Logo

BIG CPU, BIG DATA: Solving the World's Toughest Problems with Parallel Computing

Small book cover: BIG CPU, BIG DATA: Solving the World's Toughest Problems with Parallel Computing

BIG CPU, BIG DATA: Solving the World's Toughest Problems with Parallel Computing
by

Publisher: Rochester Institute of Technology
Number of pages: 424

Description:
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.

Home page url

Download or read it online for free here:
Download link
(12MB, PDF)

Similar books

Book cover: The Practice of Parallel ProgrammingThe Practice of Parallel Programming
by - 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.
(21005 views)
Book cover: Is Parallel Programming Hard, And, If So, What Can You Do About It?Is Parallel Programming Hard, And, If So, What Can You Do About It?
by
The purpose of this book is to help you understand how to program shared-memory parallel machines. By describing the algorithms that have worked well in the past, we hope to help you avoid some of the pitfalls that have beset parallel projects.
(13689 views)
Book cover: Petri Nets: Manufacturing and Computer SciencePetri Nets: Manufacturing and Computer Science
by - InTech
The present monograph focuses on Petri Nets applications in two main areas: manufacturing and computer science. The theory of Petri Nets is still developing: some directions of investigations are presented in this volume.
(9245 views)
Book cover: Introduction to Parallel ComputingIntroduction to Parallel Computing
by - Lawrence Livermore National Laboratory
This tutorial covers the very basics of parallel computing, and is intended for someone who is just becoming acquainted with the subject. It begins with a brief overview, including concepts and terminology associated with parallel computing.
(12513 views)