{"id":"https://openalex.org/W3144899032","doi":"https://doi.org/10.1109/iccad.2008.4681666","title":"Constrained aggressor et selection for maximum coupling noise","display_name":"Constrained aggressor et selection for maximum coupling noise","publication_year":2008,"publication_date":"2008-11-01","ids":{"openalex":"https://openalex.org/W3144899032","doi":"https://doi.org/10.1109/iccad.2008.4681666","mag":"3144899032"},"language":"en","primary_location":{"id":"doi:10.1109/iccad.2008.4681666","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccad.2008.4681666","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE/ACM International Conference on Computer-Aided Design","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/A5013933522","display_name":"Debjit Sinha","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Debjit Sinha","raw_affiliation_strings":["EDA, IBM Systems and Technology Group, Hopewell Junction, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EDA, IBM Systems and Technology Group, Hopewell Junction, NY, USA","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027471448","display_name":"Gregory Schaeffer","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gregory Schaeffer","raw_affiliation_strings":["EDA, IBM Systems and Technology Group, Hopewell Junction, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EDA, IBM Systems and Technology Group, Hopewell Junction, NY, USA","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085183784","display_name":"Soroush Abbaspour","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Soroush Abbaspour","raw_affiliation_strings":["EDA, IBM Systems and Technology Group, Hopewell Junction, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EDA, IBM Systems and Technology Group, Hopewell Junction, NY, USA","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089210200","display_name":"Alex Rubin","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alex Rubin","raw_affiliation_strings":["EDA, IBM Systems and Technology Group, Hopewell Junction, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EDA, IBM Systems and Technology Group, Hopewell Junction, NY, USA","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031997458","display_name":"Frank Borkam","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Frank Borkam","raw_affiliation_strings":["EDA, IBM Systems and Technology Group, Hopewell Junction, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EDA, IBM Systems and Technology Group, Hopewell Junction, NY, USA","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3453,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.73642064,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"790","last_page":"796"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11032","display_name":"VLSI and Analog Circuit Testing","score":0.9980000257492065,"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"}},"topics":[{"id":"https://openalex.org/T11032","display_name":"VLSI and Analog Circuit Testing","score":0.9980000257492065,"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/T10904","display_name":"Embedded Systems Design Techniques","score":0.9976999759674072,"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/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9976000189781189,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5976651906967163},{"id":"https://openalex.org/keywords/lagrangian-relaxation","display_name":"Lagrangian relaxation","score":0.5625806450843811},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5401318073272705},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4869323968887329},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4812224209308624},{"id":"https://openalex.org/keywords/crosstalk","display_name":"Crosstalk","score":0.4570692777633667},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45006951689720154},{"id":"https://openalex.org/keywords/coupling","display_name":"Coupling (piping)","score":0.43362635374069214},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3397183120250702},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24936547875404358},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.13135692477226257},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1282280683517456},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10986357927322388}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5976651906967163},{"id":"https://openalex.org/C91765299","wikidata":"https://www.wikidata.org/wiki/Q3424292","display_name":"Lagrangian relaxation","level":2,"score":0.5625806450843811},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5401318073272705},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4869323968887329},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4812224209308624},{"id":"https://openalex.org/C169822122","wikidata":"https://www.wikidata.org/wiki/Q230187","display_name":"Crosstalk","level":2,"score":0.4570692777633667},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45006951689720154},{"id":"https://openalex.org/C131584629","wikidata":"https://www.wikidata.org/wiki/Q4308705","display_name":"Coupling (piping)","level":2,"score":0.43362635374069214},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3397183120250702},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24936547875404358},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.13135692477226257},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1282280683517456},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10986357927322388},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccad.2008.4681666","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccad.2008.4681666","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE/ACM International Conference on Computer-Aided Design","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1557244636","https://openalex.org/W1569796901","https://openalex.org/W2121626067","https://openalex.org/W2121672421","https://openalex.org/W2136988685","https://openalex.org/W2148151394","https://openalex.org/W2165210723","https://openalex.org/W2166714458","https://openalex.org/W2170949280","https://openalex.org/W4231119589","https://openalex.org/W4239082490","https://openalex.org/W4251268624","https://openalex.org/W6677706691","https://openalex.org/W6684445372","https://openalex.org/W6684514280"],"related_works":["https://openalex.org/W2002102264","https://openalex.org/W4237964977","https://openalex.org/W2155100848","https://openalex.org/W2075228635","https://openalex.org/W3183857959","https://openalex.org/W4243844638","https://openalex.org/W3097196196","https://openalex.org/W2780775897","https://openalex.org/W3149469165","https://openalex.org/W2195430740"],"abstract_inverted_index":{"In":[0],"this":[1,56],"paper,":[2],"we":[3],"consider":[4],"the":[5,33,60,64,72],"problem":[6,34,57],"of":[7,11,63,80],"selecting":[8],"a":[9,23],"set":[10],"aggressor":[12],"nets":[13],"that":[14,46,71],"maximize":[15],"crosstalk":[16],"induced":[17],"noise":[18,61],"or":[19],"delay":[20],"pushout":[21],"on":[22],"coupled":[24],"victim":[25],"net,":[26],"under":[27],"given":[28],"logical":[29],"constraints.":[30],"We":[31,51],"formulate":[32,53],"mathematically,":[35],"and":[36,41,54,91],"propose":[37],"efficient":[38,77],"Lagrangian":[39],"Relaxation":[40],"network":[42],"flow":[43],"based":[44],"approaches":[45,74],"guarantee":[47],"an":[48,87],"optimal":[49],"solution.":[50],"also":[52],"solve":[55],"while":[58],"considering":[59],"susceptibility":[62],"victimpsilas":[65],"receiving":[66],"gate.":[67],"Experimental":[68],"results":[69],"show":[70],"proposed":[73],"are":[75],"run-time":[76],"by":[78,95],"factors":[79],"up":[81,96],"to":[82,86,97],"800times":[83],"in":[84],"comparison":[85],"exhaustive":[88],"search":[89],"approach,":[90],"reduce":[92],"timing":[93],"pessimism":[94],"36%.":[98]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}