evintunador / triton_docs_tutorialsLinks
making the official triton tutorials actually comprehensible
☆111Updated 5 months ago
Alternatives and similar repositories for triton_docs_tutorials
Users that are interested in triton_docs_tutorials are comparing it to the libraries listed below
Sorting:
- ☆236Updated last year
- A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS☆251Updated 9 months ago
- Cataloging released Triton kernels.☆292Updated 5 months ago
- coding CUDA everyday!☆73Updated last week
- Learn CUDA with PyTorch☆200Updated this week
- A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.☆457Updated 11 months ago
- Fast low-bit matmul kernels in Triton☆429Updated last week
- A repository to unravel the language of GPUs, making their kernel conversations easy to understand☆198Updated 8 months ago
- Collection of kernels written in Triton language☆178Updated 2 weeks ago
- ☆177Updated 2 years ago
- An extension of the nanoGPT repository for training small MOE models.☆236Updated 11 months ago
- ☆288Updated this week
- a minimal cache manager for PagedAttention, on top of llama3.☆135Updated last year
- ring-attention experiments☆165Updated last year
- ☆232Updated 2 months ago
- Applied AI experiments and examples for PyTorch☆315Updated 5 months ago
- mHC kernels implemented in CUDA☆249Updated 3 weeks ago
- LLaMA 2 implemented from scratch in PyTorch☆366Updated 2 years ago
- Efficient LLM Inference over Long Sequences☆394Updated 7 months ago
- Official Problem Sets / Reference Kernels for the GPU MODE Leaderboard!☆201Updated this week
- FlexAttention based, minimal vllm-style inference engine for fast Gemma 2 inference.☆334Updated 3 months ago
- GPU Kernels☆220Updated 9 months ago
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆326Updated this week
- Accelerating MoE with IO and Tile-aware Optimizations☆583Updated this week
- QuTLASS: CUTLASS-Powered Quantized BLAS for Deep Learning☆165Updated 3 months ago
- Notes on quantization in neural networks☆117Updated 2 years ago
- A Quirky Assortment of CuTe Kernels☆798Updated this week
- Load compute kernels from the Hub☆397Updated this week
- Examples and exercises from the book Programming Massively Parallel Processors - A Hands-on Approach. David B. Kirk and Wen-mei W. Hwu (T…☆77Updated 5 years ago
- Fast Hadamard transform in CUDA, with a PyTorch interface☆281Updated 3 months ago