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: 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.
(9536 views)
Book cover: Distributed Detection and Estimation in Wireless Sensor NetworksDistributed Detection and Estimation in Wireless Sensor Networks
by - arXiv
We consider the problems of distributed detection and estimation in wireless sensor networks. We provide a general framework aimed to show how an efficient design of a sensor network requires a joint organization of in-network communication.
(7985 views)
Book cover: Distributed Systems for Fun and ProfitDistributed Systems for Fun and Profit
by - mixu.net
This text provides a more accessible introduction to distributed systems. The book brings together the ideas behind many of the more recent distributed systems - such as Amazon's Dynamo, Google's BigTable and MapReduce, Apache's Hadoop and so on.
(12299 views)
Book cover: Vector Models for Data-Parallel ComputingVector Models for Data-Parallel Computing
by - The MIT Press
Vector Models for Data-Parallel Computing describes a model of parallelism that extends and formalizes the Data-Parallel model on which the Connection Machine and other supercomputers are based. It presents many algorithms based on the model.
(12245 views)