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Rust Atomics and Locks

Low-Level Concurrency in Practice

by Mara Bos ...

The Rust programming language is extremely well suited for concurrency, and its ecosystem has many libraries that include lots of concurrent data structures, locks, and more. But implementing those structures correctly can be very difficult. Even in the most well-used libraries, memory ordering bugs are not uncommon.In this practical book, Mara Bos, leader of the Rust library team, helps Rust ... Read more

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The Rust programming language is extremely well suited for concurrency, and its ecosystem has many libraries that include lots of concurrent data structures, locks, and more. But implementing those structures correctly can be very difficult. Even in the most well-used libraries, memory ordering bugs are not uncommon.In this practical book, Mara Bos, leader of the Rust library team, helps Rust
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Learning Concurrency in Kotlin

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Take advantage of Kotlin\\'s concurrency primitives to write efficient multithreaded applicationsKey FeaturesUnderstand Kotlin’s unique approach to multithreadingLearn how to write concurrent non-blocking code with the help of practical examplesImprove the overall execution speed in multiprocessor and multicore systemsBook DescriptionKotlin is a modern and statically typed programming language ... Read more

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Take advantage of Kotlin\\'s concurrency primitives to write efficient multithreaded applicationsKey FeaturesUnderstand Kotlin’s unique approach to multithreadingLearn how to write concurrent non-blocking code with the help of practical examplesImprove the overall execution speed in multiprocessor and multicore systemsBook DescriptionKotlin is a modern and statically typed programming language
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Hands-On GPU Programming with Python and CUDA

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Build real-world applications with Python 2.7, CUDA 9, and CUDA 10. We suggest the use of Python 2.7 over Python 3.x, since Python 2.7 has stable support across all the libraries we use in this book.Key FeaturesExpand your background in GPU programming—PyCUDA, scikit-cuda, and NsightEffectively use CUDA libraries such as cuBLAS, cuFFT, and cuSolverApply GPU programming to modern data science ... Read more

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Build real-world applications with Python 2.7, CUDA 9, and CUDA 10. We suggest the use of Python 2.7 over Python 3.x, since Python 2.7 has stable support across all the libraries we use in this book.Key FeaturesExpand your background in GPU programming—PyCUDA, scikit-cuda, and NsightEffectively use CUDA libraries such as cuBLAS, cuFFT, and cuSolverApply GPU programming to modern data science
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Hadoop: The Definitive Guide

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Get ready to unlock the power of your data. With the fourth edition of this comprehensive guide, youâ??ll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. This book is ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop clusters.Using Hadoop 2 exclusively, author Tom White presents new ... Read more

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Get ready to unlock the power of your data. With the fourth edition of this comprehensive guide, youâ??ll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. This book is ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop clusters.Using Hadoop 2 exclusively, author Tom White presents new
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Java 9 Concurrency Cookbook

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Master the art of fast, effective Java development with the power of concurrent and parallel programmingKey Features\[\*\] Get detailed coverage of important recipes on multi-threading and parallel programming\[\*\] This book takes a close look at the Java 9 APIs and their impact on concurrency\[\*\] See practical examples on thread safety, high-performance classes, safe sharing, and a whole lot ... Read more

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Master the art of fast, effective Java development with the power of concurrent and parallel programmingKey Features\[\*\] Get detailed coverage of important recipes on multi-threading and parallel programming\[\*\] This book takes a close look at the Java 9 APIs and their impact on concurrency\[\*\] See practical examples on thread safety, high-performance classes, safe sharing, and a whole lot
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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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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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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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OpenCL Programming by Example

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High Performance Computing for Intelligent Medical Systems

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Exascale Scientific Applications

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Edited by Tjerk P. Straatsma, Katerina B. Antypas, Timothy J. Williams ...

Series series Chapman & Hall/CRC Computational Science
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From the Foreword:"The authors of the chapters in this book are the pioneers who will explore the exascale frontier. The path forward will not be easy... These authors, along with their colleagues who will produce these powerful computer systems will, with dedication and determination, overcome the scalability problem, discover the new algorithms needed to achieve exascale performance for the
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Parallel Computing

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Parallel Computing: Methods, Algorithms and Applications presents a collection of original papers presented at the international meeting on parallel processing, methods, algorithms, and applications at Verona, Italy in September 1989. ... Read more

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Parallel Computing: Methods, Algorithms and Applications presents a collection of original papers presented at the international meeting on parallel processing, methods, algorithms, and applications at Verona, Italy in September 1989.
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Rust for Network Programming and Automation

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Rust for Network Programming and Automation is a pragmatic guide that trains you through the Rust to design networks and begin with automating network administration. The book introduces you to the powerful libraries and commands of Rust that are essential for designing, administering and automating networks. You will learn how to use Rust's networking libraries like tokio, mio and rust-async to ... Read more

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Advanced Python Programming

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by Dr. Gabriele Lanaro, Quan Nguyen, Sakis Kasampalis ...

