Parallel Computing Works!
by G.C. Fox, R.D. Williams, P.C. Messina
Publisher: Morgan Kaufmann Publishers 1994
ISBN/ASIN: 1558602534
ISBN-13: 9781558602533
Description:
A clear illustration of how parallel computers can be successfully applied to large-scale scientific computations. This book demonstrates how a variety of applications in physics, biology, mathematics and other sciences were implemented on real parallel computers to produce new scientific results. It investigates issues of fine-grained parallelism relevant for future supercomputers with particular emphasis on hypercube architecture.
Download or read it online for free here:
Read online
(online html)
Similar books
Programming on Parallel Machinesby Norm Matlo ff - University of California, Davis
This book is aimed more on the practical end of things, real code is featured throughout. The emphasis is on clarity of the techniques and languages used. It is assumed that the student is reasonably adept in programming and linear algebra.
(7626 views)
The Practice of Parallel Programmingby Sergey A. Babkin - CreateSpace
This book provides an advanced guide to the issues of the parallel and multithreaded programming. It goes beyond the high-level design of the applications, into the details that are often overlooked but vital to make the programs work.
(18867 views)
Parallel Programming with Microsoft .NETby Colin Campbell, Ralph Johnson, Stephen Toub - Microsoft Press
A book that introduces .NET programmers to patterns for including parallelism in their applications. Examples of these patterns are parallel loops, parallel tasks and data aggregation with map-reduce. Each pattern has its own chapter.
(12880 views)
BIG CPU, BIG DATA: Solving the World's Toughest Problems with Parallel Computingby Alan Kaminsky - Rochester Institute of Technology
With the book BIG CPU, BIG DATA, my goal is to teach you how to write parallel programs that take full advantage of the vast processing power of modern multicore computers, compute clusters, and graphics processing unit (GPU) accelerators.
(5718 views)