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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

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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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af Julian Shun ...

Serier serie ACM Books
Parallelism is the key to achieving high performance in computing. However, writing efficient and scalable parallel programs is notoriously difficult, and often requires significant expertise. To address this challenge, it is crucial to provide programmers with high-level tools to enable them to develop solutions easily, and at the same time emphasize the theoretical and practical aspects of ... Læs mere

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af Primož Gabrijelčič ...

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af Joe Duffy ...

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The Art of Concurrency

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Persistence Best Practices for Java Applications

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af Karina Varela, Otavio Santana ...

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Rust In Practice, Second Edition

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

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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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Anbefalet til dig

Parallel programmering e-bøger

Delphi GUI Programming with FireMonkey

Programming Your GPU with OpenMP

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

Delphi High Performance

Learning MCollective

Concurrent Programming on Windows

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