{
  "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", 
  "title": "A Collective Knowledge workflow for collaborative research into multi-objective autotuning and machine learning techniques", 
  "tags":["open science", "portable workflows", "autotuning", "machine learning", "reproducible research", "customizable workflows", "raspberry pi", "reusable artifacts", "collaborative experimentation", "crowd-tuning", "crowd-learning"],
  "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":""
}