
BIG CPU, BIG DATA: Solving the World's Toughest Problems with Parallel Computing
by Alan Kaminsky
Publisher: Rochester Institute of Technology 2015
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.
Download or read it online for free here:
Read online
(online reading)
Similar books
Designing and Building Parallel Programsby Ian Foster - Addison Wesley
Introduction to parallel programming and a guide for developing programs for parallel and distributed systems. Programs are developed in a methodical fashion and both cost and performance are considered at each stage in a design.
(18502 views)
PVM: Parallel Virtual Machineby Al Geist, at al. - 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.
(14428 views)
Linux Parallel Processing HOWTOby Hank Dietz - The Aggregate
This document discusses the basic approaches to parallel processing available to Linux users: SMP Linux systems, clusters of networked Linux systems, parallel execution using multimedia instructions, and attached processors hosted by a Linux system.
(14442 views)
Concurrent Programming in Erlangby Robert Virding, Claes Wikstrom, Mike Williams - 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.
(21947 views)