Create distributed applications with clever design patterns to solve complex problemsKey FeaturesSet up and run distributed algorithms on a cluster using Dask and PySparkMaster skills to accurately implement concurrency in your codeGain practical experience of Python design patterns with real-world examplesBook DescriptionThis Learning Path shows you how to leverage the power of both native and ... Read more

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Hands-On Concurrency with Rust

Confidently build memory-safe, parallel, and efficient software in Rust

by Brian L. Troutwine ...

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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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
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Hands-On GPU Computing with Python

Explore the capabilities of GPUs for solving high performance computational problems

by Avimanyu Bandyopadhyay ...

Explore a GPU-enabled programmable environment for machine learning, scientific applications, and gaming using PuCUDA, PyOpenGL, and Anaconda AccelerateKey FeaturesUnderstand effective synchronization strategies for faster processing using GPUsWrite parallel processing scripts with PyCuda and PyOpenCLLearn to use CUDA libraries such as CuDNN for deep learning on GPUsBook DescriptionGPUs are ... Read more

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Explore a GPU-enabled programmable environment for machine learning, scientific applications, and gaming using PuCUDA, PyOpenGL, and Anaconda AccelerateKey FeaturesUnderstand effective synchronization strategies for faster processing using GPUsWrite parallel processing scripts with PyCuda and PyOpenCLLearn to use CUDA libraries such as CuDNN for deep learning on GPUsBook DescriptionGPUs are
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Large-scale Distributed Systems and Energy Efficiency

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by Jean-Marc Pierson ...

Series series Wiley Series on Parallel and Distributed Computing
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Learning MCollective

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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 ... Read more

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Hadoop: The Definitive Guide

The Definitive Guide

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Hadoop: The Definitive Guide helps you harness the power of your data. Ideal for processing large datasets, the Apache Hadoop framework is an open source implementation of the MapReduce algorithm on which Google built its empire. This comprehensive resource demonstrates how to use Hadoop to build reliable, scalable, distributed systems: programmers will find details for analyzing large datasets, ... Read more

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Hadoop: The Definitive Guide helps you harness the power of your data. Ideal for processing large datasets, the Apache Hadoop framework is an open source implementation of the MapReduce algorithm on which Google built its empire. This comprehensive resource demonstrates how to use Hadoop to build reliable, scalable, distributed systems: programmers will find details for analyzing large datasets,
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Node.js 8 the Right Way

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by Jim Wilson ...

Node.js is the platform of choice for creating modern web services. This fast-paced book gets you up to speed on server-side programming with Node.js 8, as you develop real programs that are small, fast, low-profile, and useful. Take JavaScript beyond the browser, explore dynamic language features, and embrace evented programming.Harness the power of the event loop and non-blocking I/O to create ... Read more

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Node.js is the platform of choice for creating modern web services. This fast-paced book gets you up to speed on server-side programming with Node.js 8, as you develop real programs that are small, fast, low-profile, and useful. Take JavaScript beyond the browser, explore dynamic language features, and embrace evented programming.Harness the power of the event loop and non-blocking I/O to create
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Recommended For You

Parallel Programming eBooks

Rust Atomics and Locks

Learning Concurrency in Kotlin

Hands-On GPU Programming with Python and CUDA

Hadoop: The Definitive Guide

Java 9 Concurrency Cookbook

Shared Memory Application Programming

Multithreading in C# 5.0 Cookbook

Stream Processing with Apache Spark

Mastering Concurrency Programming with Java 9, Second Edition

OpenCL Programming by Example

Practical GPU Programming

Learn Functional Programming with Elixir

Effective Haskell

High Performance Computing for Intelligent Medical Systems

Exascale Scientific Applications

Parallel Computing

Rust for Network Programming and Automation

Advanced Python Programming

Hands-On Concurrency with Rust

Hands-On GPU Computing with Python

Large-scale Distributed Systems and Energy Efficiency

Learning MCollective

Hadoop: The Definitive Guide

Node.js 8 the Right Way