Introduction to GPU computing with CUDA

所在平台: Udemy

课程主页: https://www.udemy.com/course/introduction-to-gpu-computing-with-cuda/

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课程简介

**课程名称:** GPU计算入门:CUDA编程 **课程概述:** 本课程旨在介绍现代并行计算应用,例如自动驾驶汽车、机器学习和增强现实的底层技术。课程将重点讲解高性能图形处理器(GPU)及其编程语言CUDA。通过掌握CUDA,学习者将能够在家中轻松利用超级计算机级别的计算能力。 课程的主要目标包括: * **理解GPU架构:** 深入了解图形处理器的基本架构和工作原理。 * **CUDA编程入门:** 学习CUDA编程模型,掌握如何为GPU编写程序。 * **实践开发:** 通过开发一系列难度递增的简单示例,巩固CUDA编程技能。 本课程将赋能学习者,使其能够轻松而高效地利用GPU进行并行计算,为解决复杂的计算问题打下坚实基础。

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课程详情

Self-driving cars, machine learning and augmented reality are some of the examples of modern applications that involve parallel computing. With the availability of high performance GPUs and a language, such as CUDA, which greatly simplifies programming, everyone can have at home and easily use a supercomputer. The aim of this course is to provide the basics of the architecture of a graphics card and allow a first approach to CUDA programming by developing simple examples with a growing degree of difficulty.

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