{"id":"https://openalex.org/W4403863898","doi":"https://doi.org/10.1109/tcasai.2024.3487817","title":"Accelerating Recommendation Systems With In-Memory Embedding Operations","display_name":"Accelerating Recommendation Systems With In-Memory Embedding Operations","publication_year":2024,"publication_date":"2024-10-29","ids":{"openalex":"https://openalex.org/W4403863898","doi":"https://doi.org/10.1109/tcasai.2024.3487817"},"language":"en","primary_location":{"id":"doi:10.1109/tcasai.2024.3487817","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcasai.2024.3487817","pdf_url":null,"source":{"id":"https://openalex.org/S4404675360","display_name":"IEEE transactions on circuits and systems for artificial intelligence.","issn_l":"2996-6647","issn":["2996-6647"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Artificial Intelligence","raw_type":"journal-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/A5114910887","display_name":"Mengyuan Li","orcid":"https://orcid.org/0000-0002-6322-9908"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mengyuan Li","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, USA"],"raw_orcid":"https://orcid.org/0000-0002-6322-9908","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, USA","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064528017","display_name":"Dayane Reis","orcid":"https://orcid.org/0000-0002-8571-1308"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dayane Reis","raw_affiliation_strings":["Department of Computer Science and Engineering, University of South Florida, Tampa, FL, USA"],"raw_orcid":"https://orcid.org/0000-0002-8571-1308","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of South Florida, Tampa, FL, USA","institution_ids":["https://openalex.org/I2613432"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053712676","display_name":"Ann Franchesca Laguna","orcid":"https://orcid.org/0000-0001-8267-1040"},"institutions":[{"id":"https://openalex.org/I5996616","display_name":"De La Salle University","ror":"https://ror.org/04xftk194","country_code":"PH","type":"education","lineage":["https://openalex.org/I5996616"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Ann Franchesca Laguna","raw_affiliation_strings":["Department of Computer Technology, De La Salle University, Manila, Philippines"],"raw_orcid":"https://orcid.org/0000-0001-8267-1040","affiliations":[{"raw_affiliation_string":"Department of Computer Technology, De La Salle University, Manila, Philippines","institution_ids":["https://openalex.org/I5996616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003032564","display_name":"Michael Niemier","orcid":"https://orcid.org/0000-0001-7776-4306"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Niemier","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, USA"],"raw_orcid":"https://orcid.org/0000-0001-7776-4306","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, USA","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100600905","display_name":"Xiaobo Sharon Hu","orcid":"https://orcid.org/0000-0002-6636-9738"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaobo Sharon Hu","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, USA"],"raw_orcid":"https://orcid.org/0000-0002-6636-9738","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, USA","institution_ids":["https://openalex.org/I107639228"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2792,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.8588664,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"1","issue":"2","first_page":"244","last_page":"256"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.91839998960495,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6387799978256226},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6186710596084595},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.41540223360061646},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23653653264045715}],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6387799978256226},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6186710596084595},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.41540223360061646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23653653264045715}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcasai.2024.3487817","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcasai.2024.3487817","pdf_url":null,"source":{"id":"https://openalex.org/S4404675360","display_name":"IEEE transactions on circuits and systems for artificial