gpu-mode/lectures
Lectures
Material for gpu-mode lectures
Features
- Expert Lecture Series - Provides recorded expert talks and curated materials for self-paced study of GPU computing topics.
- Topic-Based Learning Paths - Groups lectures by GPU programming concepts like CUDA, Triton, and kernel optimization for structured learning paths.
- GPU Lecture Materials - Provides a curated collection of slides, notebooks, and code for GPU programming lectures covering CUDA and Triton.
- GPU Programming Courses - Teaches GPU programming concepts through structured lectures, slides, and hands-on notebooks covering CUDA and Triton.
- Embedded Notebook Executions - Embeds runnable code cells directly into lecture content for executing GPU kernels without leaving the browser.
- Lecture-Notebook Pairs - Provides interactive Jupyter notebooks that accompany lectures for practicing GPU kernel development and optimization.
- Recorded Lecture Architectures - Organizes learning materials around recorded talks as the primary unit, with slides and notebooks as supplementary assets.
- Technical Talks - Provides YouTube recordings of expert-led lectures on GPU computing topics from the GPU Mode community.
- YouTube Video Embeddings - Places video players inline with written materials so learners can watch and code simultaneously without switching tabs.
- Interactive Kernel Practices - Provides interactive Jupyter notebooks for practicing GPU kernel writing and optimization techniques from expert-led sessions.
