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OpenACC for Programmers

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by Sunita Chandrasekaran, Guido Juckeland ...

The Complete Guide to OpenACC for Massively Parallel ProgrammingScientists 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 comprehensive and practical overviews of OpenACC for massively parallel programming.This book integrates contributions ... Read more

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The Complete Guide to OpenACC for Massively Parallel ProgrammingScientists 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 comprehensive and practical overviews of OpenACC for massively parallel programming.This book integrates contributions
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Rust for Data Engineers: Processing Large Datasets with Memory-Efficient Parallel Computing

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Series series Practical Rust for Developers
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Don't accept the compromise between fast and beautiful: you can have it all. Phoenix creator Chris McCord, Elixir creator Jose Valim, and award-winning author Bruce Tate walk you through building an application that's fast and reliable. At every step, you'll learn from the Phoenix creators not just what to do, but why. Packed with insider insights and completely updated for Phoenix 1.4, this ... Read more

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Hands-On Design Patterns with Delphi

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by Primož Gabrijelčič ...

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Get up to speed with creational, structural, behavioral and concurrent patterns in Delphi to write clear, concise and effective codeKey FeaturesDelve into the core patterns and components of Delphi in order to master your application's designBrush up on tricks, techniques, and best practices to solve common design and architectural challengesChoose the right patterns to improve your program’s
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Hands-On Concurrency with Rust

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Get to grips with modern software demands by learning the effective uses of Rust\\'s powerful memory safety.Key Features\[\*\] Learn and improve the sequential performance characteristics of your software\[\*\] Understand the use of operating system processes in a high-scale concurrent system\[\*\] Learn of the various coordination methods available in the Standard libraryBook DescriptionMost ... Read more

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Rust Programming By Example

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Topics in Parallel and Distributed Computing

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Pervasive Computing

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Distributed Computing with Python

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Harness the power of multiple computers using Python through this fast-paced informative guideKey Features\[\*\] You'll learn to write data processing programs in Python that are highly available, reliable, and fault tolerant\[\*\] Make use of Amazon Web Services along with Python to establish a powerful remote computation system\[\*\] Train Python to handle data-intensive and resource hungry ... Read more

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Julia for Scientific Computing

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Transform your data science workflows with Julia's lightning-fast performance. This practical guide helps Python and R developers transition to Julia for large-scale scientific computing, machine learning, and numerical analysis. Features real-world case studies, optimization techniques, and integration with popular data science tools. Includes parallel computing patterns and best practices for ... Read more

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Transform your data science workflows with Julia's lightning-fast performance. This practical guide helps Python and R developers transition to Julia for large-scale scientific computing, machine learning, and numerical analysis. Features real-world case studies, optimization techniques, and integration with popular data science tools. Includes parallel computing patterns and best practices for
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Managing the Web of Things

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Edited by Michael Sheng, Yongrui Qin, Lina Yao, Boualem Benatallah ...

Managing the Web of Things: Linking the Real World to the Web presents a consolidated and holistic coverage of engineering, management, and analytics of the Internet of Things. The web has gone through many transformations, from traditional linking and sharing of computers and documents (i.e., Web of Data), to the current connection of people (i.e., Web of People), and to the emerging connection ... Read more

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Managing the Web of Things: Linking the Real World to the Web presents a consolidated and holistic coverage of engineering, management, and analytics of the Internet of Things. The web has gone through many transformations, from traditional linking and sharing of computers and documents (i.e., Web of Data), to the current connection of people (i.e., Web of People), and to the emerging connection
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GPU Parallel Program Development Using CUDA

by Tolga Soyata ...

Series series Chapman & Hall/CRC Computational Science
GPU Parallel Program Development using CUDA teaches GPU programming by showing the differences among different families of GPUs. This approach prepares the reader for the next generation and future generations of GPUs. The book emphasizes concepts that will remain relevant for a long time, rather than concepts that are platform-specific. At the same time, the book also provides platform-dependent ... Read more

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GPU Parallel Program Development using CUDA teaches GPU programming by showing the differences among different families of GPUs. This approach prepares the reader for the next generation and future generations of GPUs. The book emphasizes concepts that will remain relevant for a long time, rather than concepts that are platform-specific. At the same time, the book also provides platform-dependent
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Fundamentals of Multicore Software Development

Edited by Victor Pankratius, Ali-Reza Adl-Tabatabai, Walter Tichy ...

Series series Chapman & Hall/CRC Computational Science
With multicore processors now in every computer, server, and embedded device, the need for cost-effective, reliable parallel software has never been greater. By explaining key aspects of multicore programming, Fundamentals of Multicore Software Development helps software engineers understand parallel programming and master the multicore challenge. ... Read more

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Elements of Parallel Computing

by Eric Aubanel ...

Series series Chapman & Hall/CRC Computational Science
Designed for introductory parallel computing courses at the advanced undergraduate or beginning graduate level, Elements of Parallel Computing presents the fundamental concepts of parallel computing not from the point of view of hardware, but from a more abstract view of algorithmic and implementation patterns. The aim is to facilitate the teaching of parallel programming by surveying some key ... Read more

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Designed for introductory parallel computing courses at the advanced undergraduate or beginning graduate level, Elements of Parallel Computing presents the fundamental concepts of parallel computing not from the point of view of hardware, but from a more abstract view of algorithmic and implementation patterns. The aim is to facilitate the teaching of parallel programming by surveying some key
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Concurrent Programming on Windows

by Joe Duffy ...

Series series Microsoft Windows Development Series
“When you begin using multi-threading throughout an application, the importance of clean architecture and design is critical. . . . This places an emphasis on understanding not only the platform’s capabilities but also emerging best practices. Joe does a great job interspersing best practices alongside theory throughout his book.”– From the Foreword by Craig Mundie, Chief Research and Strategy ... Read more

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“When you begin using multi-threading throughout an application, the importance of clean architecture and design is critical. . . . This places an emphasis on understanding not only the platform’s capabilities but also emerging best practices. Joe does a great job interspersing best practices alongside theory throughout his book.”– From the Foreword by Craig Mundie, Chief Research and Strategy
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Petascale Computing

Algorithms and Applications

Edited by David A. Bader ...

Although the highly anticipated petascale computers of the near future will perform at an order of magnitude faster than today's quickest supercomputer, the scaling up of algorithms and applications for this class of computers remains a tough challenge. From scalable algorithm design for massive concurrency toperformance analyses and scientific vis ... Read more

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Although the highly anticipated petascale computers of the near future will perform at an order of magnitude faster than today's quickest supercomputer, the scaling up of algorithms and applications for this class of computers remains a tough challenge. From scalable algorithm design for massive concurrency toperformance analyses and scientific vis
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Recommended For You

Parallel Programming eBooks

OpenACC for Programmers

Rust for Data Engineers: Processing Large Datasets with Memory-Efficient Parallel Computing

Learn R Programming in 24 Hours

C# Multithreaded and Parallel Programming

Programming Phoenix 1.4

Hands-On Design Patterns with Delphi

Hands-On Concurrency with Rust

Rust Programming By Example

Learning Concurrency in Python

Python High Performance

Java 9 Concurrency Cookbook

Learning Julia

Embedded Computing for High Performance

Topics in Parallel and Distributed Computing

Pervasive Computing

Distributed Computing with Python

Julia for Scientific Computing

WS-BPEL 2.0 Beginner's Guide

Managing the Web of Things

GPU Parallel Program Development Using CUDA

Fundamentals of Multicore Software Development

Elements of Parallel Computing

Concurrent Programming on Windows

Petascale Computing