{"id":"https://openalex.org/W4410583296","doi":"https://doi.org/10.23919/date64628.2025.10992960","title":"CLAIRE: Composable Chiplet Libraries for AI Inference","display_name":"CLAIRE: Composable Chiplet Libraries for AI Inference","publication_year":2025,"publication_date":"2025-03-31","ids":{"openalex":"https://openalex.org/W4410583296","doi":"https://doi.org/10.23919/date64628.2025.10992960"},"language":"en","primary_location":{"id":"doi:10.23919/date64628.2025.10992960","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date64628.2025.10992960","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Design, Automation &amp;amp; Test in Europe Conference (DATE)","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/A5012768600","display_name":"Pragnya Sudershan Nalla","orcid":"https://orcid.org/0009-0006-3688-6941"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]},{"id":"https://openalex.org/I4210101327","display_name":"Twin Cities Orthopedics","ror":"https://ror.org/01en4s460","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210101327"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Pragnya Sudershan Nalla","raw_affiliation_strings":["University of Minnesota Twin Cities"],"affiliations":[{"raw_affiliation_string":"University of Minnesota Twin Cities","institution_ids":["https://openalex.org/I4210101327","https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092310105","display_name":"Emad Haque","orcid":null},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Emad Haque","raw_affiliation_strings":["Arizona State University"],"affiliations":[{"raw_affiliation_string":"Arizona State University","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102676481","display_name":"Yaotian Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yaotian Liu","raw_affiliation_strings":["Arizona State University"],"affiliations":[{"raw_affiliation_string":"Arizona State University","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068714995","display_name":"Sachin S. Sapatnekar","orcid":"https://orcid.org/0000-0002-5353-2364"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]},{"id":"https://openalex.org/I4210101327","display_name":"Twin Cities Orthopedics","ror":"https://ror.org/01en4s460","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210101327"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sachin S. Sapatnekar","raw_affiliation_strings":["University of Minnesota Twin Cities"],"affiliations":[{"raw_affiliation_string":"University of Minnesota Twin Cities","institution_ids":["https://openalex.org/I4210101327","https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077249620","display_name":"Jeff Zhang","orcid":"https://orcid.org/0000-0001-7411-8923"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeff Zhang","raw_affiliation_strings":["Arizona State University"],"affiliations":[{"raw_affiliation_string":"Arizona State University","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025336372","display_name":"Chaitali Chakrabarti","orcid":"https://orcid.org/0000-0002-9859-7778"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chaitali Chakrabarti","raw_affiliation_strings":["Arizona State University"],"affiliations":[{"raw_affiliation_string":"Arizona State University","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113328946","display_name":"Yu Cao","orcid":"https://orcid.org/0009-0001-6760-6280"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]},{"id":"https://openalex.org/I4210101327","display_name":"Twin Cities Orthopedics","ror":"https://ror.org/01en4s460","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210101327"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Cao","raw_affiliation_strings":["University of Minnesota Twin Cities"],"affiliations":[{"raw_affiliation_string":"University of Minnesota Twin Cities","institution_ids":["https://openalex.org/I4210101327","https://openalex.org/I130238516"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5012768600"],"corresponding_institution_ids":["https://openalex.org/I130238516","https://openalex.org/I4210101327"],"apc_list":null,"apc_paid":null,"fwci":6.4575,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.9633765,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.5357999801635742,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.5357999801635742,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12784","display_name":"Modular Robots and Swarm Intelligence","score":0.47049999237060547,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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":0.7752319574356079},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6322258114814758},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.4371790289878845},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38811469078063965}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7752319574356079},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6322258114814758},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.4371790289878845},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38811469078063965}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/date64628.2025.10992960","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date64628.2025.10992960","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Design, Automation &amp;amp; Test in Europe Conference (DATE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5720207932","display_name":null,"funder_award_id":"CCF-2403408,CCF-2403409","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306087","display_name":"Semiconductor Research Corporation","ror":"https://ror.org/047z4n946"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2131681506","https://openalex.org/W2163835931","https://openalex.org/W2289252105","https://openalex.org/W2543533520","https://openalex.org/W2618530766","https://openalex.org/W2782046614","https://openalex.org/W2901837052","https://openalex.org/W2903688003","https://openalex.org/W2980104813","https://openalex.org/W2982219368","https://openalex.org/W3096609285","https://openalex.org/W3187788856","https://openalex.org/W4240365877","https://openalex.org/W4293023438","https://openalex.org/W4386763434","https://openalex.org/W4389166699","https://openalex.org/W4393141091"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Artificial":[0],"intelligence":[1],"has":[2],"made":[3],"a":[4,101,132,146,153],"significant":[5,29],"impact":[6],"on":[7,131,145],"fields":[8],"like":[9,62],"computer":[10],"vision,":[11],"Natural":[12],"Language":[13],"Processing":[14],"(NLP),":[15],"healthcare,":[16],"and":[17,26,40,54,84,96,123,189],"robotics.":[18],"However,":[19],"recent":[20],"AI":[21,75,105,136,192],"models,":[22],"such":[23],"as":[24],"GPT-4":[25],"LLaMAv3,":[27],"demand":[28],"number":[30],"of":[31,93,104,116,135,141,149,184],"computational":[32],"resources,":[33],"pushing":[34],"monolithic":[35],"chips":[36],"to":[37,50,72,170,176],"their":[38],"technological":[39,53],"practical":[41,55],"limits.":[42,56],"2.5D":[43],"chiplet-based":[44,172],"heterogeneous":[45],"architectures":[46],"have":[47],"been":[48],"proposed":[49,108],"address":[51],"these":[52,139],"While":[57],"chiplet":[58,86,97,117,162],"optimization":[59],"for":[60,100,179,191],"models":[61,77],"Convolutional":[63],"Neural":[64],"Networks":[65],"(CNNs)":[66],"is":[67,88,107],"well-established,":[68],"scaling":[69],"this":[70,110],"approach":[71],"accommodate":[73],"diverse":[74,133],"inference":[76],"with":[78,165],"different":[79,85,147],"computing":[80],"primitives,":[81],"data":[82],"volumes,":[83],"sizes":[87],"very":[89],"challenging.":[90],"A":[91],"set":[92,115,134,140,148],"hardened":[94],"IPs":[95,178],"libraries":[98],"optimized":[99],"broad":[102],"range":[103],"applications":[106],"in":[109,158],"work.":[111],"We":[112],"derive":[113],"the":[114,182],"configurations":[118,144],"that":[119],"are":[120],"composable,":[121],"scalable":[122],"reusable":[124],"by":[125],"employing":[126],"an":[127],"analytical":[128],"framework":[129],"trained":[130],"algorithms.":[137],"Testing":[138],"library":[142,183],"synthesized":[143],"algorithms,":[150],"we":[151],"achieve":[152],"<tex":[154],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[155],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$1.99\\times-3.99\\times$</tex>":[156],"improvement":[157],"non-recurring":[159],"engineering":[160],"(NRE)":[161],"design":[163],"costs,":[164],"minimal":[166],"performance":[167],"overhead":[168],"compared":[169],"custom":[171],"ASIC":[173],"designs.":[174,194],"Similar":[175],"soft":[177],"SoC":[180],"development,":[181],"chiplets":[185],"improves":[186],"flexibility,":[187],"reusability,":[188],"efficiency":[190],"hardware":[193]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}