wafer-ai / gpu-perf-engineering-resourcesLinks
A curriculum for learning about gpu performance engineering, from scratch to what the frontier AI labs do
☆349Updated last month
Alternatives and similar repositories for gpu-perf-engineering-resources
Users that are interested in gpu-perf-engineering-resources are comparing it to the libraries listed below
Sorting:
- Learn CUDA with PyTorch☆200Updated this week
- A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS☆251Updated 9 months ago
- A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.☆457Updated 11 months ago
- Small scale distributed training of sequential deep learning models, built on Numpy and MPI.☆155Updated 2 years ago
- ☆1,011Updated this week
- Official Problem Sets / Reference Kernels for the GPU MODE Leaderboard!☆201Updated this week
- ☆130Updated 3 months ago
- ☆288Updated this week
- Helpful kernel tutorials and examples for tile-based GPU programming☆630Updated last week
- Slides, notes, and materials for the workshop☆339Updated last year
- Cataloging released Triton kernels.☆292Updated 5 months ago
- Write a fast kernel and run it on Discord. See how you compare against the best!☆71Updated this week
- A repository to unravel the language of GPUs, making their kernel conversations easy to understand☆198Updated 8 months ago
- ☆79Updated 2 years ago
- Fast low-bit matmul kernels in Triton☆429Updated last week
- Simple MPI implementation for prototyping or learning☆300Updated 6 months ago
- Some CUDA example code with READMEs.☆179Updated 3 months ago
- GPU documentation for humans☆518Updated 2 weeks ago
- torchcomms: a modern PyTorch communications API☆330Updated this week
- Fastest kernels written from scratch☆533Updated 4 months ago
- Collection of kernels written in Triton language☆178Updated 2 weeks ago
- Learning about CUDA by writing PTX code.☆152Updated last year
- TritonParse: A Compiler Tracer, Visualizer, and Reproducer for Triton Kernels☆194Updated last week
- A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.☆744Updated this week
- Quantized LLM training in pure CUDA/C++.☆238Updated 3 weeks ago
- Tilus is a tile-level kernel programming language with explicit control over shared memory and registers.☆441Updated last week
- kernels, of the mega variety☆672Updated 2 weeks ago
- Perplexity open source garden for inference technology☆362Updated last month
- ☆215Updated last year
- CUDA Tile IR is an MLIR-based intermediate representation and compiler infrastructure for CUDA kernel optimization, focusing on tile-base…☆823Updated 3 weeks ago