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eBooks Programmation parallèle

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  • Programming Rust

    par Jim Blandy, Jason Orendorff, Leonora F. S. Tindall ...
    Systems programming provides the foundation for the world's computation. Writing performance-sensitive code requires a programming language that puts programmers in control of how memory, processor time, and other system resources are used. The Rust systems programming language combines that control with a modern type system that catches broad classes of common mistakes, from memory management ... En savoir plus

    29,03 €

  • Python High Performance

    Build high-performing, concurrent, and distributed applications

    par Dr. Gabriele Lanaro ...
    Learn how to use Python to create efficient applicationsKey Features\[\*\]Identify the bottlenecks in your applications and solve them using the best profiling techniques\[\*\]Write efficient numerical code in NumPy, Cython, and Pandas\[\*\]Adapt your programs to run on multiple processors and machines with parallel programmingBook DescriptionPython is a versatile language that has found ... En savoir plus

    29,67 € ou Gratuit avec Kobo Plus

  • Hadoop: The Definitive Guide

    Storage and Analysis at Internet Scale

    par Tom White ...
    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 ... En savoir plus

    29,46 €

  • Programming Amazon EC2

    Survive your Success

    par Jurg van Vliet, Flavia Paganelli ...
    If you plan to use Amazon Web Services to run applications in the cloud, the end-to-end approach in this book will save you needless trial and error. You'll find practical guidelines for designing and building applications with Amazon Elastic Compute Cloud (EC2) and a host of supporting AWS tools, with a focus on critical issues such as load balancing, monitoring, and automation.How do you move an ... En savoir plus

    19,07 €

  • Software Architecture and Design

    The Practical Guide to Design Patterns

    par Rheinwerk Publishing, Inc, Kristian Köhler ...
    Learn how to apply proven software design patterns to build scalable and maintainable systems, from object-oriented principles to microservices and cloud solutions.Key FeaturesIn-depth exploration of design patterns and their real-world applicationsClear explanation of architectural styles and principles for robust systemsPractical insights into microservices, cloud development, and system ... En savoir plus

    43,45 € ou Gratuit avec Kobo Plus

  • Concurrency in C# Cookbook

    Asynchronous, Parallel, and Multithreaded Programming

    par Stephen Cleary ...
    If you’re one of many developers still uncertain about concurrent and multithreaded development, this practical cookbook will change your mind. With more than 85 code-rich recipes in this updated second edition, author Stephen Cleary demonstrates parallel processing and asynchronous programming techniques using libraries and language features in .NET and C# 8.0.Concurrency is now more common in ... En savoir plus

    24,48 €

  • C# Concurrency

    Asynchronous and multithreaded programming

    par Nir Dobovizki ...
    Supercharge your applications with the ultimate guide to asynchronous and multithreaded programming in C#!C# Concurrency teaches you how to write effective multithreaded and asynchronous software in C#. Practical techniques, real-world examples, and useful code samples cut through the confusion around async/await and help you write rapid, reliable, and bug-free code.In C# Concurrency: Asynchronous ... En savoir plus

    77,16 €

  • Hands-On Data Structures and Algorithms with Rust

    Learn programming techniques to build effective, maintainable, and readable code in Rust 2018

    par Claus Matzinger ...
    Design and implement professional level programs by exploring modern data structures and algorithms in Rust.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 analysis, in a clear, ... En savoir plus

    29,67 € ou Gratuit avec Kobo Plus

  • Julia for Scientific Computing

    Julia in Production: A Data Science Journey

    par Alexander Clifton ...
    Collection series Julia in Production: A Data Science Journey
    Transform your data science workflows with Julia's lightning-fast performance. This practical guide helps Python and R developers transition to Julia for large-scale scientific computing, machine learning, and numerical analysis. Features real-world case studies, optimization techniques, and integration with popular data science tools. Includes parallel computing patterns and best practices for ... En savoir plus

    4,49 € ou Gratuit avec Kobo Plus

  • Hands-On GPU Computing with Python

    Explore the capabilities of GPUs for solving high performance computational problems

    par 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 ... En savoir plus

    29,67 € ou Gratuit avec Kobo Plus

  • Stream Processing with Apache Spark

    Mastering Structured Streaming and Spark Streaming

    par 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 ... En savoir plus

    24,48 €

  • Introduction to High Performance Computing for Scientists and Engineers

    par Georg Hager, Gerhard Wellein ...
    Collection series Chapman & Hall/CRC Computational Science
    Written by high performance computing (HPC) experts, Introduction to High Performance Computing for Scientists and Engineers provides a solid introduction to current mainstream computer architecture, dominant parallel programming models, and useful optimization strategies for scientific HPC. From working in a scientific computing center, the author ... En savoir plus

    106,24 €

  • Learning Julia

    Build high-performance applications for scientific computing

    par Anshul Joshi, Rahul Lakhanpal ...
    Learn Julia language for data science and data analyticsKey Features\[\*\] Set up Julia's environment and start building simple programs\[\*\] Explore the technical aspects of Julia and its potential when it comes to speed and data processing\[\*\] Write efficient and high-quality code in JuliaBook DescriptionJulia is a highly appropriate language for scientific computing, but it comes with all ... En savoir plus