intelligence.","issn_l":"2996-6647","issn":["2996-6647"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3195522723","display_name":null,"funder_award_id":"CCF-2028879","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3338276909","display_name":null,"funder_award_id":"CCF-1640081","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W2069345435","https://openalex.org/W2219888463","https://openalex.org/W2336920772","https://openalex.org/W2512971201","https://openalex.org/W2588236721","https://openalex.org/W2604294049","https://openalex.org/W2742528903","https://openalex.org/W2782046614","https://openalex.org/W2786159202","https://openalex.org/W2889210320","https://openalex.org/W2899077824","https://openalex.org/W2947737663","https://openalex.org/W2963207245","https://openalex.org/W2972269283","https://openalex.org/W2978448132","https://openalex.org/W2982930951","https://openalex.org/W2986514577","https://openalex.org/W2988640543","https://openalex.org/W3006048143","https://openalex.org/W3012833893","https://openalex.org/W3033330790","https://openalex.org/W3034710094","https://openalex.org/W3035964421","https://openalex.org/W3043023836","https://openalex.org/W3081362488","https://openalex.org/W3093739590","https://openalex.org/W3100127252","https://openalex.org/W3131663603","https://openalex.org/W3166863226","https://openalex.org/W3173839890","https://openalex.org/W3197870239","https://openalex.org/W3210344344","https://openalex.org/W4226080078","https://openalex.org/W4226150639","https://openalex.org/W4243519499","https://openalex.org/W4293023010","https://openalex.org/W4385885086","https://openalex.org/W4389785536","https://openalex.org/W6763737044","https://openalex.org/W6770169410","https://openalex.org/W6784249077","https://openalex.org/W6790309730","https://openalex.org/W6791027859"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2081900870","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890"],"abstract_inverted_index":{"Recommendation":[0],"systems":[1],"(RecSys)":[2],"can":[3,108,120],"effectively":[4],"suggest":[5],"items":[6],"to":[7,68,123,134,169,216,241,256],"a":[8,24,126,164,184,217,246,251],"given":[9],"user":[10],"by":[11],"predicting":[12],"their":[13],"preferences":[14],"based":[15],"on":[16,29,83,139,205,227,266],"the":[17,60,149,160,171,206,212,228,242,257,267],"massive":[18],"amount":[19],"of":[20,26,54,62,97,151,211],"historical":[21],"data":[22],"from":[23],"collection":[25],"users.":[27],"RecSysbased":[28],"deep":[30],"neural":[31],"networks":[32],"(DNNs)":[33],"are":[34],"widely":[35],"adopted,":[36],"and":[37,44,52,74,105,131,147,153,176,198,208],"must":[38],"handle":[39],"large":[40],"embedding":[41],"tables":[42],"(ETs)":[43],"many":[45],"ET":[46,155,224],"related":[47,67,225],"operations.":[48,137],"The":[49,93],"memory":[50,73,129,161],"size":[51],"bandwidth":[53],"conventional":[55],"computing":[56],"architectures":[57],"usually":[58],"restrict":[59],"performance":[61],"RecSys,":[63],"especially":[64],"for":[65,89,223],"operations":[66,226],"ETs.":[69],"To":[70],"reduce":[71,159],"both":[72],"computational":[75],"bottlenecks,":[76],"this":[77,140],"work":[78],"proposes":[79],"implementing":[80],"compressed":[81,172],"ETs":[82,146],"an":[84,234],"in-memory-computing":[85],"(IMC)":[86],"architecture,":[87],"nMARS,":[88],"accelerating":[90],"DNN-based":[91],"RecSys.":[92],"IMC":[94,141],"fabric":[95],"consists":[96],"random-access":[98],"memories":[99,103],"(RAMs),":[100],"configurable":[101],"random-access/content-addressable":[102],"(RA/CAMs),":[104],"crossbars":[106],"that":[107,180],"be":[109,121],"implemented":[110],"with":[111,183],"CMOS":[112,185],"or":[113],"ferroelectric":[114],"field":[115],"effect":[116],"transistors":[117],"(FeFETs).":[118],"RA/CAMs":[119],"configured":[122],"switch":[124],"between":[125],"content":[127],"addressable":[128],"mode":[130,133],"RAM":[132],"support":[135,170],"RecSys":[136],"Based":[138],"fabric,":[142],"we":[143],"design":[144],"IMC-friendly":[145],"explore":[148],"integration":[150],"mixed-dimension":[152],"mixed-precision":[154],"compression":[156],"techniques,":[157],"which":[158],"requirements,":[162],"through":[163],"mapping":[165],"scheme":[166],"specifically":[167],"designed":[168,182],"format.":[173],"Detailed":[174],"circuit-level":[175],"system-level":[177],"evaluations":[178],"show":[179],"nMARS":[181],"45":[186],"nm":[187,219],"process":[188],"node":[189],"achieves":[190,250],"<inline-formula":[191],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[192,195,200,236],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[193,196,201,237],"notation=\"LaTeX\">$\\boldsymbol{\\sim}$</tex-math></inline-formula>32<inline-formula":[194],"notation=\"LaTeX\">$\\boldsymbol{\\times}$</tex-math></inline-formula>":[197,202,238],"14<inline-formula":[199],"latency":[203],"improvement":[204],"filtering":[207],"ranking":[209],"stages":[210],"MovieLens":[213,268],"dataset":[214],"compared":[215,240,255],"16":[218],"GPU-based":[220,243],"solution.":[221,244],"Moreover,":[222],"Criteo":[229],"dataset,":[230],"nMAR":[231],"Scan":[232],"achieve":[233],"80<inline-formula":[235],"speedup":[239],"For":[245],"FeFET":[247],"implementation,":[248],"it":[249],"39%":[252],"energy":[253],"reduction":[254],"previous":[258],"FeFET-based":[259],"in-memory":[260],"RecSyssolution":[261],"(Li":[262],"et":[263],"al.,":[264],"2022)":[265],"dataset.":[269]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}