{"id":"https://openalex.org/W3083239468","doi":"https://doi.org/10.1145/3386263.3406896","title":"TUPIM: A Transparent and Universal Processing-in-Memory Architecture for Unmodified Binaries","display_name":"TUPIM: A Transparent and Universal Processing-in-Memory Architecture for Unmodified Binaries","publication_year":2020,"publication_date":"2020-09-04","ids":{"openalex":"https://openalex.org/W3083239468","doi":"https://doi.org/10.1145/3386263.3406896","mag":"3083239468"},"language":"en","primary_location":{"id":"doi:10.1145/3386263.3406896","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3386263.3406896","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 on Great Lakes Symposium on VLSI","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/A5101953185","display_name":"Sheng Xu","orcid":"https://orcid.org/0000-0002-9620-2293"},"institutions":[{"id":"https://openalex.org/I165859042","display_name":"Huaibei Normal University","ror":"https://ror.org/03ek23472","country_code":"CN","type":"education","lineage":["https://openalex.org/I165859042"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4472751","display_name":"Anhui Normal University","ror":"https://ror.org/05fsfvw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I4472751"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Sheng Xu","raw_affiliation_strings":["Anhui Normal University & Institute of Computing Technology, Chinese Academy of Sciences, hefei, China"],"affiliations":[{"raw_affiliation_string":"Anhui Normal University & Institute of Computing Technology, Chinese Academy of Sciences, hefei, China","institution_ids":["https://openalex.org/I4472751","https://openalex.org/I4210090176","https://openalex.org/I165859042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042100389","display_name":"Xiaoming Chen","orcid":"https://orcid.org/0000-0003-3151-1690"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoming Chen","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047215143","display_name":"Xuehai Qian","orcid":null},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xuehai Qian","raw_affiliation_strings":["University of Southern California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016864694","display_name":"Yinhe Han","orcid":"https://orcid.org/0000-0003-0904-6681"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinhe Han","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101953185"],"corresponding_institution_ids":["https://openalex.org/I165859042","https://openalex.org/I4210090176","https://openalex.org/I4472751"],"apc_list":null,"apc_paid":null,"fwci":0.411,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.61349911,"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":"199","last_page":"204"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9998000264167786,"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":0.9998000264167786,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9997000098228455,"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9994000196456909,"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":0.7635335326194763},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.6265629529953003},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.5198507905006409},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.34341681003570557},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.3288276195526123}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7635335326194763},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.6265629529953003},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.5198507905006409},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.34341681003570557},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.3288276195526123},{"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:10.1145/3386263.3406896","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3386263.3406896","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 on Great Lakes Symposium on VLSI","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1974607091","https://openalex.org/W1975274780","https://openalex.org/W1981943579","https://openalex.org/W2072918769","https://openalex.org/W2086112773","https://openalex.org/W2093524602","https://openalex.org/W2131908112","https://openalex.org/W2147657366","https://openalex.org/W2153185479","https://openalex.org/W2170585292","https://openalex.org/W2414912620","https://openalex.org/W2545376626","https://openalex.org/W2611106620","https://openalex.org/W2612654866","https://openalex.org/W2766489088","https://openalex.org/W2794532328","https://openalex.org/W2795118915","https://openalex.org/W2798370135","https://openalex.org/W2887018074","https://openalex.org/W2904405156","https://openalex.org/W2910287116","https://openalex.org/W2950656546","https://openalex.org/W4292564261"],"related_works":["https://openalex.org/W1819952937","https://openalex.org/W1601407282","https://openalex.org/W2382986841","https://openalex.org/W2354060507","https://openalex.org/W2382623646","https://openalex.org/W2972850838","https://openalex.org/W1505619784","https://openalex.org/W2383828164","https://openalex.org/W396164270","https://openalex.org/W1591122270"],"abstract_inverted_index":{"Recently,":[0],"processing-in-memory":[1],"(PIM)":[2],"is":[3,63,103],"gaining":[4],"much":[5],"attention":[6],"because":[7,110],"it":[8,62,111],"could":[9],"minimize":[10],"data":[11],"movement":[12],"by":[13],"conducting":[14],"computation":[15],"in":[16],"memory.":[17],"Existing":[18],"PIM":[19,52,70,82,86,117],"solutions":[20],"require":[21],"a":[22,78,84,104],"number":[23],"of":[24,100,116],"additional":[25],"procedures":[26],"during":[27],"the":[28,95,108,114],"setup-time,":[29],"including":[30],"code":[31,35],"re-writing":[32],"and":[33,37,80,93,144],"re-compiling,":[34],"annotations,":[36],"detailed":[38],"program":[39],"profiling,":[40],"etc.":[41],"These":[42],"requirements,":[43],"however,":[44],"potentially":[45],"prevent":[46],"existing":[47,69],"executable":[48],"binaries":[49,92],"benefiting":[50],"from":[51],"architectures.":[53,71],"For":[54],"old":[55],"binary":[56],"legacies":[57],"without":[58,122],"any":[59,123],"source":[60,124],"code,":[61,125],"impossible":[64],"to":[65,118,142],"run":[66],"them":[67],"on":[68,139],"To":[72],"solve":[73],"these":[74],"challenges,":[75],"we":[76],"propose":[77],"transparent":[79],"universal":[81],"(TUPIM),":[83],"novel":[85],"architecture":[87],"that":[88,133],"can":[89,135],"execute":[90],"unmodified":[91],"at":[94],"same":[96],"time":[97],"take":[98],"advantages":[99],"PIM.":[101],"TUPIM":[102,134],"significant":[105],"advance":[106],"over":[107],"state-of-the-art":[109],"transparently":[112],"expends":[113],"scope":[115],"deploy":[119],"all":[120],"applications":[121],"programming":[126],"models,":[127],"or":[128],"compiler":[129],"modifications.":[130],"Experiments":[131],"show":[132],"get":[136],"2.2x":[137],"speedup":[138],"average":[140],"(up":[141],"3.67x)":[143],"15.7%":[145],"energy":[146],"reduction,":[147],"compared":[148],"with":[149],"conventional":[150],"CPU-only":[151],"executions.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}