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Parallel Programming and Concurrency with C# 10 and .NET 6

A modern approach to building faster, more responsive, and asynchronous .NET applications using C#

by Alvin Ashcraft ...

Leverage the latest parallel and concurrency features in .NET 6 when building your next application and explore the benefits and challenges of asynchrony, parallelism, and concurrency in .NET via practical examplesKey FeaturesLearn to implement parallel programming and handle concurrency in .NET efficientlySwitch threads while debugging and learn how to monitor specific threads in Visual ... Read more

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Leverage the latest parallel and concurrency features in .NET 6 when building your next application and explore the benefits and challenges of asynchrony, parallelism, and concurrency in .NET via practical examplesKey FeaturesLearn to implement parallel programming and handle concurrency in .NET efficientlySwitch threads while debugging and learn how to monitor specific threads in Visual
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Programming Phoenix 1.4

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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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OpenCL Programming Guide

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

Series series 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 ... Read more

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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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Ultimate Monorepo and Bazel for Building Apps at Scale

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Unlock Next-Level Scalable App Development with Monorepo and BazelBook Description“Ultimate Scalable Monorepo Apps with Bazel" is the go-to guide for developers and engineers looking to maximize the potential of Bazel within a monorepo setup.It explores the intricacies of building large-scale applications, contrasting the monorepo approach with polyrepo setups and highlighting benefits like ... Read more

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Unlock Next-Level Scalable App Development with Monorepo and BazelBook Description“Ultimate Scalable Monorepo Apps with Bazel" is the go-to guide for developers and engineers looking to maximize the potential of Bazel within a monorepo setup.It explores the intricacies of building large-scale applications, contrasting the monorepo approach with polyrepo setups and highlighting benefits like
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C++ Data Structures and Algorithms

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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 ... Read more

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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

by Robert W. Numrich ...

Series series 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 ... Read more

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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

by 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 ... Read more

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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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Intel Xeon Phi Processor High Performance Programming

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by James Jeffers, James Reinders, Avinash Sodani ...

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Shared Memory Application Programming

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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 branch of applied computer science. This book guides readers to develop insights about threaded ... Read more

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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 branch of applied computer science. This book guides readers to develop insights about threaded
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Mastering Concurrency Programming with Java 9, Second Edition

Fast, reactive and parallel application development

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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, ... Read more

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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

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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 ... Read more

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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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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 ... Read more

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Learning Concurrency in Python

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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 ... Read more

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Parallel R

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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, ... Read more

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Parallel Python with Dask

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Multithreading for Visual Effects

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

Tackle the Challenges of Parallel Programming in the Visual Effects IndustryIn Multithreading for Visual Effects, developers from DreamWorks Animation, Pixar, Side Effects, Intel, and AMD share their successes and failures in the messy real-world application area of production software. They provide practical advice on multithreading techniques and visual effects used in popular visual effects ... Read more

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Delphi High Performance

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

by Primož Gabrijelčič ...

Build fast, scalable, and high performing applications with DelphiKey FeaturesBuild efficient and concurrent applications in Delphi with focused examplesIdentify performance bottlenecks and apply the correct algorithm to increase the performance of applications.Delve into parallel programming and memory management to optimize your codeBook DescriptionDelphi is a cross-platform Integrated ... Read more

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Nebenläufige Programmierung mit Java

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by Jörg Hettel, Manh Tien Tran ...

Damit die Performance-Möglichkeiten moderner Multicore-Rechner effizient genutzt werden, muss die Software dafür entsprechend entworfen und entwickelt werden. Für diese Aufgabe bietet insbesondere Java vielfältige Konzepte an. Das Buch bietet eine fundierte Einführung in die nebenläufige Programmierung mit Java. Der Inhalt gliedert sich dabei in fünf Teile: Im ersten Teil wird das grundlegende ... Read more

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Learn Zig over Rust and C++

Learn Modern Systems Programming with Zig for C++ and Rust Developers

by Annie Cal ...

There's a question that's always been asked by systems programmers working in C++ and those working in Rust. Is there a way to control systems that doesn't mean choosing between power and predictability? Zig represents that path.The idea is pretty clear as really there's no such thing as hidden behaviour. Everything's totally clear about each allocation. Every error is given a name and can be ... Read more

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There's a question that's always been asked by systems programmers working in C++ and those working in Rust. Is there a way to control systems that doesn't mean choosing between power and predictability? Zig represents that path.The idea is pretty clear as really there's no such thing as hidden behaviour. Everything's totally clear about each allocation. Every error is given a name and can be
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OpenCL Programming by Example

by Ravishekhar Banger, Koushik Bhattacharyya ...

This book follows an example-driven, simplified, and practical approach to using OpenCL for general purpose GPU programming.If you are a beginner in parallel programming and would like to quickly accelerate your algorithms using OpenCL, this book is perfect for you! You will find the diverse topics and case studies in this book interesting and informative. You will only require a good knowledge of ... Read more

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This book follows an example-driven, simplified, and practical approach to using OpenCL for general purpose GPU programming.If you are a beginner in parallel programming and would like to quickly accelerate your algorithms using OpenCL, this book is perfect for you! You will find the diverse topics and case studies in this book interesting and informative. You will only require a good knowledge of
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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

106,24 €

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.
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Parallel and High Performance Programming with Python

Unlock parallel and concurrent programming in Python using multithreading, CUDA, Pytorch and Dask. (English Edition)

by Fabio Nelli ...

Unleash the capabilities of Python and its libraries for solving high performance computational problems.KEY FEATURES● Explores parallel programming concepts and techniques for high-performance computing.● Covers parallel algorithms, multiprocessing, distributed computing, and GPU programming.● Provides practical use of popular Python libraries/tools like NumPy, Pandas, Dask, and TensorFlow ... Read more

Was 23,99 € Now 21,49 € or Free with Kobo Plus

Unleash the capabilities of Python and its libraries for solving high performance computational problems.KEY FEATURES● Explores parallel programming concepts and techniques for high-performance computing.● Covers parallel algorithms, multiprocessing, distributed computing, and GPU programming.● Provides practical use of popular Python libraries/tools like NumPy, Pandas, Dask, and TensorFlow
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C++ Programming Cookbook

by Anais Sutherland ...

"C++ Programming Cookbook" stands out as a clear, concise, and powerful technical resource for programmers who want to master C++'s intricacies. C++ programmers face a wide variety of problems, and this carefully written book is a treasure trove of solutions and methods to those software development challenges.Each chapter is organized to help you get a good grasp of the language and everything it ... Read more

32,49 €

"C++ Programming Cookbook" stands out as a clear, concise, and powerful technical resource for programmers who want to master C++'s intricacies. C++ programmers face a wide variety of problems, and this carefully written book is a treasure trove of solutions and methods to those software development challenges.Each chapter is organized to help you get a good grasp of the language and everything it
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Recommended For You

Parallel Programming eBooks

Parallel Programming and Concurrency with C# 10 and .NET 6

Programming Phoenix 1.4

OpenCL Programming Guide

Ultimate Monorepo and Bazel for Building Apps at Scale

C++ Data Structures and Algorithms

Parallel Programming with Co-arrays

Ruby on Rails Background Jobs with Sidekiq

Intel Xeon Phi Processor High Performance Programming

Shared Memory Application Programming

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

Nebenläufige Programmierung mit Java

Learn Zig over Rust and C++

OpenCL Programming by Example

GPU Parallel Program Development Using CUDA

Fundamentals of Multicore Software Development

Parallel and High Performance Programming with Python

C++ Programming Cookbook