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所在平台: Udemy |
课程主页: https://www.udemy.com/course/introduction-to-parallel-programming-using-gpgpu-and-cuda/
课程评论：没有评论
课程名称：**Beginning CUDA Programming: Zero to Hero, First Course!** **课程简介：** 本课程是Udemy平台上首个CUDA编程入门课程，旨在以易于理解的方式介绍NVIDIA的CUDA并行架构和编程模型。这是“科学计算入门”大师班的第一门课程，计划每月更新并增加课程内容和练习。 **CUDA是什么？** CUDA是NVIDIA创建的并行计算平台和应用程序编程接口（API）模型。最初是“Compute Unified Device Architecture”的缩写，现在已成为其本身名称。 **您将学到什么？** 本课程通过从小到大的难度递增的简单示例，从CUDA工具包安装到代码编写（包括线程和块等概念），以“边看边学”的方式教授CUDA编程。课程内容包括： * GPU基础知识 * CUDA安装 * CUDA工具包 * 多种组合的CUDA线程和块 * CUDA编程示例： * 向量加法 * 矩阵乘法 **特色与附加价值：** * **首创在线CUDA编程游乐场：** 购买课程的学生将免费获得Scientific Programming School (SCIENTIFIC PROGRAMMING IO) 提供的课程互动版本。 * **Zoom直播讲座系列：** 根据学员反馈，将开设Zoom直播课程，深入讲解并行与分布式计算以及高性能计算（HPC）系统软件栈的各个方面，包括Slurm、PBS Pro、OpenMP、MPI和CUDA。直播将通过Scientific Programming School这一互动式高级科学编码学习平台进行。 **免责声明：** 课程中使用的部分图片归NVIDIA所有。
WELCOME!This is the first CUDA programming course on the Udemy platform. It aims to introduce the NVIDIA's CUDA parallel architecture and programming model in an easy-to-understand way where-ever appropriate. This is the first course of the Scientific Computing Essentials master class. We plan to update the lessons and add more lessons and exercises every month!WHAT IS CUDA?CUDA is a parallel computing platform and application programming interface (API) model created by NVIDIA. When it was first introduced, the name was an acronym for Compute Unified Device Architecture, but now it's only called CUDA. Some of the images used in this course are copyrighted to nVIDIA. WHAT DO YOU LEARN?This course show and tell CUDA programming by developing simple examples with a growing degree of difficulty starting from the CUDA toolkit installation to coding with the help of block and threads and so on. This course covers:GPU BasicsCUDA Installation CUDA Toolkit CUDA Threads and Blocks in various combinationsCUDA Coding ExamplesVector additionMatrix multiplicationThis course comes with the first-ever online CUDA programming playgrounds. Students purchasing this course will receive free access to the interactive version of this course from the Scientific Programming School (SCIENTIFIC PROGRAMMING IO). Instruction are given in the bonus content section. Based on your earlier feedback, we are introducing a Zoom live class lecture series on this course through which we will explain different aspects of the Parallel and distributed computing and the High Performance Computing (HPC) systems software stack: Slurm, PBS Pro, OpenMP, MPI and CUDA! Live classes will be delivered through the Scientific Programming School, which is an interactive and advanced e-learning platform for learning scientific coding.DISCLAIMERSome of the images used in this course are copyrighted to NVIDIA.
