{
  "affiliations": {
    "1": {
      "name": "cTuning Foundation, France"
    }, 
    "10": {
      "name": "Google Inc., Toronto, Canada"
    }, 
    "11": {
      "name": "National Center for Atmospheric Research, Boulder, CO, USA"
    }, 
    "2": {
      "name": "INRIA, France"
    }, 
    "3": {
      "name": "University of Paris-Sud, France"
    }, 
    "4": {
      "name": "University of Rennes 1, France"
    }, 
    "5": {
      "name": "ICHEC, Dublin, Ireland"
    }, 
    "6": {
      "name": "ARM, UK"
    }, 
    "7": {
      "name": "Technical University of Munich, Germany"
    }, 
    "8": {
      "name": "University of Oregon, Eugene, OR, USA"
    }, 
    "9": {
      "name": "Infrasoft IT Solutions, Plock, Poland"
    }
  }, 
  "authors": [
    {
      "affiliation": "1,2,3", 
      "name": "0728a400aa1c86fe", 
      "url": "http://fursin.net/research"
    }, 
    {
      "affiliation": "4,5", 
      "name": "1b48ab821279f5a2"
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    {
      "affiliation": "6", 
      "name": "07b8b4bd98945c99"
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      "name": "34e3c174dc9b62a0"
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    {
      "affiliation": "3", 
      "name": "b6e1d639bbd44fe9"
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      "name": "973d79be46c24a5c"
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    {
      "affiliation": "11", 
      "name": "3fb654f7ab9ec55b"
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  ], 
  "bib_ref": "cm:29db2248aba45e59:6f40bc99c4f7df58", 
  "cor_author_email": "Grigori.Fursin@cTuning.org", 
  "document_urls": [
    "http://hal.inria.fr/hal-01054763", 
    "http://iospress.metapress.com/content/f255p63828m8l384"
  ], 
  "live": "yes", 
  "tags":["ck-paper","reproducibility","artifacts"],
  "local_bib": "doc.bib", 
  "local_doc": "doc.pdf", 
  "notes": [
    {
      "italic": "yes", 
      "note": "This work summarizes our long-term vision on making autotuning practical and reproducible using public repository of knowledge, common plugin-based autotuning infrastructure, predictive analytics (machine learning, data mining, statistical analysis, feature detection), crowdsourcing and collective intelligence"
    }, 
    {
      "bold": "yes", 
      "italic": "yes", 
      "note": "This work extends previous article [$#cm_29db2248aba45e59_0c44d9a2db3de3c9#$]"
    }, 
    {
      "italic": "yes", 
      "note": "Related Collective Mind infrastructure and repository [$#cm_d76ac3bb9a3f744c_bd5c924415bae775#$]"
    }, 
    {
      "bold": "yes", 
      "italic": "yes", 
      "note": "This work supports our initiative on open research and publication model where all experimental results and related material is continuously shared, validated and improved by the community [$#cm_29db2248aba45e59_40a4b58adfb594a8#$]. To set up an example, we continue sharing all benchmarks, datasets, tools, models and experimental results in Collective Mind repository (c-mind.org/repo) and in a new version: Collective Knowledge Repository (cknowledge.org/repo) "
    }
  ], 
  "place": "Edinburgh, UK", 
  "publish_iso_date": "2014-08-03", 
  "template": "live.html", 
  "title": "Collective Mind: towards practical and collaborative autotuning", 
  "type": {
    "name": "journal", 
    "peer_reviewed": "yes", 
    "scope": "international"
  }, 
  "when": "August 2014", 
  "where": "Special issue on Automatic Performance Tuning for HPC Architectures, Scientific Programming Journal, IOS Press",
  "urls": [
    {
      "title": "CK-powered interactive article with all shared artifacts for reproducibility at cknowledge.org/repo",
      "url":"http://cknowledge.org/repo/web.php?wcid=29db2248aba45e59:6f40bc99c4f7df58"
    } 
  ]
}