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.
Get Introduction to Parallel and Vector Scientific Computation by at the best price and quality guranteed only at Werezi Africa largest book ecommerce store. The book was published by and it has pages. Enjoy Shopping Best Offers & Deals on books Online from Werezi - Receive at your doorstep - Fast Delivery - Secure mode of Payment
Digital Rights Management (DRM)
The publisher has supplied this book in encrypted form, which means that you need to install free software in order to unlock and read it.
Required software
To read this ebook on a mobile device (phone or tablet) you'll need to install one of these free apps:
To download and read this eBook on a PC or Mac:
-
Adobe Digital Editions
(This is a free app specially developed for eBooks. It's not the same as Adobe Reader, which you probably already have on your computer.)