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:
Read online
(online reading)

Similar books

Book cover: Concurrent Programming in ErlangConcurrent Programming in Erlang
by - Prentice Hall PTR
A tutorial of Erlang, a concurrent, functional programming language. The emphasis of this book is on learning through example and a number of well known problems in designing and programming concurrent fault-tolerant real-time systems.
(22008 views)
Book cover: PVM: Parallel Virtual MachinePVM: Parallel Virtual Machine
by - The MIT Press
Written by the team that developed the software, this tutorial is the definitive resource for scientists, engineers, and other computer users who want to use PVM to increase the flexibility and power of their high-performance computing resources.
(14482 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.
(11274 views)
Book cover: Programming on Parallel MachinesProgramming on Parallel Machines
by - 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.
(11030 views)