{"id":"https://openalex.org/W4242528088","doi":"https://doi.org/10.1109/aspdac.2018.8297300","title":"A highly compressed timing macro-modeling algorithm for hierarchical and incremental timing analysis","display_name":"A highly compressed timing macro-modeling algorithm for hierarchical and incremental timing analysis","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W4242528088","doi":"https://doi.org/10.1109/aspdac.2018.8297300"},"language":"en","primary_location":{"id":"doi:10.1109/aspdac.2018.8297300","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aspdac.2018.8297300","pdf_url":null,"source":{"id":"https://openalex.org/S4363608266","display_name":"2018 23rd Asia and South Pacific Design Automation Conference (ASP-DAC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 23rd Asia and South Pacific Design Automation Conference (ASP-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/A5050570228","display_name":"Tin-Yin Lai","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tin-Yin Lai","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053378706","display_name":"Martin D. F. Wong","orcid":"https://orcid.org/0000-0001-8274-9688"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Martin D. F. Wong","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5050570228"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":0.3378,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.57029178,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"166","last_page":"171"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9998999834060669,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10363","display_name":"Low-power high-performance VLSI design","score":0.9997000098228455,"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/macro","display_name":"Macro","score":0.9047665596008301},{"id":"https://openalex.org/keywords/static-timing-analysis","display_name":"Static timing analysis","score":0.7260708808898926},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7207079529762268},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5231479406356812},{"id":"https://openalex.org/keywords/hierarchical-database-model","display_name":"Hierarchical database model","score":0.5164568424224854},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4356379508972168},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.22274717688560486}],"concepts":[{"id":"https://openalex.org/C166955791","wikidata":"https://www.wikidata.org/wiki/Q629579","display_name":"Macro","level":2,"score":0.9047665596008301},{"id":"https://openalex.org/C93682380","wikidata":"https://www.wikidata.org/wiki/Q2025226","display_name":"Static timing analysis","level":2,"score":0.7260708808898926},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7207079529762268},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5231479406356812},{"id":"https://openalex.org/C144986985","wikidata":"https://www.wikidata.org/wiki/Q871236","display_name":"Hierarchical database model","level":2,"score":0.5164568424224854},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4356379508972168},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.22274717688560486},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","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/aspdac.2018.8297300","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aspdac.2018.8297300","pdf_url":null,"source":{"id":"https://openalex.org/S4363608266","display_name":"2018 23rd Asia and South Pacific Design Automation Conference (ASP-DAC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 23rd Asia and South Pacific Design Automation Conference (ASP-DAC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1988888548","https://openalex.org/W2141654366","https://openalex.org/W2604543213","https://openalex.org/W2624783959","https://openalex.org/W4251935962","https://openalex.org/W4252769808","https://openalex.org/W4255087487","https://openalex.org/W6677293271","https://openalex.org/W6680477247"],"related_works":["https://openalex.org/W2030816003","https://openalex.org/W4239992647","https://openalex.org/W2150013480","https://openalex.org/W1554458299","https://openalex.org/W2076325756","https://openalex.org/W81423522","https://openalex.org/W1509860481","https://openalex.org/W2792825668","https://openalex.org/W4242528088","https://openalex.org/W2155359353"],"abstract_inverted_index":{"Large-scale":[0],"hierarchical":[1,21,105],"and":[2,106,118,142,166],"incremental":[3,29,51,61,107],"timing":[4,13,17,22,52,66,70,92,102,108,113,128],"analysis":[5,53],"has":[6],"driven":[7],"the":[8,26,34,40,65,75,119,131,138,146,151,157,167],"need":[9],"for":[10,19,49,104],"highly":[11,100],"compressed":[12,101],"macro-models.":[14,124],"A":[15],"small":[16],"macro-model":[18,114,170],"accelerating":[20],"is":[23],"desired":[24],"because":[25],"size":[27,165],"of":[28,56,60,140,148,159],"changes":[30],"dramatically":[31],"increases":[32],"as":[33],"macro-models":[35,67,103,129],"are":[36,78,96,134],"widely":[37],"used":[38],"in":[39,90,121,137,145,162,169],"large":[41],"design":[42],"process.":[43],"In":[44,82,110],"fact,":[45],"it":[46],"takes":[47],"days":[48],"an":[50],"on":[54],"millions":[55],"gates":[57],"with":[58],"thousands":[59],"changes.":[62],"To":[63],"date,":[64],"generated":[68],"by":[69],"macro-modeling":[71,93],"algorithms":[72],"from":[73],"all":[74],"previous":[76],"works":[77],"not":[79],"compact":[80],"enough.":[81],"this":[83],"work,":[84],"we":[85],"provide":[86],"four":[87],"essential":[88],"techniques":[89],"our":[91,112,123],"algorithm,":[94],"which":[95],"able":[97],"to":[98],"generate":[99],"analysis.":[109],"addition,":[111],"maintain":[115],"high":[116],"accuracy":[117],"efficiency":[120],"generating":[122],"Our":[125,154],"algorithm":[126],"generates":[127],"where":[130],"model":[132,164],"sizes":[133],"9%":[135],"better":[136,144],"number":[139,147],"nodes":[141],"19%":[143],"edges":[149],"than":[150],"original":[152],"circuit.":[153],"work":[155],"outperforms":[156],"state":[158],"arts":[160],"significantly":[161],"both":[163],"runtime":[168],"usage.":[171]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
