https://github.com/alpaka-group/cupla
C++ User interface for the Platform independent Library Alpaka :arrows_clockwise:
Science Score: 36.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
-
○Academic publication links
-
✓Committers with academic emails
4 of 13 committers (30.8%) from academic institutions -
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (13.0%) to scientific vocabulary
Keywords from Contributors
Repository
C++ User interface for the Platform independent Library Alpaka :arrows_clockwise:
Basic Info
Statistics
- Stars: 39
- Watchers: 10
- Forks: 18
- Open Issues: 19
- Releases: 5
Metadata Files
README.md
cupla - C++ User interface for the Platform Independent Library alpaka

cupla [qχɑpˈlɑʔ] is a simple user interface for the platform independent parallel kernel acceleration library alpaka. It follows a similar concept as the NVIDIA® CUDA® API by providing a software layer to manage accelerator devices. alpaka is used as backend for cupla.
Please keep in mind that a first, "find & replace" port from CUDA to cupla(x86) will result in rather bad performance. In order to reach decent performance on x86 systems you just need to add the alpaka element level to your kernels.
(Read as: add some tiling to your CUDA kernels by letting the same thread compute a fixed number of elements (N=4..16) instead of just computing one element per thread. Also, make the number of elements in your tiling a compile-time constant and your CUDA code (N=1) will just stay with the very same performance while adding single-source performance portability for, e.g., x86 targets).
Software License
cupla is licensed under LGPLv3 or later.
For more information see LICENSE.md.
Dependencies
- cmake 3.22.0 or higher (depends on the used alpaka version)
- alpaka 1.0.0 or newer
- alpaka is loaded as
git subtreewithin cupla, see INSTALL.md
- alpaka is loaded as
Usage
- See our notes in INSTALL.md.
- Checkout the guide how to port your project.
- Checkout the tuning guide for a step further to performance portable code.
- Checkout the interoperability guide to learn more on how to use cupla with software developed with an alpaka compatible interface.
cupla can be used as a header-only library and without the CMake build system
Contributing
Any pull request will be reviewed by a maintainer.
Thanks to all active and former contributors.
Trademarks Disclaimer
All product names and trademarks are the property of their respective owners. CUDA® is a trademark of the NVIDIA Corporation.
Owner
- Name: alpaka
- Login: alpaka-group
- Kind: organization
- Location: Dresden, Germany
- Website: http://www.hzdr.de/crp
- Repositories: 9
- Profile: https://github.com/alpaka-group
Abstraction Library for Parallel Kernel Acceleration
GitHub Events
Total
- Watch event: 1
Last Year
- Watch event: 1
Committers
Last synced: over 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| René Widera | r****a@h****e | 164 |
| Third Party | c****a@h****e | 23 |
| Axel Huebl | a****l@p****a | 13 |
| Simeon Ehrig | s****g@h****e | 12 |
| mxmlnkn | m****n@g****e | 11 |
| Sergei Bastrakov | s****v@g****m | 8 |
| Vincent Ridder | v****r@m****e | 5 |
| Ridder | r****0@h****e | 5 |
| Matthias Werner | m****1@t****e | 5 |
| Matthias Werner | M****1@t****e | 5 |
| Andrea Bocci | a****i@c****h | 4 |
| Hauke Mewes | h****s@g****m | 3 |
| Jeffrey Kelling | j****g@h****e | 2 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 12 months ago
All Time
- Total issues: 13
- Total pull requests: 92
- Average time to close issues: 5 months
- Average time to close pull requests: 13 days
- Total issue authors: 9
- Total pull request authors: 6
- Average comments per issue: 2.77
- Average comments per pull request: 1.16
- Merged pull requests: 85
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 1
- Average time to close issues: N/A
- Average time to close pull requests: about 2 months
- Issue authors: 0
- Pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 1.0
- Merged pull requests: 1
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- SimeonEhrig (3)
- fwyzard (2)
- ivandrodri (2)
- psychocoderHPC (1)
- vvolkl (1)
- frobnitzem (1)
- sbastrakov (1)
- mxmlnkn (1)
- jyoung3131 (1)
Pull Request Authors
- psychocoderHPC (74)
- SimeonEhrig (11)
- tdd11235813 (4)
- sbastrakov (3)
- jkelling (2)
- fwyzard (1)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- Jinja2 <3.0
- breathe ==4.16.0
- markupsafe <2.0.0
- pygments *
- rst2pdf *
- sphinx ==3.0.3
- sphinx_rtd_theme >=0.3.1
- sphinxcontrib.programoutput *
- allpairspy ==2.5.0
- alpaka-job-coverage >=1.2.1
- pyaml *
- typeguard *
- types-PyYAML *