Check a prototype of 2nd version of this platform
being developed by cKnowledge.org in collaboration with
MLCommons.
package:tool-cere-trunk (v1.0.0)
Please report if this CK component works: 1 ▲
or fails: 0 ▲
Sign up to be notified when artifacts are shared or updated!
This meta package is our attempt to provide a unified Python API, CLI
and JSON meta description
for different package managers and building tools
to automatically download and install different components (models, data sets, libraries, frameworks, tools)
necessary to run portable program pipelines
across evolving platforms.
Our on-going project is to make the onboarding process as simple as possible via this platform.
Please check this CK white paper
and don't hesitate to contact us if you have suggestions or feedback!
If you notice any inapropriate content that should not be here, please report us as soon as possible and we will try to remove it within 48 hours!
License: BSD 3-clause (code) and CC BY-SA 4.0 (data)
Creation date: 2016-06-29
Source: GitHub
cID: 1dc07ee0f4742028:5664608bd6d5231e
Don't hesitate to get in touch if you encounter any issues or would like to discuss this community project!
Creation date: 2016-06-29
Source: GitHub
cID: 1dc07ee0f4742028:5664608bd6d5231e
Description
- Automation framework: CK
- Development repository: reproduce-milepost-project
- Source: GitHub
- Tags: tool,cere,vtrunk
- Support for host OS: linux, windows
- Support for target OS: linux, windows
- Version: trunk
- Software detection plugin: tool.cere
- How to get the stable version from this portal via the CK client:
pip install cbench
cb download package:tool-cere-trunk --version=1.0.0 --all
ck install package:tool-cere-trunk
ck help package
- How to get the development version:
pip install ck
ck pull repo:reproduce-milepost-project
ck install package:tool-cere-trunk
ck help package
- Useful CK automation actions (CLI with the Python CK API and JSON IO):
ck show env
ck find env:{ID from above}
ck virtual env:{ID from above}
- CLI and Python API: module:package
- Useful CK automation actions (CLI with the Python CK API and JSON IO):
ReadMe
Not finished yet - need to add correct dependencies and add to CK crowd-tuning and autotuning workflow.
https://github.com/benchmark-subsetting/cere
Improved/updated version of codelet extractor - we used our own or similar tool from CAPS Entreprise (see ck find soft:tool.codelet-finder)) for our MILEPOST (2006-2009), Collective Mind (2011-2013) and Collective Knowledge (2014-cur) projects to extract and autotune codelets for quick training of a machine-learning based compiler:
- http://cknowledge.org/repo
- http://arxiv.org/abs/1506.06256
- https://hal.inria.fr/hal-01054763
- https://www.researchgate.net/publication/225732776_Milepost_GCC_Machine_Learning_Enabled_Self-tuning_Compiler
However, at the moment we prefer to extract codelets manually with human-readable data sets and code!
Files
- .cm/desc.json (3 bytes)
- .cm/info.json (550 bytes)
- .cm/meta.json (515 bytes)
- README.md (804 bytes)
- process.bat (89 bytes)
- process.sh (472 bytes)