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: https://youtu.be/Sdjn9FOkhnA
📝 Part 2: https://youtu.be/pyW9St8uM8w
📝 Full Playlist: https://www.youtube.com/playlist?list=PL5B692fm6--vWLhYPqLcEu6RF3hXjEyJr

➡️ Link to the slides and Google Colab to run the exercise for free on the GPU: https://github.com/NVIDIA/accelerated-computing-hub/tree/main/tutorials/cuda-cpp

For the DLI version, please visit: https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-AC-04+V2

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

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