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Files:
doc.bib    (1KB)
slides.pdf    (519KB)

Cross-linking (dependencies):

Meta:
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    "1": {
      "name": "dividiti, UK"
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      "name": "cTuning foundation, France"
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      "name": "07b8b4bd98945c99", 
      "url": "https://www.hipeac.net/~anton"
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  "bib_ref": "cm:29db2248aba45e59:f56e27e54038b400", 
  "cor_author_email": "anton@dividiti.com", 
  "document_urls": [
    "http://dx.doi.org/10.1145/2909437.2909449"
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      "italic": "yes", 
      "note": "Related Collective Knowledge infrastructure and repository (CK) [$#cm_d76ac3bb9a3f744c_77fc1a8944a8ba51#$]"
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  ], 
  "place": "Vienna, Austria", 
  "publish_iso_date": "2016-04-21", 
  "tags": [
    "cnn", 
    "dnn", 
    "opencl", 
    "crowd-tuning", 
    "crowd-benchmarking", 
    "mobile devices"
  ], 
  "title": "Nearly Everything You Need to Know About Optimizing Convolutional Neural Networks on Embedded Platforms with OpenCL", 
  "type": {
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    "peer_reviewed": "yes", 
    "scope": "international"
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      "title": "Slides", 
      "url": "http://www.iwocl.org/wp-content/uploads/iwocl-2016-cnn-with-opencl.pdf"
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    {
      "title": "Collective Knowledge Live demo repository", 
      "url": "http://cknowledge.org/repo"
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    {
      "title": "Collective Knowledge Framework", 
      "url": "http://github.com/ctuning/ck"
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    {
      "title": "Android app for CK for collaborative program optimization and machine learning using mobile devices", 
      "url": "https://play.google.com/store/apps/details?id=openscience.crowdsource.experiments"
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    {
      "title": "Community-driven gemmbench (OpenCL)", 
      "url": "http://github.com/dividiti/gemmbench"
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  "when": "April 2016", 
  "where": "International Workshop on OpenCL (IWOCL)", 
  "where_url": "http://www.iwocl.org/conf-2016"
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API desc:
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