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!

doc.bib    (1KB)
doc.pdf    (78KB)

Cross-linking (dependencies):

  "authors": [
      "name": "0728a400aa1c86fe"
  "bib_ref": "cm:29db2248aba45e59:241959a66d0e6895", 
  "document_urls": [
  "local_bib": "doc.bib", 
  "local_doc": "doc.pdf", 
  "pages": "1401-1402", 
  "place": "Salt Lake City, Utah,USA", 
  "publish_iso_date": "2012-11-01", 
  "reproducible": "yes", 
  "title": " Novel Extensible Methodology, Framework and Public Repository to Collaboratively Address Exascale Challenges", 
  "type": {
    "name": "extended_abstract", 
    "peer_reviewed": "yes", 
    "scope": "international"
  "when": "November 2012", 
  "where": "Extended abstract at SuperComputing Companion (SC)"

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