Processing ......
Links to Free Computer, Mathematics, Technical Books all over the World
BIG CPU, BIG DATA: Solving the World's Toughest Problems with Parallel Computing
The one place to read news all over the world: LinkBasket. Mobile App too.
  • Title BIG CPU, BIG DATA: Solving the World's Toughest Problems with Parallel Computing
  • Author(s) Alan Kaminsky
  • Publisher: CreateSpace Independent Publishing Platform; 1 edition (July 30, 2016)
  • Paperback 504 pages
  • eBook PDF (424 pages, 12.01 MB) and PDF files
  • Language: English
  • ISBN-10: 1534872280
  • ISBN-13: 978-1534872288
  • Share This:  

Book Description

This book teaches you how to write parallel programs for multicore machines, compute clusters, GPU accelerators, and big data map-reduce jobs, in the Java language, with the free, easy-to-use, object-oriented Parallel Java 2 Library. The book also covers how to measure the performance of parallel programs and how to design the programs to run as fast as possible.

The goal of this book 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.

To study parallel programming with this book, you'll need the following prerequisite knowledge: Java programming; C programming (for GPU pro grams); computer organization concepts (CPU, memory, cache, and so on); operating system concepts (threads, thread synchronization).

About the Authors
  • Alan Kaminsky is a Professor at Department of Computer Science, Rochester Institute of Technology
Reviews and Rating: Related Book Categories: Read and Download Links: Similar Books:
Book Categories
Other Categories
Resources and Links