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Rust Atomics and Locks

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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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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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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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Hadoop: The Definitive Guide

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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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Risky Behaviours in the Top 400 iOS and Android Apps is a concise overview of the security threats posed by the top apps in iOS and Android apps. These apps are ubiquitous on a phones and other mobile devices, and are vulnerable to a wide range digital systems attacks, This brief volume provides security professionals and network systems administrators a much-needed dive into the most current
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Unlock parallel and concurrent programming in Python using multithreading, CUDA, Pytorch and Dask. (English Edition)

by Fabio Nelli ...

This book will teach you everything about the powerful techniques and applications of parallel computing, from the basics of parallel programming to the cutting-edge innovations shaping the future of computing.The book starts with an introduction to parallel programming and the different types of parallelism, including parallel programming with threads and processes. The book then delves into ... Read more

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This book will teach you everything about the powerful techniques and applications of parallel computing, from the basics of parallel programming to the cutting-edge innovations shaping the future of computing.The book starts with an introduction to parallel programming and the different types of parallelism, including parallel programming with threads and processes. The book then delves into
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Parallel Python with Dask

Perform distributed computing, concurrent programming and manage large dataset

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Unlock the Power of Parallel Python with Dask: A Perfect Learning Guide for Aspiring Data ScientistsDask has revolutionized parallel computing for Python, empowering data scientists to accelerate their workflows. This comprehensive guide unravels the intricacies of Dask to help you harness its capabilities for machine learning and data analysis.Across 10 chapters, you'll master Dask's fundamentals
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Practical Rendering and Computation with Direct3D 11

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Direct3D 11 offers such a wealth of capabilities that users can sometimes get lost in the details of specific APIs and their implementation. While there is a great deal of low-level information available about how each API function should be used, there is little documentation that shows how best to leverage these capabilities. Written by active members of the Direct3D community, Practical ... Read more

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Heterogeneous Computing Architectures

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Heterogeneous Computing Architectures: Challenges and Vision provides an updated vision of the state-of-the-art of heterogeneous computing systems, covering all the aspects related to their design: from the architecture and programming models to hardware/software integration and orchestration to real-time and security requirements. The transitions from multicore processors, GPU computing, and ... Read more

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Heterogeneous Computing Architectures: Challenges and Vision provides an updated vision of the state-of-the-art of heterogeneous computing systems, covering all the aspects related to their design: from the architecture and programming models to hardware/software integration and orchestration to real-time and security requirements. The transitions from multicore processors, GPU computing, and
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Elements of Parallel Computing

by Eric Aubanel ...

Series series Chapman & Hall/CRC Computational Science
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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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Asynchronous Programming with C++

Build blazing-fast software with multithreading and asynchronous programming for ultimate efficiency

by Javier Reguera-Salgado, Juan Antonio Rufes ...

Design and develop high-performance software solutions by using concurrent and asynchronous techniques provided by the most modern features in C++20 and C++23Key FeaturesLearn how to use modern C++ features, including futures, promises, async, and coroutines to build asynchronous solutionsDevelop cross-platform network and low-level I/O projects with Boost.AsioMaster optimization techniques by ... Read more

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Design and develop high-performance software solutions by using concurrent and asynchronous techniques provided by the most modern features in C++20 and C++23Key FeaturesLearn how to use modern C++ features, including futures, promises, async, and coroutines to build asynchronous solutionsDevelop cross-platform network and low-level I/O projects with Boost.AsioMaster optimization techniques by
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Exascale Scientific Applications

Scalability and Performance Portability

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

Series series Chapman & Hall/CRC Computational Science
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 ... Read more

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OpenCL Programming Guide

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

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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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Recommended For You

Parallel Programming eBooks

Rust Atomics and Locks

Java 9 Concurrency Cookbook

Multithreading in C# 5.0 Cookbook

Stream Processing with Apache Spark

Mastering Concurrency Programming with Java 9, Second Edition

Hadoop: The Definitive Guide

OpenCL Programming by Example

Hands-On GPU Programming with Python and CUDA

Practical GPU Programming

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Shared Memory Application Programming

Hands-On GPU Computing with Python

Unity Pro Series: Engineering Cutting-Edge Game Mechanics

Funktionen in Python Schritt für Schritt lernen

Automated Security Analysis of Android and iOS Applications with Mobile Security Framework

Multicore and GPU Programming

Parallel and High Performance Programming with Python

Parallel Python with Dask

Practical Rendering and Computation with Direct3D 11

Heterogeneous Computing Architectures

Elements of Parallel Computing

Asynchronous Programming with C++

Exascale Scientific Applications

OpenCL Programming Guide