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: An introduction to one-way quantum computing in distributed architecturesAn introduction to one-way quantum computing in distributed architectures
by - arXiv
This review provides a gentle introduction to one-way quantum computing in distributed architectures. One-way quantum computation shows significant promise as a model for distributed systems, particularly probabilistic entangling operations.
(6443 views)
Book cover: How to Write Parallel Programs: A First CourseHow to Write Parallel Programs: A First Course
by - MIT Press
In the near future every programmer will need to understand parallelism, a powerful way to run programs fast. The authors of this straightforward tutorial provide the instruction that will transform ordinary programmers into parallel programmers.
(6243 views)
Book cover: Parallel Complexity TheoryParallel Complexity Theory
by - Prentice Hall
The rapid growth of parallel complexity theory has led to a proliferation of parallel machine models. This book presents a unified theory of parallel computation based on a network model. It is the first such synthesis in book form.
(6067 views)
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.
(15167 views)