https://github.com/llnl/chai

Copy-hiding array abstraction to automatically migrate data between memory spaces
https://github.com/llnl/chai

blt cpp data-abstraction gpu memory-management portability radiuss raja

Last synced: about 1 month ago
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Copy-hiding array abstraction to automatically migrate data between memory spaces

• Host: GitHub
• URL: https://github.com/llnl/chai
• Owner: LLNL
• License: bsd-3-clause
• Created: 2017-07-25T20:29:59.000Z (almost 8 years ago)
• Default Branch: develop
• Last Pushed: 2025-03-27T17:04:56.000Z (about 2 months ago)
• Last Synced: 2025-03-27T18:22:56.056Z (about 2 months ago)
• Topics: blt, cpp, data-abstraction, gpu, memory-management, portability, radiuss, raja
• Language: C++
• Size: 1.61 MB
• Stars: 107
• Watchers: 14
• Forks: 23
• Open Issues: 34
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md

Awesome Lists containing this project

README

        
[comment]: # (#################################################################)

[comment]: # (Copyright 2016-25, Lawrence Livermore National Security, LLC)

[comment]: # (and CHAI project contributors. See the CHAI LICENSE file for)

[comment]: # (details.)

[comment]: # 

[comment]: # (# SPDX-License-Identifier: BSD-3-Clause)

[comment]: # (#################################################################)

# CHAI v2025.03.0

[![Azure Build Status](https://dev.azure.com/davidbeckingsale/CHAI/_apis/build/status/LLNL.CHAI?branchName=develop)](https://dev.azure.com/davidbeckingsale/CHAI/_build/latest?definitionId=2&branchName=develop)

[![Build Status](https://travis-ci.org/LLNL/CHAI.svg?branch=develop)](https://travis-ci.org/LLNL/CHAI)

[![Documentation Status](https://readthedocs.org/projects/chai/badge/?version=develop)](https://chai.readthedocs.io/en/develop/?badge=develop)

CHAI is a library that handles automatic data migration to different memory

spaces behind an array-style interface. It was designed to work with

[RAJA](https://github.com/LLNL/RAJA) and integrates with it. CHAI could be

used with other C++ abstractions, as well.

CHAI uses CMake and BLT to handle builds. Make sure that you have a modern

compiler loaded and the configuration is as simple as:

    $ git submodule update --init --recursive

    $ mkdir build && cd build

    $ cmake -DCUDA_TOOLKIT_ROOT_DIR=/path/to/cuda ../

CMake will provide output about which compiler is being used, and what version

of CUDA was detected. Once CMake has completed, CHAI can be built with Make:

    $ make

For more advanced configuration you can use standard CMake variables.

More information is available in the [CHAI documentation](https://chai.readthedocs.io/en/develop/).

## Authors

The original developers of CHAI are:

- Holger Jones ([email protected])

- David Poliakoff ([email protected])

- Peter Robinson ([email protected])

Contributors include:

- David Beckingsale ([email protected])

- Riyaz Haque ([email protected])

- Adam Kunen ([email protected])

## Release

Copyright (c) 2016, Lawrence Livermore National Security, LLC.

Produced at the Lawrence Livermore National Laboratory

All rights reserved.

Unlimited Open Source - BSD Distribution

For release details and restrictions, please read the LICENSE file.

It is also linked here: [LICENSE](./LICENSE)

- `LLNL-CODE-705877`

- `OCEC-16-189`