{"id":"https://openalex.org/W4414198841","doi":"https://doi.org/10.1109/dac63849.2025.11133368","title":"Mixed Structural Choice Operator: Enhancing Technology Mapping with Heterogeneous Representations","display_name":"Mixed Structural Choice Operator: Enhancing Technology Mapping with Heterogeneous Representations","publication_year":2025,"publication_date":"2025-06-22","ids":{"openalex":"https://openalex.org/W4414198841","doi":"https://doi.org/10.1109/dac63849.2025.11133368"},"language":"en","primary_location":{"id":"doi:10.1109/dac63849.2025.11133368","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dac63849.2025.11133368","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 62nd ACM/IEEE Design Automation Conference (DAC)","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/A5000087838","display_name":"Hu Zhang","orcid":"https://orcid.org/0000-0003-4516-6277"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhang Hu","raw_affiliation_strings":["Ningbo University,Faculty of Electrical Engineering and Computer Science,Ningbo,China,315211"],"affiliations":[{"raw_affiliation_string":"Ningbo University,Faculty of Electrical Engineering and Computer Science,Ningbo,China,315211","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101608841","display_name":"Hongyang Pan","orcid":"https://orcid.org/0009-0009-0874-4518"},"institutions":[{"id":"https://openalex.org/I4210132426","display_name":"Shanghai Fudan Microelectronics (China)","ror":"https://ror.org/02vfj3j86","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210132426"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyang Pan","raw_affiliation_strings":["Fudan University,School of Microelectronics, State Key Laboratory of Integrated Chips and System,Shanghai,China,200433"],"affiliations":[{"raw_affiliation_string":"Fudan University,School of Microelectronics, State Key Laboratory of Integrated Chips and System,Shanghai,China,200433","institution_ids":["https://openalex.org/I4210132426"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070614875","display_name":"Yinshui Xia","orcid":"https://orcid.org/0000-0002-3831-3876"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinshui Xia","raw_affiliation_strings":["Ningbo University,Faculty of Electrical Engineering and Computer Science,Ningbo,China,315211"],"affiliations":[{"raw_affiliation_string":"Ningbo University,Faculty of Electrical Engineering and Computer Science,Ningbo,China,315211","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037201336","display_name":"Lunyao Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lunyao Wang","raw_affiliation_strings":["Ningbo University,Faculty of Electrical Engineering and Computer Science,Ningbo,China,315211"],"affiliations":[{"raw_affiliation_string":"Ningbo University,Faculty of Electrical Engineering and Computer Science,Ningbo,China,315211","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022156184","display_name":"Zhufei Chu","orcid":"https://orcid.org/0000-0001-5718-4822"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhufei Chu","raw_affiliation_strings":["Ningbo University,Faculty of Electrical Engineering and Computer Science,Ningbo,China,315211"],"affiliations":[{"raw_affiliation_string":"Ningbo University,Faculty of Electrical Engineering and Computer Science,Ningbo,China,315211","institution_ids":["https://openalex.org/I109935558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5000087838"],"corresponding_institution_ids":["https://openalex.org/I109935558"],"apc_list":null,"apc_paid":null,"fwci":1.4612,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.84966772,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14306","display_name":"Technology Assessment and Management","score":0.9010999798774719,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T14306","display_name":"Technology Assessment and Management","score":0.9010999798774719,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.482699990272522},{"id":"https://openalex.org/keywords/logic-synthesis","display_name":"Logic synthesis","score":0.4546999931335449},{"id":"https://openalex.org/keywords/logic-optimization","display_name":"Logic optimization","score":0.4528999924659729},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4302999973297119},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4065000116825104},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.398499995470047}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6363000273704529},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.482699990272522},{"id":"https://openalex.org/C157922185","wikidata":"https://www.wikidata.org/wiki/Q173198","display_name":"Logic