{ "affiliations": { "1": { "name": "dividiti, UK" }, "2": { "name": "cTuning foundation, France" }, "3": { "name": "Xored, Russia" }, "4": { "name": "Raspberry Pi foundation, UK" }, "5": { "name": "Broadcom, UK" } }, "authors": [ { "affiliation": "1,2", "name": "0728a400aa1c86fe", "url": "http://fursin.net/research" }, { "affiliation": "1", "name": "07b8b4bd98945c99", "url": "https://www.hipeac.net/~anton" }, { "affiliation": "3", "name": "6c6ff17a438a99ad", "url": "https://www.linkedin.com/in/dsavenko" }, { "affiliation": "4,5", "name": "01978ecd84efaa57", "url": "https://en.wikipedia.org/wiki/Eben_Upton" } ], "bib_ref": "cm:29db2248aba45e59:c4b24bff57f4ad07", "cor_author_email": "grigori.fursin@cTuning.org", "document_urls": [ "https://arxiv.org/pdf/1801.08024.pdf" ], "live": "no", "local_bib": "doc.bib", "place": "", "publish_iso_date": "2018-01-25", "tags": [ "open science", "portable workflows", "autotuning", "machine learning", "reproducible research", "customizable workflows", "raspberry pi", "reusable artifacts", "collaborative experimentation", "crowd-tuning", "crowd-learning" ], "title": "A Collective Knowledge workflow for collaborative research into multi-objective autotuning and machine learning techniques", "type": { "name": "tech_report", "peer_reviewed": "no", "scope": "international" }, "urls": [ { "title": "arXiv", "url": "http://arxiv.org/abs/1801.08024" }, { "title": "Interactive CK report", "url": "http://cKnowledge.org/rpi-crowd-tuning" }, { "title": "GitHub repository", "url": "https://github.com/ctuning/ck-rpi-optimization-results" }, { "title": "FigShare CK archives", "url": "https://doi.org/10.6084/m9.figshare.5789007.v2" }, { "title": "Live CK repository with latest crowd-tuning results", "url": "http://cKnowledge.org/repo" } ], "when": "January 2018", "where": "arXiv tech.report 1801.08024", "where_url": "" }
{}