mallocmc
mallocMC: Memory Allocator for Many Core Architectures :pager:
Science Score: 49.0%
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Found 6 DOI reference(s) in README -
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○Scientific vocabulary similarity
Low similarity (15.9%) to scientific vocabulary
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Repository
mallocMC: Memory Allocator for Many Core Architectures :pager:
Basic Info
Statistics
- Stars: 58
- Watchers: 10
- Forks: 16
- Open Issues: 35
- Releases: 11
Metadata Files
README.md
mallocMC
mallocMC: Memory Allocator for Many Core Architectures
This project provides a framework for fast memory managers on many core accelerators. It is based on alpaka to run on many different accelerators and comes with multiple allocation algorithms out-of-the-box. Custom ones can be added easily due to the policy-based design.
Usage
Follow the step-by-step instructions in Usage.md to replace your
new/malloc calls with a blacingly fast mallocMC heap! :rocket:
Install
mallocMC is header-only, but requires a few other C++ libraries to be available. Our installation notes can be found in INSTALL.md.
Contributing
Rules for contributions are found in CONTRIBUTING.md.
On the Algorithms
This library was originally inspired by the ScatterAlloc algorithm, forked from the ScatterAlloc project, developed by the Managed Volume Processing group at Institute for Computer Graphics and Vision, TU Graz (kudos!). The currently shipped algorithms are using similar ideas but differ from the original one significantly.
From the original project page (which is no longer existent to the best of our knowledge):
```quote ScatterAlloc is a dynamic memory allocator for the GPU. It is designed concerning the requirements of massively parallel execution.
ScatterAlloc greatly reduces collisions and congestion by scattering memory requests based on hashing. It can deal with thousands of GPU-threads concurrently allocating memory and its execution time is almost independent of the thread count.
ScatterAlloc is open source and easy to use in your CUDA projects. ```
Our Homepage: https://www.hzdr.de/crp
Versions and Releases
Official releases can be found in the
Github releases.
We try to stick to semantic versioning but we'll bump
the major version number for major features.
Development happens on the dev branch.
Changes there have passed the CI and a code review but we make no guarantees
about API or feature stability in this branch.
Literature
Just an incomplete link collection for now:
Paper by Markus Steinberger, Michael Kenzel, Bernhard Kainz and Dieter Schmalstieg
2012, May 5th: Presentation at Innovative Parallel Computing 2012 by Bernhard Kainz
Junior Thesis
by
Carlchristian Eckert (2014)
License
We distribute the modified software under the same license as the original software from TU Graz (by using the MIT License). Please refer to the LICENSE file.
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
- Issues event: 5
- Watch event: 8
- Issue comment event: 10
- Push event: 24
- Pull request review comment event: 19
- Pull request review event: 39
- Pull request event: 48
- Fork event: 1
Last Year
- Issues event: 5
- Watch event: 8
- Issue comment event: 10
- Push event: 24
- Pull request review comment event: 19
- Pull request review event: 39
- Pull request event: 48
- Fork event: 1
Committers
Last synced: 9 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Carlchristian Eckert | c****t@h****e | 103 |
| Julian Lenz | j****z@h****e | 89 |
| René Widera | r****a@h****e | 63 |
| Axel Huebl | a****l@w****e | 39 |
| Bernhard Manfred Gruber | b****r@g****m | 28 |
| Third Party | m****C@h****e | 15 |
| Carlchristian Eckert | C****t@g****e | 7 |
| Sergei Bastrakov | s****v@g****m | 6 |
| Benjamin Worpitz | b****z@g****m | 4 |
| Alexander Grund | a****d@h****e | 2 |
| Third Party | m****C@h****e | 2 |
| Flamefire | g****t@g****e | 1 |
| Tapish Narwal | 1****i | 1 |
| Tools | p****u@h****e | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 7 months ago
All Time
- Total issues: 35
- Total pull requests: 136
- Average time to close issues: about 2 years
- Average time to close pull requests: 14 days
- Total issue authors: 9
- Total pull request authors: 7
- Average comments per issue: 1.6
- Average comments per pull request: 0.99
- Merged pull requests: 123
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 2
- Pull requests: 47
- Average time to close issues: N/A
- Average time to close pull requests: 5 days
- Issue authors: 1
- Pull request authors: 2
- Average comments per issue: 0.5
- Average comments per pull request: 0.28
- Merged pull requests: 43
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- psychocoderHPC (8)
- chillenzer (8)
- ax3l (6)
- sbastrakov (5)
- slizzered (3)
- saipavankalyan (1)
- Flamefire (1)
- ivandrodri (1)
- bernhardmgruber (1)
Pull Request Authors
- chillenzer (71)
- psychocoderHPC (57)
- bernhardmgruber (11)
- sbastrakov (7)
- ax3l (5)
- ikbuibui (2)
- matthias-springer (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 *