{ "authors": [ { "name": "0728a400aa1c86fe" } ], "bib_ref": "cm:29db2248aba45e59:cd75d4dd0a5957aa", "cm_access_control": { "comments_groups": "registered", "read_groups": "all", "write_groups": "owner" }, "cm_display_as_alias": "Extended abstract - Crowdsourcing autotuning: challenges and possible solutions", "cm_updated": [ { "cm_iso_datetime": "2014-02-02T15:56:04.547000", "cm_module_uid": "29db2248aba45e59", "cm_person_uoa": "0728a400aa1c86fe", "cm_user_uoa": "0728a400aa1c86fe" } ], "powered_by": { "name": "Collective Mind Engine", "version": "1.0.3121.beta" }, "document_urls": [ "http://dx.doi.org/10.4230/DagRep.3.9.214" ], "local_bib": "doc.bib", "local_doc": "doc.pdf", "place": "Dagstuhl, Germany", "publish_iso_date": "2014-01-17", "title": "Crowdsourcing autotuning: challenges and possible solutions", "type": { "name": "extended_abstract", "peer_reviewed": "yes", "scope": "international" }, "when": "January 2014", "where": "Extended abstract at Dagstuhl Seminar 13401" }