Deep-Learning-Profiling-Tools / triton-samplesLinks
☆14Updated 8 months ago
Alternatives and similar repositories for triton-samples
Users that are interested in triton-samples are comparing it to the libraries listed below
Sorting:
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆277Updated this week
- Collection of kernels written in Triton language☆161Updated 7 months ago
- ☆93Updated last year
- Automatic differentiation for Triton Kernels☆28Updated 2 months ago
- Cataloging released Triton kernels.☆264Updated 2 months ago
- Framework to reduce autotune overhead to zero for well known deployments.☆85Updated last month
- ☆246Updated this week
- TritonParse: A Compiler Tracer, Visualizer, and Reproducer for Triton Kernels☆167Updated last week
- ring-attention experiments☆155Updated last year
- TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing.☆100Updated 4 months ago
- An experimental CPU backend for Triton (https//github.com/openai/triton)☆47Updated 2 months ago
- This repository contains companion software for the Colfax Research paper "Categorical Foundations for CuTe Layouts".☆74Updated last month
- A bunch of kernels that might make stuff slower 😉☆64Updated last week
- High-Performance SGEMM on CUDA devices☆109Updated 9 months ago
- ☆47Updated 6 months ago
- extensible collectives library in triton☆90Updated 7 months ago
- JaxPP is a library for JAX that enables flexible MPMD pipeline parallelism for large-scale LLM training☆55Updated 3 weeks ago
- Applied AI experiments and examples for PyTorch☆302Updated 2 months ago
- ☆27Updated last year
- a minimal cache manager for PagedAttention, on top of llama3.☆125Updated last year
- Fast low-bit matmul kernels in Triton☆392Updated 2 weeks ago
- A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.☆585Updated this week
- DeeperGEMM: crazy optimized version☆72Updated 6 months ago
- QuTLASS: CUTLASS-Powered Quantized BLAS for Deep Learning☆125Updated last week
- ☆243Updated last year
- ☆123Updated 2 weeks ago
- ☆112Updated last year
- Official Problem Sets / Reference Kernels for the GPU MODE Leaderboard!☆116Updated last week
- ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.☆124Updated 5 months ago
- Learn CUDA with PyTorch☆100Updated last month