{"id":"https://openalex.org/W2399859114","doi":"https://doi.org/10.1145/2897937.2898039","title":"Leveraging FDSOI through body bias domain partitioning and bias search","display_name":"Leveraging FDSOI through body bias domain partitioning and bias search","publication_year":2016,"publication_date":"2016-05-25","ids":{"openalex":"https://openalex.org/W2399859114","doi":"https://doi.org/10.1145/2897937.2898039","mag":"2399859114"},"language":"en","primary_location":{"id":"doi:10.1145/2897937.2898039","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2897937.2898039","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 53rd Annual Design Automation Conference","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044024704","display_name":"Johannes Maximilian K\u00fchn","orcid":null},"institutions":[{"id":"https://openalex.org/I8087733","display_name":"University of T\u00fcbingen","ror":"https://ror.org/03a1kwz48","country_code":"DE","type":"education","lineage":["https://openalex.org/I8087733"]},{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["DE","JP"],"is_corresponding":true,"raw_author_name":"Johannes Maximilian K\u00fchn","raw_affiliation_strings":["Eberhard Karls Universit\u00e4t T\u00fcbingen, T\u00fcbingen, Germany and Keio University, Kohoku-ku, Yokohama, Japan"],"affiliations":[{"raw_affiliation_string":"Eberhard Karls Universit\u00e4t T\u00fcbingen, T\u00fcbingen, Germany and Keio University, Kohoku-ku, Yokohama, Japan","institution_ids":["https://openalex.org/I8087733","https://openalex.org/I203951103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113742339","display_name":"Hideharu Amano","orcid":null},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hideharu Amano","raw_affiliation_strings":["Keio University, Kohoku-ku, Yokohama, Japan"],"affiliations":[{"raw_affiliation_string":"Keio University, Kohoku-ku, Yokohama, Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074802358","display_name":"Oliver Bringmann","orcid":"https://orcid.org/0000-0002-1615-507X"},"institutions":[{"id":"https://openalex.org/I8087733","display_name":"University of T\u00fcbingen","ror":"https://ror.org/03a1kwz48","country_code":"DE","type":"education","lineage":["https://openalex.org/I8087733"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Oliver Bringmann","raw_affiliation_strings":["Eberhard Karls Universit\u00e4t T\u00fcbingen, T\u00fcbingen, Germany"],"affiliations":[{"raw_affiliation_string":"Eberhard Karls Universit\u00e4t T\u00fcbingen, T\u00fcbingen, Germany","institution_ids":["https://openalex.org/I8087733"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087076980","display_name":"Wolfgang Rosenstiel","orcid":null},"institutions":[{"id":"https://openalex.org/I8087733","display_name":"University of T\u00fcbingen","ror":"https://ror.org/03a1kwz48","country_code":"DE","type":"education","lineage":["https://openalex.org/I8087733"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Wolfgang Rosenstiel","raw_affiliation_strings":["Eberhard Karls Universit\u00e4t T\u00fcbingen, T\u00fcbingen, Germany"],"affiliations":[{"raw_affiliation_string":"Eberhard Karls Universit\u00e4t T\u00fcbingen, T\u00fcbingen, Germany","institution_ids":["https://openalex.org/I8087733"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5044024704"],"corresponding_institution_ids":["https://openalex.org/I203951103","https://openalex.org/I8087733"],"apc_list":null,"apc_paid":null,"fwci":1.4701,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.83702879,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10363","display_name":"Low-power high-performance VLSI design","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10363","display_name":"Low-power high-performance VLSI design","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10904","display_name":"Embedded Systems Design Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7266054153442383},{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.6945145726203918},{"id":"https://openalex.org/keywords/biasing","display_name":"Biasing","score":0.6384921669960022},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5227601528167725},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3630598485469818},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3562360405921936},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.23252177238464355},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.17987215518951416},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10000985860824585},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09834021329879761},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.07620039582252502}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7266054153442383},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.6945145726203918},{"id":"https://openalex.org/C20254490","wikidata":"https://www.wikidata.org/wiki/Q719550","display_name":"Biasing","level":3,"score":0.6384921669960022},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5227601528167725},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3630598485469818},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3562360405921936},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.23252177238464355},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.17987215518951416},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10000985860824585},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09834021329879761},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.07620039582252502},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2897937.2898039","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2897937.2898039","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 53rd Annual Design Automation Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"},{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W206999692","https://openalex.org/W1680126001","https://openalex.org/W2008694370","https://openalex.org/W2078287369","https://openalex.org/W2094960953","https://openalex.org/W2095166499","https://openalex.org/W2098736822","https://openalex.org/W2127425146","https://openalex.org/W2150526221"],"related_works":["https://openalex.org/W2069427488","https://openalex.org/W4281694563","https://openalex.org/W2051487156","https://openalex.org/W2080696413","https://openalex.org/W2163182355","https://openalex.org/W1506140395","https://openalex.org/W4232799642","https://openalex.org/W2073681303","https://openalex.org/W4234886518","https://openalex.org/W2912082923"],"abstract_inverted_index":{"In":[0],"FDSOI,":[1],"sophisticated":[2],"body":[3,23,84,135],"biasing":[4],"schemes":[5],"can":[6,122],"greatly":[7],"reduce":[8],"leakage":[9,121],"or":[10],"improve":[11],"performance":[12],"as":[13,15],"well":[14],"efficiency.":[16],"This":[17],"paper":[18],"proposes":[19],"algorithms":[20,81],"to":[21,31,51,88],"determine":[22],"bias":[24,64,85],"domain":[25,65],"candidates":[26,39],"which":[27,53],"then":[28,68],"merge":[29],"those":[30],"reach":[32,89],"a":[33,83],"desired":[34],"number":[35],"of":[36,55,76,116,134],"domains.":[37],"Domain":[38],"are":[40,58,67],"determined":[41,69],"using":[42],"an":[43,114],"activation":[44,72],"based":[45,70],"approach,":[46],"analyzing":[47],"mapped":[48],"verilog":[49],"netlists":[50],"identify":[52],"parts":[54],"the":[56,74,77,117,131],"design":[57],"used":[59],"under":[60],"specified":[61],"conditions.":[62],"Body":[63],"partitionings":[66],"on":[71],"and":[73,96,108,145],"timing":[75,91],"partitioned":[78],"parts.":[79],"The":[80,100,137],"include":[82],"assignment":[86],"algorithm":[87],"given":[90],"goals":[92],"with":[93,104],"multiple":[94],"domains":[95],"cross-domain":[97],"resource":[98,110],"sharing.":[99],"approach":[101],"is":[102,109,139],"compatible":[103],"any":[105],"synthesis":[106],"optimization":[107],"sharing":[111],"aware.":[112],"Using":[113],"implementation":[115],"proposed":[118],"algorithms,":[119],"overall":[120],"be":[123],"significantly":[124],"reduced":[125],"in":[126,141],"all":[127],"scenarios":[128],"while":[129],"obtaining":[130],"same":[132],"benefits":[133],"biasing.":[136],"method":[138],"evaluated":[140],"STMicro's":[142],"28nm":[143],"FDSOI":[144],"Renesas's":[146],"65nm":[147],"SOTB.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}