synthesis","level":3,"score":0.4546999931335449},{"id":"https://openalex.org/C28449271","wikidata":"https://www.wikidata.org/wiki/Q6667469","display_name":"Logic optimization","level":4,"score":0.4528999924659729},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4302999973297119},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4065000116825104},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.398499995470047},{"id":"https://openalex.org/C131017901","wikidata":"https://www.wikidata.org/wiki/Q170451","display_name":"Logic gate","level":2,"score":0.39719998836517334},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.38350000977516174},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.3682999908924103},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.3375000059604645},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30379998683929443},{"id":"https://openalex.org/C56949724","wikidata":"https://www.wikidata.org/wiki/Q219079","display_name":"Truth table","level":2,"score":0.3012000024318695},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28700000047683716},{"id":"https://openalex.org/C134835016","wikidata":"https://www.wikidata.org/wiki/Q690265","display_name":"Lookup table","level":2,"score":0.2825999855995178},{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.2624000012874603}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dac63849.2025.11133368","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dac63849.2025.11133368","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 62nd ACM/IEEE Design Automation Conference (DAC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1528837436","https://openalex.org/W1776822698","https://openalex.org/W1984163270","https://openalex.org/W2007701500","https://openalex.org/W2050779425","https://openalex.org/W2129147175","https://openalex.org/W2145806390","https://openalex.org/W2346205343","https://openalex.org/W2587804194","https://openalex.org/W2954164878","https://openalex.org/W2970004115","https://openalex.org/W3035954817","https://openalex.org/W3212743974","https://openalex.org/W4212945444","https://openalex.org/W4239323126","https://openalex.org/W4240866746","https://openalex.org/W4312939266","https://openalex.org/W4386763909","https://openalex.org/W4389166825","https://openalex.org/W4390097745","https://openalex.org/W4401416152","https://openalex.org/W4404133761"],"related_works":[],"abstract_inverted_index":{"The":[0],"independence":[1],"of":[2,26,102,139],"logic":[3,28,78,87,115,148,186],"optimization":[4,21,25,45,94,187],"and":[5,30,46,59,89,109,144,160,170,195],"technology":[6,100,107,153],"mapping":[7,73,108,123,154],"poses":[8],"a":[9,57,70,156],"significant":[10],"challenge":[11],"in":[12,114,128],"achieving":[13],"high-quality":[14],"synthesis":[15],"results.":[16,198],"Recent":[17],"studies":[18],"have":[19,31],"improved":[20,32],"outcomes":[22],"through":[23,35],"collaborative":[24],"multiple":[27,77],"representations":[29,79,88],"structural":[33,36,51,111,137,181],"bias":[34,52,112],"choices.":[37],"However,":[38],"these":[39,103],"methods":[40],"still":[41],"rely":[42],"on":[43,63],"technology-independent":[44],"fail":[47],"to":[48,191],"truly":[49],"resolve":[50],"issues.":[53],"This":[54,68],"paper":[55],"proposes":[56],"scalable":[58],"efficient":[60],"framework":[61],"based":[62],"Mixed":[64],"Structural":[65],"Choices":[66],"(MCH).":[67],"is":[69],"novel":[71],"heterogeneous":[72],"method":[74],"that":[75],"combines":[76],"with":[80],"technology-aware":[81],"optimization.":[82],"MCH":[83],"flexibly":[84],"integrates":[85],"different":[86],"stores":[90],"candidates":[91],"for":[92],"various":[93],"strategies.":[95],"By":[96],"comprehensively":[97],"evaluating":[98],"the":[99,118,129,136],"costs":[101],"candidates,":[104],"it":[105],"enhances":[106],"addresses":[110],"issues":[113],"synthesis.":[116],"Notably,":[117],"MCH-based":[119,151,185],"lookup":[120],"table":[121],"(LUT)":[122],"algorithm":[124],"set":[125],"new":[126],"records":[127],"EPFL":[130],"Best":[131],"Results":[132],"Challenge":[133],"by":[134],"combining":[135],"strengths":[138],"both":[140],"And-Inverter":[141],"Graph":[142,146],"(AIG)":[143],"XOR-Majority":[145],"(XMG)":[147],"representations.":[149],"Additionally,":[150],"ASIC":[152],"achieves":[155],"$3.73":[157],"\\%$":[158,162],"area":[159,176],"$8.94":[161],"delay":[163,167],"reduction":[164,168,177],"(balanced),":[165],"20.35%":[166],"(delay-oriented),":[169],"$\\mathbf{2":[171],"1.":[172],"0":[173],"2":[174],"\\%}$":[175],"(area-oriented),":[178],"outperforming":[179],"traditional":[180],"choice":[182],"methods.":[183],"Furthermore,":[184],"utilizes":[188],"diverse":[189],"structures":[190],"surpass":[192],"local":[193],"optima":[194],"achieve":[196],"better":[197]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}
