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Anbefalet til dig

OpenCL Programming Guide

af Aaftab Munshi, Benedict Gaster, Dan Ginsburg, Timothy Mattson ...

Serier serie OpenGL
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 potential for PCs, servers, handheld/embedded devices, high performance computing, and even ... Læs mere

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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 potential for PCs, servers, handheld/embedded devices, high performance computing, and even
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C++ Data Structures and Algorithms

Learn how to write efficient code to build scalable and robust applications in C++

af Wisnu Anggoro ...

Learn how to build efficient, secure and robust code in C++ by using data structures and algorithms - the building blocks of C++Key FeaturesUse data structures such as arrays, stacks, trees, lists, and graphs with real-world examplesLearn the functional and reactive implementations of the traditional data structuresExplore illustrations to present data structures and algorithms, as well as their ... Læs mere

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Learn how to build efficient, secure and robust code in C++ by using data structures and algorithms - the building blocks of C++Key FeaturesUse data structures such as arrays, stacks, trees, lists, and graphs with real-world examplesLearn the functional and reactive implementations of the traditional data structuresExplore illustrations to present data structures and algorithms, as well as their
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Parallel Programming with Co-arrays

af Robert W. Numrich ...

Serier serie Chapman & Hall/CRC Computational Science
Parallel Programming with Co-Arrays describes the basic techniques used to design parallel algorithms for high-performance, scientific computing. It is intended for upper-level undergraduate students and graduate students who need to develop parallel codes with little or no previous introduction to parallel computing. It is also intended as a reference manual for researchers active in the field of ... Læs mere

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Parallel Programming with Co-Arrays describes the basic techniques used to design parallel algorithms for high-performance, scientific computing. It is intended for upper-level undergraduate students and graduate students who need to develop parallel codes with little or no previous introduction to parallel computing. It is also intended as a reference manual for researchers active in the field of
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Ruby on Rails Background Jobs with Sidekiq

af David B. Copeland ...

Using Sidekiq for background jobs is a great way to scale and grow your app. This book will give you a solid, practical foundation for creating resilient, well-tested, self-healing code that uses background jobs. You'll be able to simulate real-world failure modes and learn how to write idempotent code that can be safely run with Sidekiq.One of the best ways to improve your Rails app's performance ... Læs mere

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Using Sidekiq for background jobs is a great way to scale and grow your app. This book will give you a solid, practical foundation for creating resilient, well-tested, self-healing code that uses background jobs. You'll be able to simulate real-world failure modes and learn how to write idempotent code that can be safely run with Sidekiq.One of the best ways to improve your Rails app's performance
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Mastering Concurrency Programming with Java 9, Second Edition

Fast, reactive and parallel application development

af Javier Fernández González ...

Master the principles to make applications robust, scalable and responsiveKey Features\[\*\] Implement concurrent applications using the Java 9 Concurrency API and its new components\[\*\] Improve the performance of your applications and process more data at the same time, taking advantage of all of your resources\[\*\] Construct real-world examples related to machine learning, data mining, ... Læs mere

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Master the principles to make applications robust, scalable and responsiveKey Features\[\*\] Implement concurrent applications using the Java 9 Concurrency API and its new components\[\*\] Improve the performance of your applications and process more data at the same time, taking advantage of all of your resources\[\*\] Construct real-world examples related to machine learning, data mining,
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Asyncio From Ground Up

af Ritesh Modi ...

You have probably tried asyncio once and given up. You may have searched "python asyncio tutorial" and bounced off three of them. You may have copied an async def from somewhere without understanding why. You may have closed a code review the moment await appeared on the screen. None of those experiences is unusual, and none of them is your fault.The reason most readers find asyncio confusing is ... Læs mere

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You have probably tried asyncio once and given up. You may have searched "python asyncio tutorial" and bounced off three of them. You may have copied an async def from somewhere without understanding why. You may have closed a code review the moment await appeared on the screen. None of those experiences is unusual, and none of them is your fault.The reason most readers find asyncio confusing is
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Go avancé

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af Thierry Fournier ...

Un livre pour comprendre le fonctionnement interne du langage Go et de son runtime (compatible Go 1.23+), afin de l'utiliser plus efficacement et de concevoir de meilleures architectures logicielles.Go est un langage qui se veut simple. Peu de mots clés, pas d'héritage complexe, une généricité volontairement limitée. Pourtant, derrière cette façade épurée se cache un runtime élaboré qui gère la ... Læs mere

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Learning Concurrency in Python

Build highly efficient, robust, and concurrent applications

af Elliot Forbes ...

