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Delphi GUI Programming with FireMonkey

Unleash the full potential of the FMX framework to build exciting cross-platform apps with Embarcadero Delphi

af Andrea Magni ...

Create modern yet effective multi-platform applications by building interactive UIs following a single codebase approach to boost productivityKey FeaturesDelve into the FireMonkey framework and explore its powerful capabilitiesEnhance the user experience by using various technologies included in Delphi and FMXBoost developer productivity through the cross-platform capabilities enabled by the ... Læs mere

341,99 kr. eller Gratis med Kobo Plus

Create modern yet effective multi-platform applications by building interactive UIs following a single codebase approach to boost productivityKey FeaturesDelve into the FireMonkey framework and explore its powerful capabilitiesEnhance the user experience by using various technologies included in Delphi and FMXBoost developer productivity through the cross-platform capabilities enabled by the
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Programming Your GPU with OpenMP

Performance Portability for GPUs

af Tom Deakin, Timothy G. Mattson ...

Serier serie Scientific and Engineering Computation
The essential guide for writing portable, parallel programs for GPUs using the OpenMP programming model.Today’s computers are complex, multi-architecture systems: multiple cores in a shared address space, graphics processing units (GPUs), and specialized accelerators. To get the most from these systems, programs must use all these different processors. In Programming Your GPU with OpenMP, Tom ... Læs mere

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The essential guide for writing portable, parallel programs for GPUs using the OpenMP programming model.Today’s computers are complex, multi-architecture systems: multiple cores in a shared address space, graphics processing units (GPUs), and specialized accelerators. To get the most from these systems, programs must use all these different processors. In Programming Your GPU with OpenMP, Tom
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MapReduce Design Patterns

Building Effective Algorithms and Analytics for Hadoop and Other Systems

af Donald Miner, Adam Shook ...

Until now, design patterns for the MapReduce framework have been scattered among various research papers, blogs, and books. This handy guide brings together a unique collection of valuable MapReduce patterns that will save you time and effort regardless of the domain, language, or development framework you’re using.Each pattern is explained in context, with pitfalls and caveats clearly identified ... Læs mere

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Until now, design patterns for the MapReduce framework have been scattered among various research papers, blogs, and books. This handy guide brings together a unique collection of valuable MapReduce patterns that will save you time and effort regardless of the domain, language, or development framework you’re using.Each pattern is explained in context, with pitfalls and caveats clearly identified
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Shared-Memory Parallelism Can be Simple, Fast, and Scalable

af Julian Shun ...

Serier serie ACM Books
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af Dan Kusnetzky ...

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GPU Pro 360 Guide to 3D Engine Design

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Performance Tuning of Scientific Applications

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With contributions from some of the most notable experts in the field, Performance Tuning of Scientific Applications presents current research in performance analysis. The book focuses on the following areas.Performance monitoring: Describes the state of the art in hardware and software tools that are commonly used for monitoring and measuring perf ... Læs mere

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af Anais Sutherland ...

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af Wisnu Anggoro ...

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af Jason Alls ...

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From low-level kernels to real-world applications in scientific computing and machine learning

af Niels Cautaerts, Hossein Ghorbanfekr ...

Accelerate your Python code on the GPU using CUDA, Numba, and modern libraries to solve real-world problems faster and more efficiently.Key FeaturesBuild a solid foundation in CUDA with Python, from kernel design to execution and debuggingOptimize GPU performance with efficient memory access, CUDA streams, and multi-GPU scalingUse JAX, CuPy, RAPIDS, and Numba to accelerate numerical computing and ... Læs mere

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af Yair M. Altman ...

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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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Async/Await、多執行緒、與平行處理

af 蔡煥麟 ...

Serier Bog 2 - .NET 開發者修練系列
你是否曾經在撰寫 .NET 應用程式時，遇過 UI 卡住、網站回應變慢、背景工作吞吐量不佳，或是被 async/await、Task.Run、ConfigureAwait(false)、取消與例外處理搞得一頭霧水？本書就是為了解決這些問題而寫。這是一本從觀念建立到實戰應用，系統性帶你掌握 .NET 10 非同步程式設計的技術書。全書以清楚易懂的方式，帶你理解執行緒、Task、async/await、取消與逾時、同步機制、平行處理、非同步資料流、非同步資源管理，以及進階的 TaskCompletionSource、ValueTask、ExecutionContext、TaskScheduler、API 設計等主題。本書不只告訴你語法怎麼寫，更重視背後的思考方式與實務判斷。你將學會什麼時候該用非同步、什麼時候該用平行處理、如何避免常見陷阱（例如 sync-over-async、死鎖 ... Læs mere

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Efficient Android Threading

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af Anders Goransson ...

