{ "affiliations": { "1": { "name": "dividiti, UK" }, "2": { "name": "Xored, Russia" }, "3": { "name": "cTuning foundation, France" } }, "authors": [ { "affiliation": "1", "name": "07b8b4bd98945c99", "url": "https://www.hipeac.net/~anton" }, { "affiliation": "2,1", "name": "a1bd404f8b2d0966" }, { "affiliation": "1", "name": "a3ed754096bb8d9b" }, { "affiliation": "1,3", "name": "0728a400aa1c86fe", "url": "http://fursin.net/research" } ], "bib_ref": "cm:29db2248aba45e59:e5e4b41c77440a9a", "document_urls": [ "https://dl.acm.org/citation.cfm?id=3229767" ], "live": "no", "local_bib": "doc.bib", "place": "", "publish_iso_date": "2018-06-22", "title": "Multi-objective autotuning of MobileNets across the full software/hardware stack", "type": { "name": "tech_report", "peer_reviewed": "no", "scope": "international" }, "urls": [ { "title": "ACM DL (DOI)", "url": "https://doi.org/10.1145/3229762.3229767" } ], "when": "June 2018", "where": "Proceedings of the 1st on Reproducible Quality-Efficient Systems Tournament on Co-designing Pareto-efficient Deep Learning (ReQuEST-ASPLOS'18)", "where_url": "" }
{}