Practically and deeply understand concurrency in Python to write efficient programsKey Features\[\*\] Build highly efficient, robust, and concurrent applications\[\*\] Work through practical examples that will help you address the challenges of writing concurrent code\[\*\] Improve the overall speed of execution in multiprocessor and multicore systems and keep them highly availableBook ... Læs mere

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Parallel R

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af Q. Ethan McCallum, Stephen Weston ...

It’s tough to argue with R as a high-quality, cross-platform, open source statistical software product—unless you’re in the business of crunching Big Data. This concise book introduces you to several strategies for using R to analyze large datasets. You’ll learn the basics of Snow, Multicore, Parallel, and some Hadoop-related tools, including how to find them, how to use them, when they work well, ... Læs mere

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Parallel Python with Dask

af Tim Peters ...

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Multithreading for Visual Effects

af Martin Watt, Erwin Coumans, George ElKoura, Ronald Henderson, Manuel Kraemer, Jeff Lait, James Reinders ...

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

af Primož Gabrijelčič ...

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Distributed Computing with Go

Practical concurrency and parallelism for Go applications

af V.N. Nikhil Anurag, Jinzhu Zhang, Pankaj Khairnar ...

A tutorial leading the aspiring Go developer to full mastery of Golang s distributed features.Key Features\[\*\] This book provides enough concurrency theory to give you a contextual understanding of Go concurrency\[\*\] It gives weight to synchronous and asynchronous data streams in Golang web applications\[\*\] It makes Goroutines and Channels completely familiar and natural to Go developersBook ... Læs mere

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A tutorial leading the aspiring Go developer to full mastery of Golang s distributed features.Key Features\[\*\] This book provides enough concurrency theory to give you a contextual understanding of Go concurrency\[\*\] It gives weight to synchronous and asynchronous data streams in Golang web applications\[\*\] It makes Goroutines and Channels completely familiar and natural to Go developersBook
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Mastering C++ Multithreading

Write robust, concurrent, and parallel applications

af Maya Posch ...

Master multithreading and concurrent processing with C++Key Features\[\*\] Delve into the fundamentals of multithreading and concurrency and find out how to implement them\[\*\] Explore atomic operations to optimize code performance\[\*\] Apply concurrency to both distributed computing and GPGPU processingBook DescriptionMultithreaded applications execute multiple threads in a single processor ... Læs mere

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Learning MCollective

Parallel Server Management in Puppet and Chef

af Jo Rhett ...

Orchestrate change across server clusters in near realtime with MCollective, the framework that works in concert with Puppet, Chef, and other configuration management tools. Ideal for system administrators and operations or DevOps engineers at any level, this hands-on guide teaches you how to build and test a real installation of MCollective servers and clients in your environment.Learn how to ... Læs mere

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Async Rust

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af Maxwell Flitton, Caroline Morton ...

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Already popular among programmers for its memory safety and speed, the Rust programming language is also valuable for asynchrony. This practical book shows you how asynchronous Rust can help you solve problems that require multitasking. You'll learn how to apply async programming to solve problems with an async approach. You will also dive deeper into async runtimes, implementing your own ways in
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Designing Scientific Applications on GPUs

Redigeret af Raphael Couturier ...

Serier serie Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series
Many of today's complex scientific applications now require a vast amount of computational power. General purpose graphics processing units (GPGPUs) enable researchers in a variety of fields to benefit from the computational power of all the cores available inside graphics cards.Understand the Benefits of Using GPUs for Many Scientific Applications ... Læs mere

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Many of today's complex scientific applications now require a vast amount of computational power. General purpose graphics processing units (GPGPUs) enable researchers in a variety of fields to benefit from the computational power of all the cores available inside graphics cards.Understand the Benefits of Using GPUs for Many Scientific Applications
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Learning Concurrent Programming in Scala

Practical Multithreading in Scala

af Aleksandar Prokopec ...

