andylolu2 / simpleGEMMLinks
The simplest but fast implementation of matrix multiplication in CUDA.
☆39Updated last year
Alternatives and similar repositories for simpleGEMM
Users that are interested in simpleGEMM are comparing it to the libraries listed below
Sorting:
- A bunch of kernels that might make stuff slower 😉☆65Updated 2 weeks ago
- extensible collectives library in triton☆91Updated 8 months ago
- ☆263Updated this week
- This repository contains the experimental PyTorch native float8 training UX☆227Updated last year
- Fast low-bit matmul kernels in Triton☆410Updated this week
- ☆97Updated last year
- Collection of kernels written in Triton language☆172Updated 8 months ago
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆301Updated this week
- Cataloging released Triton kernels.☆277Updated 3 months ago
- A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.☆691Updated this week
- Applied AI experiments and examples for PyTorch☆311Updated 3 months ago
- ring-attention experiments☆160Updated last year
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆123Updated last year
- A Quirky Assortment of CuTe Kernels☆701Updated this week
- Small scale distributed training of sequential deep learning models, built on Numpy and MPI.☆153Updated 2 years ago
- A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS☆244Updated 7 months ago
- Triton-based implementation of Sparse Mixture of Experts.☆253Updated 2 months ago
- A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.☆585Updated 4 months ago
- ☆340Updated last week
- High-Performance SGEMM on CUDA devices☆113Updated 10 months ago
- ☆115Updated last year
- ☆121Updated last year
- Triton-based Symmetric Memory operators and examples☆67Updated 2 months ago
- ☆159Updated 2 years ago
- Memory Optimizations for Deep Learning (ICML 2023)☆113Updated last year
- JAX bindings for Flash Attention v2☆101Updated last month
- Fastest kernels written from scratch☆499Updated 3 months ago
- ☆185Updated last year
- Accelerating MoE with IO and Tile-aware Optimizations☆351Updated this week
- 🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.☆216Updated last week