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Rust Atomics and Locks

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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 ... 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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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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Mastering Concurrency Programming with Java 9, Second Edition

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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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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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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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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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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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Learn different ways of writing concurrent code in Elixir and increase your application's performance, without sacrificing scalability or fault-tolerance. Most projects benefit from running background tasks and processing data concurrently, but the world of OTP and various libraries can be challenging. Which Supervisor and what strategy to use? What about GenServer? Maybe you need back-pressure,
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Software Architecture and Design

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Accelerating MATLAB Performance

1001 tips to speed up MATLAB programs

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The MATLAB programming environment is often perceived as a platform suitable for prototyping and modeling but not for "serious" applications. One of the main complaints is that MATLAB is just too slow. Accelerating MATLAB Performance aims to correct this perception by describing multiple ways to greatly improve MATLAB program speed. Packed with tho ... Read more

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The MATLAB programming environment is often perceived as a platform suitable for prototyping and modeling but not for "serious" applications. One of the main complaints is that MATLAB is just too slow. Accelerating MATLAB Performance aims to correct this perception by describing multiple ways to greatly improve MATLAB program speed. Packed with tho
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Recommended For You

Parallel Programming eBooks

Rust Atomics and Locks

Stream Processing with Apache Spark

Mastering Concurrency Programming with Java 9, Second Edition

OpenCL Programming by Example

Java 9 Concurrency Cookbook

Hadoop: The Definitive Guide

Hands-On GPU Programming with Python and CUDA

Practical GPU Programming

Learning Concurrency in Kotlin

Multithreading in C# 5.0 Cookbook

Shared Memory Application Programming

Practical Rust 1.x Cookbook

Hadoop: The Definitive Guide

Intel Xeon Phi Coprocessor High Performance Programming

Microservices with Go

Assembly Language

Hands-On Concurrency with Rust

The Rust Optimizer's Handbook

Dynamic Programming in Python

Mastering Concurrency in Python

Programming Massively Parallel Processors

Concurrent Data Processing in Elixir

Software Architecture and Design

Accelerating MATLAB Performance