{ "backup_data_uid": "5606c08138624a1f", "backup_module_uid": "29db2248aba45e59", "backup_module_uoa": "dissemination.publication", "cm_outdated": { "cm_access_control": { "comments_groups": "registered", "read_groups": "all", "write_groups": "owner" }, "powered_by": { "name": "Collective Mind Engine", "version": "1.0.1977.beta" } }, "control": { "author_uoa": "0728a400aa1c86fe", "engine": "CM", "iso_datetime": "2012-10-25T18:18:53.514000", "version": [] }, "data_name": "Crowdtuning : Towards Practical and Reproducible Auto-tuning via Crowdsourcing and Predictive Analytics", "description": "PhD thesis at the University of Paris-Saclay (France) advised by Grigori Fursin (cTuning foundation and dividiti)" }