Parallel Programming category: 114 books

Cover of Python Parallel Programming Cookbook
by Giancarlo Zaccone
Language: English
Release Date: August 26, 2015

Master efficient parallel programming to build powerful applications using PythonAbout This BookDesign and implement efficient parallel softwareMaster new programming techniques to address and solve complex programming problemsExplore the world of parallel programming with this book, which is...
Cover of Professional CUDA C Programming
by John Cheng, Max Grossman, Ty McKercher
Language: English
Release Date: September 8, 2014

Break into the powerful world of parallel GPU programming with this down-to-earth, practical guide Designed for professionals across multiple industrial sectors, Professional CUDA C Programming presents CUDA -- a parallel computing platform and programming model designed to ease the development...
Cover of Parallel Programming

Parallel Programming

Concepts and Practice

by Jorge Gonzalez-Dominguez, Ph.D., Moritz Schlarb
Language: English
Release Date: November 20, 2017

Parallel Programming: Concepts and Practice provides an upper level introduction to parallel programming. In addition to covering general parallelism concepts, this text teaches practical programming skills for both shared memory and distributed memory architectures. The authors’ open-source system...
Cover of Programming Massively Parallel Processors
by David B. Kirk, Wen-mei W. Hwu
Language: English
Release Date: November 24, 2016

Programming Massively Parallel Processors: A Hands-on Approach, Third Edition shows both student and professional alike the basic concepts of parallel programming and GPU architecture, exploring, in detail, various techniques for constructing parallel programs. Case studies demonstrate the...
Cover of Topics in Parallel and Distributed Computing

Topics in Parallel and Distributed Computing

Introducing Concurrency in Undergraduate Courses

by
Language: English
Release Date: September 16, 2015

Topics in Parallel and Distributed Computing provides resources and guidance for those learning PDC as well as those teaching students new to the discipline. The pervasiveness of computing devices containing multicore CPUs and GPUs, including home and office PCs, laptops, and mobile devices,...
Cover of OpenACC for Programmers

OpenACC for Programmers

Concepts and Strategies

by Sunita Chandrasekaran, Guido Juckeland
Language: English
Release Date: September 11, 2017

The Complete Guide to OpenACC for Massively Parallel Programming   Scientists and technical professionals can use OpenACC to leverage the immense power of modern GPUs without the complexity traditionally associated with programming them. OpenACC™ for Programmers is one of the first...
Cover of Shared-Memory Parallelism Can be Simple, Fast, and Scalable
by Julian Shun
Language: English
Release Date: June 1, 2017

Parallelism is the key to achieving high performance in computing. However, writing efficient and scalable parallel programs is notoriously difficult, and often requires significant expertise. To address this challenge, it is crucial to provide programmers with high-level tools to enable them to develop...
Cover of Delphi High Performance

Delphi High Performance

Build fast Delphi applications using concurrency, parallel programming and memory management

by Primož Gabrijelčič
Language: English
Release Date: February 26, 2018

Build fast, scalable, and high performing applications with Delphi Key Features Build efficient and concurrent applications in Delphi with focused examples Identify performance bottlenecks and apply the correct algorithm to increase the performance of applications. Delve into parallel programming...
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 Shared Memory Application Programming

Shared Memory Application Programming

Concepts and Strategies in Multicore Application Programming

by Victor Alessandrini
Language: English
Release Date: November 6, 2015

Shared Memory Application Programming presents the key concepts and applications of parallel programming, in an accessible and engaging style applicable to developers across many domains. Multithreaded programming is today a core technology, at the basis of all software development projects in any...
Cover of Multicore Application Programming

Multicore Application Programming

for Windows, Linux, and Oracle Solaris

by Darryl Gove
Language: English
Release Date: November 9, 2010

Write High-Performance, Highly-Scalable Multicore Applications for Any Leading Hardware and OS Environment   Programmers who know how to leverage today’s multicore processors can achieve remarkable performance improvements, but multicore programming has traditionally been viewed as complex...
Cover of OpenCL Programming Guide
by Aaftab Munshi, Benedict Gaster, Timothy G. Mattson
Language: English
Release Date: July 7, 2011

Using the new OpenCL (Open Computing Language) standard, you can write applications that access all available programming resources: CPUs, GPUs, and other processors such as DSPs and the Cell/B.E. processor. Already implemented by Apple, AMD, Intel, IBM, NVIDIA, and other leaders, OpenCL has outstanding...
Cover of Parallel Programming with Python
by Jan Palach
Language: English
Release Date: June 25, 2014

A fast, easy-to-follow and clear tutorial to help you develop Parallel computing systems using Python. Along with explaining the fundamentals, the book will also introduce you to slightly advanced concepts and will help you in implementing these techniques in the real world. If you are an experienced...
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