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Seven Concurrency Models in Seven Weeks

When Threads Unravel

av Paul Butcher ...

Your software needs to leverage multiple cores, handle thousands of users and terabytes of data, and continue working in the face of both hardware and software failure. Concurrency and parallelism are the keys, and Seven Concurrency Models in Seven Weeks equips you for this new world. See how emerging technologies such as actors and functional programming address issues with traditional threads ... Les mer

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Your software needs to leverage multiple cores, handle thousands of users and terabytes of data, and continue working in the face of both hardware and software failure. Concurrency and parallelism are the keys, and Seven Concurrency Models in Seven Weeks equips you for this new world. See how emerging technologies such as actors and functional programming address issues with traditional threads
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Programming Phoenix

Productive |> Reliable |> Fast

av Chris McCord, Bruce Tate, Jose Valim ...

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, this definitive guide will be your constant ... Les mer

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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, this definitive guide will be your constant
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Exploring Graphs with Elixir

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av Tony Hammond ...

Data is everywhere - it's just not very well connected, which makes it super hard to relate dataset to dataset. Using graphs as the underlying glue, you can readily join data together and create navigation paths across diverse sets of data. Add Elixir, with its awesome power of concurrency, and you'll soon be mastering data networks. Learn how different graph models can be accessed and used from ... Les mer

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Python for Absolute Beginners

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av VERA POE ...

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av Leonardo Merola, Lucia Silvestris, Sabina Tangaro, Guido Russo, Giorgio Maggi, Giuliano Laccetti, Guglielmo De Nardo, Giuseppe Andronico, Roberto Bellotti, Enrico Tassi ...

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Ultimate C# for High-Performance Applications

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Master parallelism and async to create enterprise-grade, high-performance apps.Key Features● Unlock advanced multithreading, async, and parallelism in C#.● Master tools to debug, profile, and crush performance issues.● Build real-world, production-ready apps that scale effortlessly.Book DescriptionHigh-performance software is no longer optional—today’s applications must be fast, scalable... ... Les mer

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Virtualization: A Manager's Guide

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av Subrata Ray ...

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av Frederic Magoules, Jie Pan, Fei Teng ...

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Parallel Iterative Algorithms

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av Jacques Mohcine Bahi, Sylvain Contassot-Vivier, Raphael Couturier ...

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Build high-performing, concurrent, and distributed applications

av Dr. Gabriele Lanaro ...

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av John Cheng, Max Grossman, Ty McKercher ...

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Hands-On GPU Computing with Python

Explore the capabilities of GPUs for solving high performance computational problems

av 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 ... Les mer

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Unity Pro Series: Engineering Cutting-Edge Game Mechanics

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av Kameron Hussain, Frahaan Hussain ...

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Funktionen in Python Schritt für Schritt lernen

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av Dargslan ...

Serie Bok 3 - Python-Programmierung für Einsteiger
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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)

av Fabio Nelli ...

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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

av Tim Peters ...

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Practical Rendering and Computation with Direct3D 11

av Jason Zink, Matt Pettineo, Jack Hoxley ...

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 ... Les mer

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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
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Heterogeneous Computing Architectures

Challenges and Vision

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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 ... Les mer

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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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Anbefalt for deg

Parallell programmering e-bøker

Seven Concurrency Models in Seven Weeks

Programming Phoenix

Exploring Graphs with Elixir

Python for Absolute Beginners

High Performance Scientific Computing Using Distributed Infrastructures

Ultimate C# for High-Performance Applications

Virtualization: A Manager's Guide

Perl 6 Deep Dive

Fortran 2018 with Parallel Programming

Cloud Computing

Parallel Iterative Algorithms

Machine Learning with Rust, Second Edition

Python Beyond Limits

Full Stack Web Development

Python High Performance

Professional CUDA C Programming

Kickstart Compiler Design Fundamentals: Practical Techniques and Solutions for Compiler Design, Parsing, Optimization, and Code Generation

Hands-On GPU Computing with Python

Unity Pro Series: Engineering Cutting-Edge Game Mechanics

Funktionen in Python Schritt für Schritt lernen

Parallel and High Performance Programming with Python

Parallel Python with Dask

Practical Rendering and Computation with Direct3D 11

Heterogeneous Computing Architectures