HazyResearch / ThunderKittens
Tile primitives for speedy kernels
☆1,923Updated this week
Alternatives and similar repositories for ThunderKittens:
Users that are interested in ThunderKittens are comparing it to the libraries listed below
- Puzzles for learning Triton☆1,300Updated last month
- FlashInfer: Kernel Library for LLM Serving☆1,797Updated this week
- Flash Attention in ~100 lines of CUDA (forward pass only)☆681Updated 2 weeks ago
- Mirage: Automatically Generating Fast GPU Kernels without Programming in Triton/CUDA☆714Updated this week
- A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.☆505Updated 2 months ago
- GPU programming related news and material links☆1,312Updated last week
- PyTorch native quantization and sparsity for training and inference☆1,753Updated this week
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs…☆2,086Updated this week
- 🚀 Efficient implementations of state-of-the-art linear attention models in Pytorch and Triton☆1,669Updated this week
- A PyTorch native library for large model training☆3,091Updated this week
- Pipeline Parallelism for PyTorch☆736Updated 4 months ago
- Minimalistic 4D-parallelism distributed training framework for education purpose☆644Updated this week
- Make PyTorch models up to 40% faster! Thunder is a source to source compiler for PyTorch. It enables using different hardware executors a…☆1,257Updated this week
- Fast CUDA matrix multiplication from scratch☆579Updated last year
- A throughput-oriented high-performance serving framework for LLMs☆692Updated 3 months ago
- An open-source efficient deep learning framework/compiler, written in python.☆668Updated this week
- What would you do with 1000 H100s...☆948Updated last year
- Minimalistic large language model 3D-parallelism training☆1,386Updated this week
- Helpful tools and examples for working with flex-attention☆583Updated this week
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆680Updated 4 months ago
- UNet diffusion model in pure CUDA☆596Updated 6 months ago
- depyf is a tool to help you understand and adapt to PyTorch compiler torch.compile.☆550Updated last month
- Open weights language model from Google DeepMind, based on Griffin.☆614Updated 6 months ago
- Schedule-Free Optimization in PyTorch☆2,061Updated last month
- Material for gpu-mode lectures☆3,501Updated last week
- A Python-level JIT compiler designed to make unmodified PyTorch programs faster.☆1,016Updated 9 months ago
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding☆1,179Updated 3 months ago
- BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.☆496Updated this week
- Building blocks for foundation models.☆435Updated last year
- Implementation of 💍 Ring Attention, from Liu et al. at Berkeley AI, in Pytorch☆492Updated 2 months ago