    32,85 € ou Gratuit avec Kobo Plus

  • High-Performance Programming in C# and .NET

    Understand the nuts and bolts of developing robust, faster, and resilient applications in C# 10.0 and .NET 6

    par Jason Alls ...
    Enhance your applications performance using best practices for benchmarking, application profiling, asynchronous programming, designing responsive UIs, gRPC communication, and distributed applicationsKey FeaturesMake the best use of performance enhancements in C\# 10.0 and .NET 6Boost application performance by identifying hardware bottlenecks and common performance pitfallsGet to grips with best ... En savoir plus

    34,97 € ou Gratuit avec Kobo Plus

  • CUDA by Example

    An Introduction to General-Purpose GPU Programming

    par Jason Sanders, Edward Kandrot ...
    CUDA is a computing architecture designed to facilitate the development of parallel programs. In conjunction with a comprehensive software platform, the CUDA Architecture enables programmers to draw on the immense power of graphics processing units (GPUs) when building high-performance applications. GPUs, of course, have long been available for demanding graphics and game applications. CUDA now ... En savoir plus

    42,39 €

  • Reactive Programming with RxJS 5

    Untangle Your Asynchronous JavaScript Code

    par Sergi Mansilla ...
    Reactive programming is revolutionary. It makes asynchronous programming clean, intuitive, and robust. Use RxJS 5 to write complex programs in a simple way, and master the Observable: a powerful data type that substitutes callbacks and promises. Think about your programs as streams of data that change and adapt to produce what you want. Manage real-world concurrency and write complex flows of ... En savoir plus

    16,84 €

  • Introduction to Statistical Computing and Visualization Using R

    par Megha Rathi ...
    The book provides a foundational guide to statistical computing and visualisation Using R programming with an emphasis on practical data analysis skills that are directly applicable to diverse fields like finance, defence, health, and education. It uniquely combines a thorough explanation of basic constructs with advanced topics such as data visualisation, statistical modeling, and probability, ... En savoir plus

    166,09 €

  • The OpenMP Common Core

    Making OpenMP Simple Again

    par Timothy G. Mattson, Yun (Helen) He, Alice E. Koniges ...
    Collection series Scientific and Engineering Computation
    How to become a parallel programmer by learning the twenty-one essential components of OpenMP.This book guides readers through the most essential elements of OpenMP—the twenty-one components that most OpenMP programmers use most of the time, known collectively as the “OpenMP Common Core.” Once they have mastered these components, readers with no prior experience writing parallel code will be ... En savoir plus

    23,63 €

  • Programmer en Go : Pourquoi ? Comment ?

    par Rudy Rigot ...
    Ce livre vise à donner une compréhension intelligente de pourquoi écrire du Go et comment mettre à profit ses points forts afin de l'utiliser de manière pertinente sur des projets réels ; et de savoir aussi quand ne pas l'utiliser. Dans cet objectif, il explique la démarche de ses concepteurs tout en passant en revue un ensemble de problématiques courantes (gestion de la mémoire, gestion des ... En savoir plus

    21,99 €

  • Hands-On Concurrency with Rust

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

    par 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 ... En savoir plus

    32,85 € ou Gratuit avec Kobo Plus

  • Designing Elixir Systems With OTP

    Write Highly Scalable, Self-healing Software with Layers

    par James Edward Gray II, Bruce A. Tate ...
    You know how to code in Elixir; now learn to think in it. Learn to design libraries with intelligent layers that shape the right data structures, flow from one function into the next, and present the right APIs. Embrace the same OTP that's kept our telephone systems reliable and fast for over 30 years. Move beyond understanding the OTP functions to knowing what's happening under the hood, and why ... En savoir plus

    20,66 €

  • CUDA Programming in C

    From Basics to Expert Proficiency

    par William Smith ...
    "CUDA Programming in C: From Basics to Expert Proficiency" is a comprehensive guide designed to equip both novice and experienced developers with the knowledge and skills needed to harness the power of CUDA and parallel computing. Through a systematic and detailed approach, this book delves into the core concepts of CUDA programming, beginning with an introduction to parallel computing and the ... En savoir plus

    9,49 € ou Gratuit avec Kobo Plus

  • Nebenläufige Programmierung mit Java

    Konzepte und Programmiermodelle für Multicore-Systeme

    par 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 ... En savoir plus

    34,90 € ou Gratuit avec Kobo Plus

  • DevOps and Site Reliability Engineering Handbook

    Non-Programmer’s Guide

    par Fleming Stephen ...
    Are we doing DevOps or SRE?There are many blogs, videos, Quora posts discussing the similarities and differences in both the practices. SRE was developed by Google for internal consumption and overlaps with the DevOps culture and philosophy.Now Let’s See a Definition of DevOps & SRE!- DevOps is more of an organizational culture that fills the gap between coder and the operation person and aligns ... En savoir plus

    4,33 € ou Gratuit avec Kobo Plus