Learn the art of building intricate, modern, scalable, and concurrent applications using ScalaKey Features\[\*\] Make the most of Scala by understanding its philosophy and harnessing the power of multicores\[\*\] Get acquainted with cutting-edge technologies in the field of concurrency, through practical, real-world applications\[\*\] Get this step-by-step guide packed with pragmatic examplesBook ... Læs mere

333,74 kr. eller Gratis med Kobo Plus

Learn the art of building intricate, modern, scalable, and concurrent applications using ScalaKey Features\[\*\] Make the most of Scala by understanding its philosophy and harnessing the power of multicores\[\*\] Get acquainted with cutting-edge technologies in the field of concurrency, through practical, real-world applications\[\*\] Get this step-by-step guide packed with pragmatic examplesBook
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Exploring Graphs with Elixir

Connect Data with Native Graph Libraries and Graph Databases

af Tony Hammond ...

Data is everywhere - it's just not very well connected, which makes it super hard to relate dataset to dataset. Using graphs as the underlying glue, you can readily join data together and create navigation paths across diverse sets of data. Add Elixir, with its awesome power of concurrency, and you'll soon be mastering data networks. Learn how different graph models can be accessed and used from ... Læs mere

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Data is everywhere - it's just not very well connected, which makes it super hard to relate dataset to dataset. Using graphs as the underlying glue, you can readily join data together and create navigation paths across diverse sets of data. Add Elixir, with its awesome power of concurrency, and you'll soon be mastering data networks. Learn how different graph models can be accessed and used from
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Stream Processing with Apache Spark

Mastering Structured Streaming and Spark Streaming

af Gerard Maas, Francois Garillot ...

Before you can build analytics tools to gain quick insights, you first need to know how to process data in real time. With this practical guide, developers familiar with Apache Spark will learn how to put this in-memory framework to use for streaming data. You’ll discover how Spark enables you to write streaming jobs in almost the same way you write batch jobs.Authors Gerard Maas and François ... Læs mere

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Before you can build analytics tools to gain quick insights, you first need to know how to process data in real time. With this practical guide, developers familiar with Apache Spark will learn how to put this in-memory framework to use for streaming data. You’ll discover how Spark enables you to write streaming jobs in almost the same way you write batch jobs.Authors Gerard Maas and François
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Rust Programming By Example

Enter the world of Rust by building engaging, concurrent, reactive, and robust applications

af Guillaume Gomez, Antoni Boucher ...

Discover the world of Rust programming through real-world examplesKey FeaturesImplement various features of Rust to build blazingly fast applicationsLearn to build GUI applications using Gtk-rsExplore the multi-threading aspect of Rust to tackle problems in concurrency and in distributed environmentsBook DescriptionRust is an open source, safe, concurrent, practical language created by Mozilla. It ... Læs mere

333,74 kr. eller Gratis med Kobo Plus

Discover the world of Rust programming through real-world examplesKey FeaturesImplement various features of Rust to build blazingly fast applicationsLearn to build GUI applications using Gtk-rsExplore the multi-threading aspect of Rust to tackle problems in concurrency and in distributed environmentsBook DescriptionRust is an open source, safe, concurrent, practical language created by Mozilla. It
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Multithreading in C# 5.0 Cookbook

af Eugene Agafonov ...

Cookbook.Multithreading in C# 5.0 Cookbook is written for existing C# developers who want a complete, professional, and authoritative guide to multithreading. You don't need any experience with multithreaded programming to use this book. ... Læs mere

343,74 kr. eller Gratis med Kobo Plus

Cookbook.Multithreading in C# 5.0 Cookbook is written for existing C# developers who want a complete, professional, and authoritative guide to multithreading. You don't need any experience with multithreaded programming to use this book.
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Concurrent Programming on Windows

af Joe Duffy ...

Serier serie 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 ... Læs mere

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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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Anbefalet til dig

Parallel programmering e-bøger

OpenCL Programming Guide

C++ Data Structures and Algorithms

Parallel Programming with Co-arrays

Ruby on Rails Background Jobs with Sidekiq

Mastering Concurrency Programming with Java 9, Second Edition

Asyncio From Ground Up

Go avancé

Learning Concurrency in Python

Parallel R

Parallel Python with Dask

Multithreading for Visual Effects

Delphi High Performance

Learn Zig over Rust and C++

Distributed Computing with Go

Mastering C++ Multithreading

Learning MCollective

Async Rust

Designing Scientific Applications on GPUs

Learning Concurrent Programming in Scala

Exploring Graphs with Elixir

Stream Processing with Apache Spark

Rust Programming By Example

Multithreading in C# 5.0 Cookbook

Concurrent Programming on Windows