Multithreading is essential if you want to create an Android app with a great user experience, but how do you know which techniques can help solve your problem? This practical book describes many asynchronous mechanisms available in the Android SDK, and provides guidelines for selecting the ones most appropriate for the app you’re building.Author Anders Goransson demonstrates the advantages and ... Læs mere

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Multithreading is essential if you want to create an Android app with a great user experience, but how do you know which techniques can help solve your problem? This practical book describes many asynchronous mechanisms available in the Android SDK, and provides guidelines for selecting the ones most appropriate for the app you’re building.Author Anders Goransson demonstrates the advantages and
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The Art of Concurrency

A Thread Monkey's Guide to Writing Parallel Applications

af Clay Breshears ...

If you're looking to take full advantage of multi-core processors with concurrent programming, this practical book provides the knowledge and hands-on experience you need. The Art of Concurrency is one of the few resources to focus on implementing algorithms in the shared-memory model of multi-core processors, rather than just theoretical models or distributed-memory architectures. The book ... Læs mere

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Persistence Best Practices for Java Applications

Effective strategies for distributed cloud-native applications and data-driven modernization

af Karina Varela, Otavio Santana ...

The definitive guide for designing and delivering reliable and high-performing persistence layers using Java in the cloud-native age Purchase of the print or Kindle book includes a free PDF eBookKey FeaturesUncover database patterns for designing readable and maintainable architectures and Java applicationsMaster various techniques to overcome application and architecture persistence ... Læs mere

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The definitive guide for designing and delivering reliable and high-performing persistence layers using Java in the cloud-native age Purchase of the print or Kindle book includes a free PDF eBookKey FeaturesUncover database patterns for designing readable and maintainable architectures and Java applicationsMaster various techniques to overcome application and architecture persistence
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Rust In Practice, Second Edition

af Rick Tim, Ralph J, B Anderson ...

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PowerShell Playbook: Taming the Terminal with Wit, Script, and Wizardry

af Scott Markham ...

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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)

af Fabio Nelli ...

Unleash the capabilities of Python and its libraries for solving high performance computational problems.KEY FEATURES● Explores parallel programming concepts and techniques for high-performance computing.● Covers parallel algorithms, multiprocessing, distributed computing, and GPU programming.● Provides practical use of popular Python libraries/tools like NumPy, Pandas, Dask, and TensorFlow ... Læs mere

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Unleash the capabilities of Python and its libraries for solving high performance computational problems.KEY FEATURES● Explores parallel programming concepts and techniques for high-performance computing.● Covers parallel algorithms, multiprocessing, distributed computing, and GPU programming.● Provides practical use of popular Python libraries/tools like NumPy, Pandas, Dask, and TensorFlow
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Parallel Programming with Python

af Jan Palach ...

A fast, easy-to-follow and clear tutorial to help you develop Parallel computing systems using Python. Along with explaining the fundamentals, the book will also introduce you to slightly advanced concepts and will help you in implementing these techniques in the real world. If you are an experienced Python programmer and are willing to utilize the available computing resources by parallelizing ... Læs mere

150,86 kr. eller Gratis med Kobo Plus

A fast, easy-to-follow and clear tutorial to help you develop Parallel computing systems using Python. Along with explaining the fundamentals, the book will also introduce you to slightly advanced concepts and will help you in implementing these techniques in the real world. If you are an experienced Python programmer and are willing to utilize the available computing resources by parallelizing
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Anbefalet til dig

Parallel programmering e-bøger

Delphi GUI Programming with FireMonkey

Programming Your GPU with OpenMP

MapReduce Design Patterns

Shared-Memory Parallelism Can be Simple, Fast, and Scalable

Virtualization: A Manager's Guide

GPU Pro 360 Guide to 3D Engine Design

Performance Tuning of Scientific Applications

C++ Programming Cookbook

C++ Data Structures and Algorithms

High-Performance Programming in C# and .NET

GPU-Accelerated Computing with Python 3 and CUDA

Asynchronous Programming in Rust

Asynchronous Programming in Python

Rust High Performance

Distributed Computing with Go

Accelerating MATLAB Performance

深入淺出 .NET 10 併發程式設計

Efficient Android Threading

The Art of Concurrency

Persistence Best Practices for Java Applications

Rust In Practice, Second Edition

PowerShell Playbook: Taming the Terminal with Wit, Script, and Wizardry

Parallel and High Performance Programming with Python

Parallel Programming with Python