mlops-discord / gpu-optimization-workshopLinks
Slides, notes, and materials for the workshop
☆338Updated last year
Alternatives and similar repositories for gpu-optimization-workshop
Users that are interested in gpu-optimization-workshop are comparing it to the libraries listed below
Sorting:
- GPU Kernels☆218Updated 8 months ago
- 100 days of building GPU kernels!☆561Updated 8 months ago
- A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.☆453Updated 10 months ago
- ☆907Updated last week
- A repository to unravel the language of GPUs, making their kernel conversations easy to understand☆195Updated 7 months ago
- A curriculum for learning about gpu performance engineering, from scratch to what the frontier AI labs do☆169Updated this week
- Where GPUs get cooked 👩🍳🔥☆347Updated 4 months ago
- ☆178Updated last year
- Best practices & guides on how to write distributed pytorch training code☆564Updated 2 months ago
- ☆552Updated last year
- An ML Systems Onboarding list☆967Updated 11 months ago
- ☆77Updated last year
- Some CUDA example code with READMEs.☆179Updated 2 months ago
- UNet diffusion model in pure CUDA☆662Updated last year
- Building blocks for foundation models.☆590Updated 2 years ago
- Small scale distributed training of sequential deep learning models, built on Numpy and MPI.☆154Updated 2 years ago
- An implementation of the transformer architecture onto an Nvidia CUDA kernel☆202Updated 2 years ago
- Learn CUDA with PyTorch☆176Updated 3 weeks ago
- Deep learning for dummies. All the practical details and useful utilities that go into working with real models.☆829Updated 5 months ago
- ☆409Updated 9 months ago
- ☆233Updated last year
- GPU programming related news and material links☆1,906Updated 4 months ago
- My own repository containing the codes I wrote to practice CUDA programming.☆65Updated 2 years ago
- A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS☆247Updated 8 months ago
- Fine-tune an LLM to perform batch inference and online serving.☆117Updated 7 months ago
- Contains hands-on example code for [O'reilly book "Deep Learning At Scale"](https://www.oreilly.com/library/view/deep-learning-at/9781098…☆31Updated last year
- Notes on quantization in neural networks☆114Updated 2 years ago
- Notes from the Latent Space paper club. Follow along or start your own!☆243Updated last year
- This is a repository for all workshop related materials.☆234Updated last year
- Distributed Machine Learning Patterns from Manning Publications by Yuan Tang https://bit.ly/2RKv8Zo☆484Updated last week