{
  "authors": [
    {
      "name": "0728a400aa1c86fe"
    }
  ], 
  "bib_ref": "cm:29db2248aba45e59:1943b3f46fabaee4", 
  "document_urls": [
    "http://arxiv.org/abs/1308.2410", 
    "http://hal.inria.fr/hal-00850880"
  ], 
  "local_bib": "doc.bib", 
  "local_doc": "doc.pdf", 
  "notes": [
    {
      "bold": "yes", 
      "italic": "yes", 
      "note": "Extended journal version: [$#cm_29db2248aba45e59_6f40bc99c4f7df58#$]"
    }, 
    {
      "italic": "yes", 
      "note": "This work summarizes my long-term vision on collaborative, systematic and reproducible benchmarking, optimization and co-design of computer systems across all software and hardware layers using public Collective Mind repository of knowledge, common plugin-based autotuning framework, big data, predictive analytics (machine learning, data mining, statistical analysis, feature detection), crowdsourcing and collective intelligence"
    }, 
    {
      "bold": "yes", 
      "italic": "yes", 
      "note": "This work extends my previous article [$#cm_29db2248aba45e59_0c44d9a2db3de3c9#$]"
    }, 
    {
      "italic": "yes", 
      "note": "Should be publicly available at some point in autumn, 2014"
    }, 
    {
      "italic": "yes", 
      "note": "Related Collective Mind infrastructure and repository [$#cm_d76ac3bb9a3f744c_bd5c924415bae775#$]"
    }, 
    {
      "bold": "yes", 
      "italic": "yes", 
      "note": "This work supports my 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, I continue sharing all benchmarks, datasets, tools, models and experimental results in Collective Mind repository (c-mind.org/repo)"
    }
  ], 
  "place": "France", 
  "publish_iso_date": "2013-06-01", 
  "reproducible": "yes", 
  "title": "Collective Mind: cleaning up the research and experimentation mess in computer engineering using crowdsourcing, big data and machine learning", 
  "type": {
    "name": "tech_report", 
    "peer_reviewed": "no", 
    "scope": "international"
  }, 
  "when": "2013", 
  "where": "INRIA technical report HAL-00850880"
}

{}