NVIDIA / tilusLinks
Tilus is a tile-level kernel programming language with explicit control over shared memory and registers.
☆381Updated this week
Alternatives and similar repositories for tilus
Users that are interested in tilus are comparing it to the libraries listed below
Sorting:
- kernels, of the mega variety☆587Updated 3 weeks ago
- NVIDIA NVSHMEM is a parallel programming interface for NVIDIA GPUs based on OpenSHMEM. NVSHMEM can significantly reduce multi-process com…☆351Updated last week
- TritonParse: A Compiler Tracer, Visualizer, and Reproducer for Triton Kernels☆160Updated last week
- A Quirky Assortment of CuTe Kernels☆637Updated last week
- A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.☆389Updated last week
- An experimental CPU backend for Triton☆153Updated last week
- AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming☆91Updated this week
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆264Updated this week
- ☆240Updated last week
- ☆92Updated 11 months ago
- Fast low-bit matmul kernels in Triton☆381Updated 3 weeks ago
- Official Problem Sets / Reference Kernels for the GPU MODE Leaderboard!☆99Updated last week
- AI Tensor Engine for ROCm☆287Updated this week
- ☆121Updated 7 months ago
- Fastest kernels written from scratch☆377Updated last month
- High-Performance SGEMM on CUDA devices☆107Updated 9 months ago
- extensible collectives library in triton☆89Updated 6 months ago
- Collection of kernels written in Triton language☆157Updated 6 months ago
- MLIR-based partitioning system☆139Updated this week
- Applied AI experiments and examples for PyTorch☆299Updated 2 months ago
- ☆141Updated 9 months ago
- Perplexity GPU Kernels☆497Updated last month
- Github mirror of trition-lang/triton repo.☆86Updated this week
- Evaluating Large Language Models for CUDA Code Generation ComputeEval is a framework designed to generate and evaluate CUDA code from Lar…☆68Updated 3 weeks ago
- This repository contains companion software for the Colfax Research paper "Categorical Foundations for CuTe Layouts".☆69Updated last month
- Cataloging released Triton kernels.☆263Updated last month
- How to ensure correctness and ship LLM generated kernels in PyTorch☆66Updated last week
- An experimental CPU backend for Triton (https//github.com/openai/triton)☆45Updated 2 months ago
- Shared Middle-Layer for Triton Compilation☆292Updated 2 weeks ago
- KernelBench: Can LLMs Write GPU Kernels? - Benchmark with Torch -> CUDA problems☆612Updated 2 weeks ago