gaspersic/triton
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

[GENERAL] Some minor improvements here and there to build systems and docs (#148)

Browse Source
This commit is contained in:
Philippe Tillet
2021-07-28 01:51:17 -07:00
committed by GitHub
parent 57c1fd3366
commit acd5e44611
7 changed files with 60 additions and 49 deletions
Download Patch File Download Diff File Expand all files Collapse all files

20
README.md
View File

@@ -1,12 +1,20 @@
<img src="https://cdn.openai.com/triton/assets/triton-logo.png" alt="Triton logo" width="80" height="91">
<div align="center">
<img src="https://cdn.openai.com/triton/assets/triton-logo.png" alt="Triton logo" width="88" height="100">
</div>
[![Wheels](https://github.com/openai/triton/actions/workflows/wheels.yml/badge.svg?branch=master)](https://github.com/openai/triton/actions/workflows/wheels.yml)
**`Documentation`** |
------------------- |
[![Documentation](https://github.com/openai/triton/actions/workflows/documentation.yml/badge.svg)](https://triton-lang.org/)
# Triton
This is the development repository of Triton, a language and compiler for writing highly efficient custom Deep-Learning primitives. The aim of Triton is to provide an open-source environment to write fast code at higher productivity than CUDA, but also with higher flexibility than other existing DSLs.
[![Build Status](https://dev.azure.com/triton-lang/Triton/_apis/build/status/ptillet.triton?branchName=master)](https://dev.azure.com/triton-lang/Triton/_build/latest?definitionId=10&branchName=master)
The foundations of this project are described in the following MAPL2019 publication: [Triton: An Intermediate Language and Compiler for Tiled Neural Network Computations](http://www.eecs.harvard.edu/~htk/publication/2019-mapl-tillet-kung-cox.pdf). Please consider citing us if you use our work!
The foundations of this project are described in the following MAPL2019 publication: [Triton: An Intermediate Language and Compiler for Tiled Neural Network Computations](http://www.eecs.harvard.edu/~htk/publication/2019-mapl-tillet-kung-cox.pdf). Please consider citing this work if you use Triton!
The [official documentation](https://triton-lang.org) contains installation instructions and tutorials.
@@ -18,3 +26,7 @@ Supported Platforms:
Supported Hardware:
* NVIDIA GPUs (Compute Capability 7.0+)
* Under development: AMD GPUs, CPUs
# Disclaimer
Triton is a fairly recent project, and it is under active development. We expect it to be pretty useful in a wide variety of cases, but don't be surprised if it's a bit rough around the edges :)