Parallel Processing category: 215 books

Cover of An Introduction to Parallel Programming
by Peter Pacheco
Language: English
Release Date: February 17, 2011

Author Peter Pacheco uses a tutorial approach to show students how to develop effective parallel programs with MPI, Pthreads, and OpenMP. The first undergraduate text to directly address compiling and running parallel programs on the new multi-core and cluster architecture, An Introduction to Parallel...
Cover of Real-Time Big Data Analytics
by Sumit Gupta, Shilpi
Language: English
Release Date: February 16, 2016

Design, process, and analyze large sets of complex data in real time About This Book Get acquainted with transformations and database-level interactions, and ensure the reliability of messages processed using Storm Implement strategies to solve the challenges of real-time data processing Load...
Cover of Parallel Computational Fluid Dynamics 2006

Parallel Computational Fluid Dynamics 2006

Parallel Computing and its Applications

by
Language: English
Release Date: September 12, 2007

The proceedings from Parallel CFD 2006 covers all aspects of parallel computings and its applications. Although CFD is one of basic tools for design procedures to produce machineries, such as automobiles, ships, aircrafts, etc., large scale parallel computing has been realized very recently, especially...
Cover of CUDA Programming

CUDA Programming

A Developer's Guide to Parallel Computing with GPUs

by Shane Cook
Language: English
Release Date: December 28, 2012

If you need to learn CUDA but don't have experience with parallel computing, CUDA Programming: A Developer's Introduction offers a detailed guide to CUDA with a grounding in parallel fundamentals. It starts by introducing CUDA and bringing you up to speed on GPU parallelism and hardware, then delving...
Cover of Multicore and GPU Programming

Multicore and GPU Programming

An Integrated Approach

by Gerassimos Barlas
Language: English
Release Date: December 16, 2014

Multicore and GPU Programming offers broad coverage of the key parallel computing skillsets: multicore CPU programming and manycore "massively parallel" computing. Using threads, OpenMP, MPI, and CUDA, it teaches the design and development of software capable of taking advantage of today’s...
Cover of Applied Parallel Computing
by Yuefan Deng
Language: English
Release Date: August 23, 2012

The book provides a practical guide to computational scientists and engineers to help advance their research by exploiting the superpower of supercomputers with many processors and complex networks. This book focuses on the design and analysis of basic parallel algorithms, the key components for composing...
Cover of Concurrent Patterns and Best Practices

Concurrent Patterns and Best Practices

Build scalable apps with patterns in multithreading, synchronization, and functional programming

by Atul S. Khot
Language: English
Release Date: September 27, 2018

A definitive guide to mastering and implementing concurrency patterns in your applications Key Features Build scalable apps with patterns in multithreading, synchronization, and functional programming Explore the parallel programming and multithreading techniques to make the code run faster Efficiently...
Cover of Learning Apache Apex

Learning Apache Apex

Real-time streaming applications with Apex

by Thomas Weise, Munagala V. Ramanath, David Yan
Language: English
Release Date: November 30, 2017

Designing and writing a real-time streaming publication with Apache Apex About This Book Get a clear, practical approach to real-time data processing Program Apache Apex streaming applications This book shows you Apex integration with the open source Big Data ecosystem Who This Book Is For This...
Cover of Storm Real-time Processing Cookbook
by Quinton Anderson
Language: English
Release Date: August 27, 2013

A Cookbook with plenty of practical recipes for different uses of Storm. If you are a Java developer with basic knowledge of real-time processing and would like to learn Storm to process unbounded streams of data in real time, then this book is for you.
Cover of Mastering IPython 4.0
by Thomas Bitterman
Language: English
Release Date: May 30, 2016

Get to grips with the advanced concepts of interactive computing to make the most out of IPython About This Book Most updated book on Interactive computing with IPython 4.0; Detailed, example-rich guide that lets you use the most advanced level interactive programming with IPython; Get flexible...
Cover of Pervasive Computing

Pervasive Computing

Next Generation Platforms for Intelligent Data Collection

by
Language: English
Release Date: May 6, 2016

Pervasive Computing: Next Generation Platforms for Intelligent Data Collection presents current advances and state-of-the-art work on methods, techniques, and algorithms designed to support pervasive collection of data under ubiquitous networks of devices able to intelligently collaborate towards...
Cover of Intel Xeon Phi Coprocessor High Performance Programming
by James Jeffers, James Reinders
Language: English
Release Date: February 11, 2013

Authors Jim Jeffers and James Reinders spent two years helping educate customers about the prototype and pre-production hardware before Intel introduced the first Intel Xeon Phi coprocessor. They have distilled their own experiences coupled with insights from many expert customers, Intel Field Engineers,...
Cover of GPU Programming in MATLAB
by Nikolaos Ploskas, Nikolaos Samaras
Language: English
Release Date: August 25, 2016

GPU programming in MATLAB is intended for scientists, engineers, or students who develop or maintain applications in MATLAB and would like to accelerate their codes using GPU programming without losing the many benefits of MATLAB. The book starts with coverage of the Parallel Computing Toolbox and...
Cover of Foundations for Architecting Data Solutions

Foundations for Architecting Data Solutions

Managing Successful Data Projects

by Ted Malaska, Jonathan Seidman
Language: English
Release Date: August 29, 2018

While many companies ponder implementation details such as distributed processing engines and algorithms for data analysis, this practical book takes a much wider view of big data development, starting with initial planning and moving diligently toward execution. Authors Ted Malaska and Jonathan Seidman...
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