Implementing New Algorithm with CUDA Kernels | CUDA C++ Class Part 3

Welcome to NVIDIA’s Modern CUDA C++ Programming Class. You will learn how to implement new algorithms on the GPU using CUDA Kernels. This series is for C++ developers who want to use the GPU effectively—whether you’re new to CUDA and want the fastest path from “hello world” to real acceleration, or you’re an experienced CUDA programmer ready to modernize your code with the latest best practices. If you already know C++ and want to write clean, efficient, idiomatic GPU code, this course is for you. This video is part of a broader playlist containing three videos. We advise you to start from the first video. 📝 Part 1:    • Accelerating Applications with Parallel Al...   📝 Part 2:    • Asynchrony and CUDA Streams | CUDA C++ Cla...   📝 Full Playlist:    • Modern CUDA C++ Programming Class   ➡️ Link to the slides and Google Colab to run the exercise for free on the GPU: https://github.com/NVIDIA/accelerated... For the DLI version, please visit: https://learn.nvidia.com/courses/cour... Chapters: 00:00:00 Introduction 00:00:22 CUDA Kernels 00:17:30 Exercise Symmetry 00:18:32 Solution Symmetry 00:19:20 Exercise Row Symmetry 00:19:38 Solution Row Symmetry 00:21:38 Debugging Tools and Atomic Operations 00:36:38 Exercise Fix Histogram 00:36:59 Solution Fix Histogram 00:38:18 Privatized Histogram and Thread Scope 00:47:36 Exercise Fix Histogram 2 00:48:08 Solution Fix Histogram 2 00:49:35 SM and Shared Memory 00:55:45 Exercise Optimize Histogram 00:56:05 Solution Optimize Histogram 00:57:58 CUB 01:05:05 Exercise Cooperative Histogram 01:05:24 Solution Cooperative Histogram 01:06:06 Takeways 01:08:17 Final Review 01:10:43 Final Assessment