{"id":"https://openalex.org/W4409307128","doi":"https://doi.org/10.1145/3676536.3676767","title":"Peak Power and Dynamic IR-drop Assessment via Waveform Augmenting","display_name":"Peak Power and Dynamic IR-drop Assessment via Waveform Augmenting","publication_year":2024,"publication_date":"2024-10-27","ids":{"openalex":"https://openalex.org/W4409307128","doi":"https://doi.org/10.1145/3676536.3676767"},"language":"en","primary_location":{"id":"doi:10.1145/3676536.3676767","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3676536.3676767","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3676536.3676767","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3676536.3676767","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yihan Wen","orcid":"https://orcid.org/0000-0001-7057-8308"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yihan Wen","raw_affiliation_strings":["Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7057-8308","affiliations":[{"raw_affiliation_string":"Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Juan Li","orcid":"https://orcid.org/0009-0001-0159-8943"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juan Li","raw_affiliation_strings":["Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0001-0159-8943","affiliations":[{"raw_affiliation_string":"Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051340429","display_name":"Bei Yu","orcid":"https://orcid.org/0000-0001-6406-4810"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Bei Yu","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-6406-4810","affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031043146","display_name":"Xiaoyi Wang","orcid":"https://orcid.org/0000-0002-8785-4302"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaoyi Wang","raw_affiliation_strings":["Unaffiliated Scholar, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8785-4302","affiliations":[{"raw_affiliation_string":"Unaffiliated Scholar, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9890999794006348,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/waveform","display_name":"Waveform","score":0.713597297668457},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5548812747001648},{"id":"https://openalex.org/keywords/drop","display_name":"Drop (telecommunication)","score":0.5288772583007812},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4982633590698242},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10113582015037537},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09830302000045776}],"concepts":[{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.713597297668457},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5548812747001648},{"id":"https://openalex.org/C2781345722","wikidata":"https://www.wikidata.org/wiki/Q5308388","display_name":"Drop (telecommunication)","level":2,"score":0.5288772583007812},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4982633590698242},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10113582015037537},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09830302000045776},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3676536.3676767","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3676536.3676767","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3676536.3676767","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3676536.3676767","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3676536.3676767","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3676536.3676767","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322942","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409307128.pdf","grobid_xml":"https://content.openalex.org/works/W4409307128.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W317957491","https://openalex.org/W1988247242","https://openalex.org/W2006255103","https://openalex.org/W2028346044","https://openalex.org/W2054442439","https://openalex.org/W2079942551","https://openalex.org/W2098143668","https://openalex.org/W2102666576","https://openalex.org/W2104380605","https://openalex.org/W2107236168","https://openalex.org/W2109258578","https://openalex.org/W2112747363","https://openalex.org/W2121947440","https://openalex.org/W2124618249","https://openalex.org/W2132603077","https://openalex.org/W2132914434","https://openalex.org/W2136446383","https://openalex.org/W2137917061","https://openalex.org/W2138689074","https://openalex.org/W2138858358","https://openalex.org/W2160952696","https://openalex.org/W2169621345","https://openalex.org/W2170483820","https://openalex.org/W2173072002","https://openalex.org/W2327610027","https://openalex.org/W2342900491","https://openalex.org/W2519398101","https://openalex.org/W2624677037","https://openalex.org/W2765869897","https://openalex.org/W3128615048","https://openalex.org/W4388819618","https://openalex.org/W6649382192","https://openalex.org/W6685440189"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W1974895211","https://openalex.org/W2129841057","https://openalex.org/W3040712279","https://openalex.org/W2176409448","https://openalex.org/W2364769705","https://openalex.org/W2056136368","https://openalex.org/W2374664672"],"abstract_inverted_index":{"Pre-silicon":[0],"power":[1,25,94,134,154,193],"and":[2,14,26,39,95,135,155,182,194,201],"IR-drop":[3,28,137,156],"estimation":[4,90],"are":[5,17,104,165],"crucial":[6],"parts":[7],"of":[8,29,91,109],"the":[9,22,30,41,46,51,98,107,116,131,148,159,175,187,206],"chip":[10,37],"design":[11,172],"process.":[12],"Vector-based":[13],"vectorless":[15,207],"assessments":[16,65],"commonly":[18],"employed":[19],"to":[20,50,74,147,158],"estimate":[21],"worst":[23,132,191],"peak":[24,93,133,192],"dynamic":[27,136,153,195],"design.":[31],"However,":[32],"with":[33],"rapid":[34],"growth":[35],"in":[36,53],"scale":[38],"complexity,":[40],"waveform-driven":[42],"vector-based":[43,188],"assessment":[44,82,178],"encounters":[45],"coverage":[47],"challenge":[48],"due":[49],"difficulty":[52],"generating":[54],"test":[55],"waveforms":[56],"that":[57,174],"encompass":[58],"all":[59],"potential":[60],"worst-case":[61,92,177],"scenarios.":[62],"Additionally,":[63],"Vectorless":[64],"consistently":[66],"yield":[67],"overly":[68],"pessimistic":[69],"estimations":[70],"which":[71],"may":[72],"lead":[73],"significant":[75],"overdesign.":[76],"This":[77],"paper":[78],"proposes":[79],"a":[80,87,144],"semi-vector-based":[81],"flow":[83],"aimed":[84],"at":[85],"offering":[86],"more":[88,184,203],"reasonable":[89],"IR-drop.":[96,196],"In":[97],"proposed":[99,176],"assessment,":[100],"functionally":[101,122],"independent":[102,123],"modules":[103,124],"identified":[105],"through":[106],"analysis":[108,157],"module":[110],"toggle":[111,125],"activity":[112],"correlation":[113],"(MTAC)":[114],"on":[115,169],"existing":[117,149],"waveform.":[118,150],"By":[119,151],"making":[120],"these":[121],"simultaneously,":[126],"an":[127,170],"augmented":[128,160],"waveform":[129],"approximating":[130],"scenario":[138],"is":[139,180,199],"actively":[140],"generated":[141],"while":[142],"preserving":[143],"similar":[145],"MTAC":[146],"applying":[152],"waveform,":[161],"previously":[162],"unaddressed":[163],"weaknesses":[164],"identified.":[166],"Experimental":[167],"results":[168],"industrial":[171],"indicate":[173],"result":[179,189],"3\u00d7":[181],"2.5\u00d7":[183],"accurate":[185,204],"than":[186,205],"for":[190],"Similarly,":[197],"it":[198],"33\u00d7":[200],"6\u00d7":[202],"result.":[208]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}