did not even take me 5 minutes at all! XD

