Collective Knowledge Aggregator beta
Home Collaborative AI Interactive articles Graphs Programs Datasets Models Browse Get CK About
Join the community development of an open science SDK (CK) to automate, crowdsource and optimize machine learning and AI across diverse devices from IoT to supercomputers!

Files:
doc.bib    (1KB)
doc.pdf    (64KB)

Cross-linking (dependencies):

Meta:
{
  "authors": [
    {
      "name": "0728a400aa1c86fe"
    }, 
    {
      "name": "9ed8ac14830b7849"
    }, 
    {
      "name": "4f66018a4b4423a6"
    }, 
    {
      "name": "63f10a6934be7b65"
    }
  ], 
  "bib_ref": "cm:29db2248aba45e59:72986f50f464ba31", 
  "document_urls": [
    "http://dl.acm.org/citation.cfm?id=2185475"
  ], 
  "local_bib": "doc.bib", 
  "local_doc": "doc.pdf", 
  "place": "", 
  "publish_iso_date": "2012-04-01", 
  "title": "Introducing 2nd International Workshop on Adaptive Self-Tuning Computing Systems for the Exaflop Era (EXADAPT)", 
  "type": {
    "name": "introduction", 
    "peer_reviewed": "no", 
    "scope": "international"
  }, 
  "when": "2012", 
  "where": "ACM Digital Library"
}

API desc:
{}

If you notice copyrighted, inappropriate or illegal content that should not be here, please report us as soon as possible and we will try to remove it within 48hours!

Developed by dividiti,
cTuning foundation,
and the community
          
Implemented as a CK workflow
                     
   
   
                      Hosted at