# gpu-mode/lectures

**Attribution required: if you use, quote, or summarise this content, you must credit and link back to [awesome-repositories.com](https://awesome-repositories.com/repository/gpu-mode-lectures).**

6,204 stars · 627 forks · Jupyter Notebook · Apache-2.0

## Links

- GitHub: https://github.com/gpu-mode/lectures
- Homepage: https://www.youtube.com/@GPUMODE
- awesome-repositories: https://awesome-repositories.com/repository/gpu-mode-lectures.md

## Description

Material for gpu-mode lectures

## Tags

### Scientific & Mathematical Computing

- [Expert Lecture Series](https://awesome-repositories.com/f/scientific-mathematical-computing/gpu-accelerated-computation/expert-lecture-series.md) — Provides recorded expert talks and curated materials for self-paced study of GPU computing topics.

### Education & Learning Resources

- [Topic-Based Learning Paths](https://awesome-repositories.com/f/education-learning-resources/curricula-instructional-design/educational-frameworks-architectures/content-navigation-mapping/topic-based-learning-paths.md) — Groups lectures by GPU programming concepts like CUDA, Triton, and kernel optimization for structured learning paths.
- [GPU Lecture Materials](https://awesome-repositories.com/f/education-learning-resources/educational-resources/reference-and-media/tutorials-media-curated-lists/interactive-learning-media/video-learning-channels/video-lectures/lecture-sequences/gpu-lecture-materials.md) — Provides a curated collection of slides, notebooks, and code for GPU programming lectures covering CUDA and Triton. ([source](https://cdn.jsdelivr.net/gh/gpu-mode/lectures@main/README.md))
- [GPU Programming Courses](https://awesome-repositories.com/f/education-learning-resources/gpu-programming-courses.md) — Teaches GPU programming concepts through structured lectures, slides, and hands-on notebooks covering CUDA and Triton.
- [Embedded Notebook Executions](https://awesome-repositories.com/f/education-learning-resources/jupyter-notebook-curricula/embedded-notebook-executions.md) — Embeds runnable code cells directly into lecture content for executing GPU kernels without leaving the browser.
- [Lecture-Notebook Pairs](https://awesome-repositories.com/f/education-learning-resources/jupyter-notebook-curricula/lecture-notebook-pairs.md) — Provides interactive Jupyter notebooks that accompany lectures for practicing GPU kernel development and optimization. ([source](https://cdn.jsdelivr.net/gh/gpu-mode/lectures@main/README.md))
- [Recorded Lecture Architectures](https://awesome-repositories.com/f/education-learning-resources/machine-learning-lectures/recorded-lecture-architectures.md) — Organizes learning materials around recorded talks as the primary unit, with slides and notebooks as supplementary assets.
- [Technical Talks](https://awesome-repositories.com/f/education-learning-resources/technical-talks.md) — Provides YouTube recordings of expert-led lectures on GPU computing topics from the GPU Mode community. ([source](https://cdn.jsdelivr.net/gh/gpu-mode/lectures@main/README.md))

### Graphics & Multimedia

- [YouTube Video Embeddings](https://awesome-repositories.com/f/graphics-multimedia/video-downloaders/youtube-media-consumption/youtube-video-embeddings.md) — Places video players inline with written materials so learners can watch and code simultaneously without switching tabs.

### Programming Languages & Runtimes

- [Interactive Kernel Practices](https://awesome-repositories.com/f/programming-languages-runtimes/compiler-interpreter-internals/compiler-infrastructure/jit-kernel-compilers/cuda-kernel-compilers/interactive-kernel-practices.md) — Provides interactive Jupyter notebooks for practicing GPU kernel writing and optimization techniques from expert-led sessions.