{"id":"https://openalex.org/W4312121034","doi":"https://doi.org/10.1145/3508352.3549447","title":"Big-Little Chiplets for In-Memory Acceleration of DNNs","display_name":"Big-Little Chiplets for In-Memory Acceleration of DNNs","publication_year":2022,"publication_date":"2022-10-30","ids":{"openalex":"https://openalex.org/W4312121034","doi":"https://doi.org/10.1145/3508352.3549447"},"language":"en","primary_location":{"id":"doi:10.1145/3508352.3549447","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3508352.3549447","pdf_url":null,"source":{"id":"https://openalex.org/S4363608844","display_name":"Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design","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":"Proceedings of the 41st 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/A5002498234","display_name":"Gokul Krishnan","orcid":"https://orcid.org/0000-0003-1813-1140"},"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":true,"raw_author_name":"Gokul Krishnan","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/A5000360959","display_name":"A. Alper Goksoy","orcid":"https://orcid.org/0000-0001-8679-9842"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Alper Goksoy","raw_affiliation_strings":["University of Wisconsin-Madison"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043173800","display_name":"Sumit K. Mandal","orcid":"https://orcid.org/0000-0002-9294-1603"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sumit K. Mandal","raw_affiliation_strings":["University of Wisconsin-Madison"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100344956","display_name":"Zhenyu Wang","orcid":"https://orcid.org/0000-0002-5249-0705"},"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":"Zhenyu Wang","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":"middle","author":{"id":"https://openalex.org/A5007690955","display_name":"Jae-sun Seo","orcid":"https://orcid.org/0000-0002-4551-7789"},"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":"Jae-sun Seo","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/A5084255924","display_name":"\u00dcmit Y. Ogras","orcid":"https://orcid.org/0000-0002-5045-5535"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Umit Y. Ogras","raw_affiliation_strings":["University of Wisconsin-Madison"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100740019","display_name":"Yu Cao","orcid":"https://orcid.org/0000-0001-6968-1180"},"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":"Yu Cao","raw_affiliation_strings":["Arizona State University"],"affiliations":[{"raw_affiliation_string":"Arizona State University","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5002498234"],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":2.2556,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.89693794,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.996399998664856,"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"}},{"id":"https://openalex.org/T10472","display_name":"Semiconductor materials and devices","score":0.9945999979972839,"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":0.7897896766662598},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7850114107131958},{"id":"https://openalex.org/keywords/interconnection","display_name":"Interconnection","score":0.647784948348999},{"id":"https://openalex.org/keywords/dram","display_name":"Dram","score":0.6058211326599121},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.5828335285186768},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.5289528369903564},{"id":"https://openalex.org/keywords/memory-bandwidth","display_name":"Memory bandwidth","score":0.44858667254447937},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.447654128074646},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.44073745608329773},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.4041048288345337},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.37538912892341614},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3669423460960388},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3216986656188965},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.21970775723457336},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.21590352058410645},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.13525784015655518},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.09525972604751587},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0807654857635498}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7897896766662598},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7850114107131958},{"id":"https://openalex.org/C123745756","wikidata":"https://www.wikidata.org/wiki/Q1665949","display_name":"Interconnection","level":2,"score":0.647784948348999},{"id":"https://openalex.org/C7366592","wikidata":"https://www.wikidata.org/wiki/Q1255620","display_name":"Dram","level":2,"score":0.6058211326599121},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.5828335285186768},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.5289528369903564},{"id":"https://openalex.org/C188045654","wikidata":"https://www.wikidata.org/wiki/Q17148339","display_name":"Memory