LLNL/CHAI

Name: CHAI

Owner: Lawrence Livermore National Laboratory

Description: Copy-hiding array abstraction to automatically migrate data between memory spaces

Created: 2017-07-25 20:29:59.0

Updated: 2018-04-01 18:02:22.0

Pushed: 2018-03-27 22:43:43.0

Homepage: null

Size: 209

Language: C++

GitHub Committers

User	Most Recent Commit	# Commits

Other Committers

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README

CHAI v1.0

CHAI is a libary handling automatic data migration to different memory spaces behind an array-style interface.

CHAI uses CMake and BLT to handle builds. Make sure that you have a modern compiler loaded and the configuration is as simple as:

$ 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.

Authors

The original developers of CHAI are:

• Holger Jones (jones19@llnl.gov)
• David Poliakoff (poliakoff1@llnl.gov)
• Peter Robinson (robinson96@llnl.gov)

Contributors include:

• David Beckingsale (david@llnl.gov)
• Riyaz Haque (haque1@llnl.gov)
• Adam Kunen (kunen1@llnl.gov)

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

• LLNL-CODE-705877
• OCEC-16-189