{"id":"https://openalex.org/W4293023010","doi":"https://doi.org/10.1145/3489517.3530478","title":"iMARS","display_name":"iMARS","publication_year":2022,"publication_date":"2022-07-10","ids":{"openalex":"https://openalex.org/W4293023010","doi":"https://doi.org/10.1145/3489517.3530478"},"language":"en","primary_location":{"id":"doi:10.1145/3489517.3530478","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3489517.3530478","pdf_url":null,"source":{"id":"https://openalex.org/S4363608816","display_name":"Proceedings of the 59th ACM/IEEE Design Automation Conference","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 59th ACM/IEEE Design Automation Conference","raw_type":"proceedings-article"},"type":"conference-paper","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":["University of Notre Dame"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Notre Dame","institution_ids":["https://openalex.org/I107639228"]}]},{"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/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":"Ann Franchesca Laguna","raw_affiliation_strings":["University of Notre Dame"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Notre Dame","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/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":"Dayane Reis","raw_affiliation_strings":["University of Notre Dame"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Notre Dame","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071383109","display_name":"Xunzhao Yin","orcid":"https://orcid.org/0000-0003-4656-9545"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xunzhao Yin","raw_affiliation_strings":["Zhejiang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]},{"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":["University of Notre Dame"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Notre Dame","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":"X. Sharon Hu","raw_affiliation_strings":["University of Notre Dame"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Notre Dame","institution_ids":["https://openalex.org/I107639228"]}]}],"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":false,"cited_by_count":14,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"463","last_page":"468"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","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"}},"topics":[{"id":"https://openalex.org/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","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"}},{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":0.9973000288009644,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.992900013923645,"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":0.753685712814331},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6638609170913696},{"id":"https://openalex.org/keywords/movielens","display_name":"MovieLens","score":0.6453988552093506},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.45377427339553833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4425560534000397},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.42667055130004883},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.38179653882980347},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.3599308133125305},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.32637542486190796},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2898651659488678},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.2681705355644226},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09837165474891663}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.753685712814331},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6638609170913696},{"id":"https://openalex.org/C2776156558","wikidata":"https://www.wikidata.org/wiki/Q4353746","display_name":"MovieLens","level":4,"score":0.6453988552093506},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.45377427339553833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4425560534000397},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.42667055130004883},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.38179653882980347},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3599308133125305},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.32637542486190796},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2898651659488678},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.2681705355644226},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09837165474891663}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3489517.3530478","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3489517.3530478","pdf_url":null,"source":{"id":"https://openalex.org/S4363608816","display_name":"Proceedings of the 59th ACM/IEEE Design Automation Conference","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 59th ACM/IEEE Design Automation Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7900000214576721,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G2940511584","display_name":null,"funder_award_id":"CCF-2028879, 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"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2331783522","https://openalex.org/W2512971201","https://openalex.org/W2782046614","https://openalex.org/W2786159202","https://openalex.org/W2889210320","https://openalex.org/W2899077824","https://openalex.org/W2947737663","https://openalex.org/W2972269283","https://openalex.org/W2973064692","https://openalex.org/W2978448132","https://openalex.org/W2988640543","https://openalex.org/W3006048143","https://openalex.org/W3033330790","https://openalex.org/W3043023836","https://openalex.org/W3100127252","https://openalex.org/W3127045726","https://openalex.org/W3131663603","https://openalex.org/W3166863226","https://openalex.org/W4243519499","https://openalex.org/W6917172014"],"related_works":["https://openalex.org/W2524663498","https://openalex.org/W2113380565","https://openalex.org/W2781850661","https://openalex.org/W3004286290","https://openalex.org/W4233347881","https://openalex.org/W2169020911","https://openalex.org/W2297964623","https://openalex.org/W2549064611","https://openalex.org/W1518338130","https://openalex.org/W2907069037"],"abstract_inverted_index":{"Recommendation":[0],"systems":[1],"(RecSys)":[2],"suggest":[3],"items":[4],"to":[5,90],"users":[6],"by":[7],"predicting":[8],"their":[9],"preferences":[10],"based":[11,72],"on":[12],"historical":[13],"data.":[14],"Typical":[15],"RecSys":[16],"handle":[17],"large":[18],"embedding":[19,23,65],"tables":[20,66],"and":[21,30,54,76],"many":[22],"table":[24],"related":[25],"operations.":[26],"The":[27],"memory":[28],"size":[29],"bandwidth":[31],"of":[32,40,57],"the":[33,38,52,91,95],"conventional":[34],"computer":[35],"architecture":[36,48],"restrict":[37],"performance":[39],"RecSys.":[41,61],"This":[42],"work":[43],"proposes":[44],"an":[45],"in-memory-computing":[46],"(IMC)":[47],"(iMARS)":[49],"for":[50,94],"accelerating":[51],"filtering":[53],"ranking":[55],"stages":[56],"deep":[58],"neural":[59],"network-based":[60],"iMARS":[62,81],"leverages":[63],"IMC-friendly":[64],"implemented":[67],"inside":[68],"a":[69],"ferroelectric":[70],"FET":[71],"IMC":[73],"fabric.":[74],"Circuit-level":[75],"system-level":[77],"evaluation":[78],"show":[79],"that":[80],"achieves":[82],"16.8x":[83],"(713x)":[84],"end-to-end":[85],"latency":[86],"(energy)":[87],"improvement":[88],"compared":[89],"GPU":[92],"counterpart":[93],"MovieLens":[96],"dataset.":[97]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2022-08-25T00:00:00"}