bandwidth","level":2,"score":0.44858667254447937},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.447654128074646},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.44073745608329773},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.4041048288345337},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.37538912892341614},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3669423460960388},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3216986656188965},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.21970775723457336},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.21590352058410645},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.13525784015655518},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.09525972604751587},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0807654857635498},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3508352.3549447","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3508352.3549447","pdf_url":null,"source":{"id":"https://openalex.org/S4363608844","display_name":"Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design","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":"Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8999999761581421}],"awards":[{"id":"https://openalex.org/G6793480971","display_name":null,"funder_award_id":"JUMP C-BRIC","funder_id":"https://openalex.org/F4320306087","funder_display_name":"Semiconductor Research Corporation"}],"funders":[{"id":"https://openalex.org/F4320306087","display_name":"Semiconductor Research Corporation","ror":"https://ror.org/047z4n946"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2135407913","https://openalex.org/W2512491897","https://openalex.org/W2518432791","https://openalex.org/W2584311934","https://openalex.org/W2592428089","https://openalex.org/W2613989746","https://openalex.org/W2802000047","https://openalex.org/W2981985696","https://openalex.org/W2982083293","https://openalex.org/W3035560939","https://openalex.org/W3048606948","https://openalex.org/W3092226368","https://openalex.org/W3092240006","https://openalex.org/W3111684448","https://openalex.org/W3158233068","https://openalex.org/W3161299939","https://openalex.org/W3187788856","https://openalex.org/W3211730428","https://openalex.org/W3213250563","https://openalex.org/W4248716645","https://openalex.org/W4280564961","https://openalex.org/W4285259478"],"related_works":["https://openalex.org/W3120961607","https://openalex.org/W3148568549","https://openalex.org/W1648516568","https://openalex.org/W361036515","https://openalex.org/W2135100917","https://openalex.org/W2077105843","https://openalex.org/W2770465587","https://openalex.org/W2086716781","https://openalex.org/W2022510519","https://openalex.org/W2769711393"],"abstract_inverted_index":{"Monolithic":[0],"in-memory":[1],"computing":[2],"(IMC)":[3],"architectures":[4,37],"face":[5],"significant":[6],"yield":[7],"and":[8,31,41,57,71,82,120,179,203,219],"fabrication":[9],"cost":[10],"challenges":[11],"as":[12],"the":[13,39,49,78,96,99,104,108,113,121,127,155,165,175,189],"complexity":[14],"of":[15,152,188],"DNNs":[16,153],"increases.":[17],"Chiplet-based":[18],"IMCs":[19],"that":[20,103],"integrate":[21],"multiple":[22],"dies":[23],"with":[24,68,116,130],"advanced":[25],"2.5D/3D":[26],"packaging":[27],"offers":[28],"a":[29,64,72,86,91,137,142,149,160],"low-cost":[30],"scalable":[32,138],"solution.":[33],"They":[34],"enable":[35],"heterogeneous":[36,65],"where":[38],"chiplets":[40,70,115,129],"their":[42],"associated":[43],"interconnection":[44],"can":[45],"be":[46],"tailored":[47],"to":[48,53,76,94,112,126,147,159,171,181,212],"non-uniform":[50],"algorithmic":[51],"structures":[52],"maximize":[54],"IMC":[55,66,163,184,194],"utilization":[56],"reduce":[58],"energy":[59,83],"consumption.":[60],"This":[61],"paper":[62],"proposes":[63],"architecture":[67,101,168,195],"big-little":[69,100,167,191],"hybrid":[73],"network-on-package":[74],"(NoP)":[75],"optimize":[77],"utilization,":[79],"interconnect":[80],"bandwidth,":[81],"efficiency.":[84],"For":[85],"given":[87],"DNN,":[88],"we":[89,135],"develop":[90],"custom":[92],"methodology":[93],"map":[95],"model":[97],"onto":[98],"such":[102],"early":[105],"layers":[106,123],"in":[107,174,206],"DNN":[109],"are":[110,124],"mapped":[111,125],"little":[114],"higher":[117,183],"NoP":[118,132],"bandwidth":[119],"subsequent":[122],"big":[128],"lower":[131,209],"bandwidth.":[133],"Furthermore,":[134],"achieve":[136],"solution":[139],"by":[140],"incorporating":[141],"DRAM":[143],"into":[144],"each":[145],"chiplet":[146],"support":[148],"wide":[150],"range":[151],"beyond":[154],"area":[156,210],"limit.":[157],"Compared":[158],"homogeneous":[161],"chiplet-based":[162,192],"architecture,":[164,221],"proposed":[166,190],"achieves":[169],"up":[170,180],"329\u00d7":[172],"improvement":[173,205],"energy-delay-area":[176],"product":[177],"(EDAP)":[178],"2\u00d7":[182],"utilization.":[185],"Experimental":[186],"evaluation":[187],"RRAM":[193],"for":[196],"ResNet-50":[197],"on":[198],"ImageNet":[199],"shows":[200],"259\u00d7,":[201],"139\u00d7,":[202],"48\u00d7":[204],"energy-efficiency":[207],"at":[208],"compared":[211],"Nvidia":[213,216],"V100":[214],"GPU,":[215,218],"T4":[217],"SIMBA":[220],"respectively.":[222]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
