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Published December 20, 2018 | Version 1.0
Software Open

CK workflow and reproducible article: "A Collective Knowledge workflow for collaborative research into multi-objective autotuning and machine learning techniques"

  • 1. cTuning foundation and dividiti
  • 2. dividiti
  • 3. Xored
  • 4. Raspberry Pi Foundation

Description

This repository contains a snapshot of a Collective Knowledge workflow with a reproducible article for collaborative research into multi-objective autotuning and machine learning techniques. It supports our long-term community initiative to improve reproducibility of experimental results from published papers, automate artifact evaluation, and help the community share code, data and workflows as reusable components! 

You can find more details about our approach in this reproducible and interactive article automatically generated by this CK workflow: http://cKnowledge.org/rpi-crowd-tuning . Shared results from crowd-tuning across diverse devices provided by volunteers are available in a reproducible form in this repository: http://cknowledge.org/repo-beta .

 

Files

ck-repository-rpi-optimization-results-20181220.zip

Files (389.9 MB)

Additional details

Related works

Is supplement to
https://arxiv.org/abs/1801.08024 (URL)

References

  • Fursin, Grigori (2018). "A Collective Knowledge workflow for collaborative research into multi-objective autotuning and machine learning techniques", arXiv:1801.08024