eprintid: 11216 rev_number: 11 eprint_status: archive userid: 12102 dir: disk0/00/01/12/16 datestamp: 2016-02-17 17:07:11 lastmod: 2021-03-18 18:30:13 status_changed: 2016-02-17 17:07:11 type: book_section metadata_visibility: show creators_name: Di Nuovo, Alessandro creators_name: Palesi, Maurizio creators_name: Patti, Davide creators_name: Ascia, Giuseppe creators_name: Catania, Vincenzo creators_id: a.dinuovo@shu.ac.uk creators_affiliation: Sheffield Hallam University creators_orcid: 0000-0003-2677-2650 title: Fuzzy decision making in embedded system design ispublished: pub abstract: The use of Application Specific Instruction-set Processors (ASIP) is a solution to the problem of increasing complexity in embedded systems design. One of the major challenges in ASIP design is Design Space Exploration (DSE), because of the heterogeneity of the objectives and parameters involved. Typically DSE is a multi- objective search problem, where performance, power, area, etc. are the different optimization criteria. The output of a DSE strategy is a set of candidate design solutions called a Pareto-optimal set. Choosing a solution for system implementation from the Pareto- optimal set can be a difficult task, generally because Pareto-optimal sets can be extremely large or even contain an infinite number of solutions. In this paper we propose a methodology to assist the decision-maker in analysis of the solutions to multi-objective problems. By means of fuzzy clustering techniques, it finds the reduced Pareto subset, which best represents all the Pareto solutions. This optimal subset will be used for further and more accurate (but slower) analysis. As a real application example we address the optimization of area, performance, and power of a VLIW-based embedded system. date: 2006 date_type: published publisher: IEEE id_number: 10.1145/1176254.1176309 collections: research creators_browse_id: 12102 creators_browse_name: DI NUOVO, Alessandro , PALESI, Maurizio, PATTI, Davide, ASCIA, Giuseppe and CATANIA, Vincenzo internal_creators_name: Di Nuovo, Alessandro internal_creators_id: a.dinuovo@shu.ac.uk internal_creators_affiliation: Sheffield Hallam University departments: dep_comp full_text_status: none pres_type: paper pagerange: 223-228 event_title: Proceedings of the 4th international conference on Hardware/software codesign and system synthesis event_type: conference refereed: TRUE isbn: 1595933700 book_title: Hardware/Software Codesign and System Synthesis, 2006. CODES+ISSS '06. Proceedings of the 4th International Conference coversheets_dirty: FALSE item_issues2_id: duplicate_title_13614 item_issues2_type: duplicate_title item_issues2_description: Duplicate Title to Fuzzy decision making in embedded system design
User Workarea, Alessandro Di Nuovo - [ Manage ] [ Compare & Merge ] [ Acknowledge ] item_issues2_timestamp: 2017-09-28 14:41:13 item_issues2_status: discovered dates_date: 2006 dates_date_type: published hoa_date_pub: 2006 hoa_exclude: FALSE citation: DI NUOVO, Alessandro , PALESI, Maurizio, PATTI, Davide, ASCIA, Giuseppe and CATANIA, Vincenzo (2006). Fuzzy decision making in embedded system design. In: Hardware/Software Codesign and System Synthesis, 2006. CODES+ISSS '06. Proceedings of the 4th International Conference. IEEE, 223-228. [Book Section]