microsoft / triton-sharedLinks
Shared Middle-Layer for Triton Compilation
☆256Updated this week
Alternatives and similar repositories for triton-shared
Users that are interested in triton-shared are comparing it to the libraries listed below
Sorting:
- Development repository for the Triton-Linalg conversion☆188Updated 4 months ago
- A Easy-to-understand TensorOp Matmul Tutorial☆364Updated 9 months ago
- ☆117Updated last month
- ☆212Updated 11 months ago
- An experimental CPU backend for Triton☆126Updated 3 weeks ago
- Assembler for NVIDIA Volta and Turing GPUs☆222Updated 3 years ago
- Unified compiler/runtime for interfacing with PyTorch Dynamo.☆100Updated last month
- OpenAI Triton backend for Intel® GPUs☆191Updated this week
- Experimental projects related to TensorRT☆105Updated last week
- ☆90Updated 5 months ago
- We invite you to visit and follow our new repository at https://github.com/microsoft/TileFusion. TiledCUDA is a highly efficient kernel …☆183Updated 4 months ago
- ☆194Updated 2 years ago
- MLIR-based partitioning system☆97Updated this week
- A model compilation solution for various hardware☆437Updated this week
- A home for the final text of all TVM RFCs.☆105Updated 9 months ago
- collection of benchmarks to measure basic GPU capabilities☆385Updated 4 months ago
- ☆148Updated this week
- ☆416Updated last week
- ☆98Updated last year
- TPP experimentation on MLIR for linear algebra☆131Updated this week
- Ahead of Time (AOT) Triton Math Library☆66Updated last week
- Intel® Extension for MLIR. A staging ground for MLIR dialects and tools for Intel devices using the MLIR toolchain.☆134Updated this week
- A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.☆166Updated this week
- IREE's PyTorch Frontend, based on Torch Dynamo.☆87Updated this week
- A Fusion Code Generator for NVIDIA GPUs (commonly known as "nvFuser")☆337Updated this week
- CUDA Matrix Multiplication Optimization☆196Updated 11 months ago
- MatMul Performance Benchmarks for a Single CPU Core comparing both hand engineered and codegen kernels.☆133Updated last year
- Several optimization methods of half-precision general matrix multiplication (HGEMM) using tensor core with WMMA API and MMA PTX instruct…☆425Updated 9 months ago
- Fastest kernels written from scratch☆281Updated 2 months ago
- A simple high performance CUDA GEMM implementation.☆380Updated last year