hkproj / triton-flash-attentionLinks
☆222Updated 11 months ago
Alternatives and similar repositories for triton-flash-attention
Users that are interested in triton-flash-attention are comparing it to the libraries listed below
Sorting:
- A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS☆244Updated 7 months ago
- Cataloging released Triton kernels.☆274Updated 2 months ago
- making the official triton tutorials actually comprehensible☆75Updated 3 months ago
- A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.☆438Updated 8 months ago
- Learn CUDA with PyTorch☆117Updated last week
- A repository to unravel the language of GPUs, making their kernel conversations easy to understand☆196Updated 6 months ago
- Fast low-bit matmul kernels in Triton☆402Updated 2 weeks ago
- Applied AI experiments and examples for PyTorch☆308Updated 3 months ago
- a minimal cache manager for PagedAttention, on top of llama3.☆126Updated last year
- ☆257Updated this week
- ☆177Updated last year
- An extension of the nanoGPT repository for training small MOE models.☆215Updated 8 months ago
- ring-attention experiments☆160Updated last year
- Collection of kernels written in Triton language☆172Updated 8 months ago
- ☆224Updated last week
- LLM KV cache compression made easy☆701Updated this week
- GPU Kernels☆209Updated 7 months ago
- LLaMA 2 implemented from scratch in PyTorch☆361Updated 2 years ago
- 🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…☆271Updated last week
- A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.☆584Updated 3 months ago
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆297Updated this week
- Fastest kernels written from scratch☆405Updated 2 months ago
- FlexAttention based, minimal vllm-style inference engine for fast Gemma 2 inference.☆313Updated last month
- Efficient LLM Inference over Long Sequences☆392Updated 5 months ago
- Load compute kernels from the Hub☆337Updated last week
- Recreating PyTorch from scratch (C/C++, CUDA, NCCL and Python, with multi-GPU support and automatic differentiation!)☆161Updated last week
- Fast Hadamard transform in CUDA, with a PyTorch interface☆264Updated last month
- ☆44Updated 8 months ago
- Official Problem Sets / Reference Kernels for the GPU MODE Leaderboard!☆164Updated last week
- coding CUDA everyday!☆71Updated 3 weeks ago