cchan / tcclLinks
extensible collectives library in triton
☆88Updated 4 months ago
Alternatives and similar repositories for tccl
Users that are interested in tccl are comparing it to the libraries listed below
Sorting:
- ☆85Updated 8 months ago
- A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.☆200Updated this week
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆193Updated this week
- Applied AI experiments and examples for PyTorch☆289Updated 2 months ago
- PyTorch bindings for CUTLASS grouped GEMM.☆106Updated 2 months ago
- ☆227Updated this week
- Fast low-bit matmul kernels in Triton☆338Updated this week
- TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing.☆91Updated last month
- A Quirky Assortment of CuTe Kernels☆374Updated this week
- ☆107Updated 11 months ago
- Collection of kernels written in Triton language☆139Updated 3 months ago
- A bunch of kernels that might make stuff slower 😉☆56Updated this week
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆113Updated last year
- ☆101Updated 7 months ago
- Boosting 4-bit inference kernels with 2:4 Sparsity☆80Updated 10 months ago
- 🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.☆206Updated this week
- Cataloging released Triton kernels.☆246Updated 6 months ago
- This repository contains the experimental PyTorch native float8 training UX☆224Updated last year
- Framework to reduce autotune overhead to zero for well known deployments.☆79Updated last week
- ☆227Updated last year
- ring-attention experiments☆145Updated 9 months ago
- Effective transpose on Hopper GPU☆23Updated 3 months ago
- Fastest kernels written from scratch☆308Updated 4 months ago
- DeeperGEMM: crazy optimized version☆70Updated 2 months ago
- Triton-based implementation of Sparse Mixture of Experts.☆230Updated 8 months ago
- ☆74Updated 4 months ago
- Ahead of Time (AOT) Triton Math Library☆74Updated last week
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆260Updated 2 weeks ago
- ☆28Updated 6 months ago
- Fast Hadamard transform in CUDA, with a PyTorch interface☆213Updated last year