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Public results in the Collective Knowledge Format (JSON meta data) from collaborative optimization of computer systems. See live repository:
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README.md

README.md

logo logo License: CC BY 4.0

This repository contains public results from experiment crowdsourcing such as collaborative optimization of computer systems using Collective Knowledge Framework across diverse hardware provided by volunteers.

This is a snapshop of results continuously aggregated in the public CK repository of knowledge.

Contributors

Prerequisites

Publications

@inproceedings{cm:29db2248aba45e59:cd11e3a188574d80,
    title = {{Collective Mind, Part II}: Towards Performance- and Cost-Aware Software Engineering as a Natural Science},
    author = {Fursin, Grigori and Memon, Abdul and Guillon, Christophe and Lokhmotov, Anton},
    booktitle = {18th International Workshop on Compilers for Parallel Computing (CPC'15)},
    year = {2015},
    url = {https://arxiv.org/abs/1506.06256},
    month = {January}
}
@inproceedings{ck-date16,
    title = {{Collective Knowledge}: towards {R\&D} sustainability},
    author = {Fursin, Grigori and Lokhmotov, Anton and Plowman, Ed},
    booktitle = {Proceedings of the Conference on Design, Automation and Test in Europe (DATE'16)},
    year = {2016},
    month = {March},
    url = {https://www.researchgate.net/publication/304010295_Collective_Knowledge_Towards_RD_Sustainability}
}

The concepts have been described in the following publications:

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