{"id":"https://openalex.org/W2766885499","doi":"https://doi.org/10.1145/3123939.3123985","title":"A many-core architecture for in-memory data processing","display_name":"A many-core architecture for in-memory data processing","publication_year":2017,"publication_date":"2017-10-14","ids":{"openalex":"https://openalex.org/W2766885499","doi":"https://doi.org/10.1145/3123939.3123985","mag":"2766885499"},"language":"en","primary_location":{"id":"doi:10.1145/3123939.3123985","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3123939.3123985","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 50th Annual IEEE/ACM International Symposium on Microarchitecture","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/A5059248852","display_name":"Sandeep Agrawal","orcid":"https://orcid.org/0000-0001-9001-4411"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sandeep R Agrawal","raw_affiliation_strings":["Oracle Labs"],"affiliations":[{"raw_affiliation_string":"Oracle Labs","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040126908","display_name":"Sam Idicula","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sam Idicula","raw_affiliation_strings":["Oracle Labs"],"affiliations":[{"raw_affiliation_string":"Oracle Labs","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006977915","display_name":"Arun Raghavan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Arun Raghavan","raw_affiliation_strings":["Oracle Labs"],"affiliations":[{"raw_affiliation_string":"Oracle Labs","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025409993","display_name":"Evangelos Vlachos","orcid":"https://orcid.org/0000-0003-1501-0722"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Evangelos Vlachos","raw_affiliation_strings":["Oracle Labs"],"affiliations":[{"raw_affiliation_string":"Oracle Labs","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076157365","display_name":"Venkatraman Govindaraju","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Venkatraman Govindaraju","raw_affiliation_strings":["Oracle Labs"],"affiliations":[{"raw_affiliation_string":"Oracle Labs","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112347457","display_name":"Venkatanathan Varadarajan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Venkatanathan Varadarajan","raw_affiliation_strings":["Oracle Labs"],"affiliations":[{"raw_affiliation_string":"Oracle Labs","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080323905","display_name":"\u00c7agri Balkesen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cagri Balkesen","raw_affiliation_strings":["Oracle Labs"],"affiliations":[{"raw_affiliation_string":"Oracle Labs","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037802216","display_name":"Georgios Giannikis","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Georgios Giannikis","raw_affiliation_strings":["Oracle Labs"],"affiliations":[{"raw_affiliation_string":"Oracle Labs","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079176982","display_name":"Charlie Roth","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Charlie Roth","raw_affiliation_strings":["Oracle Labs"],"affiliations":[{"raw_affiliation_string":"Oracle Labs","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112901829","display_name":"Nipun Agarwal","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nipun Agarwal","raw_affiliation_strings":["Oracle Labs"],"affiliations":[{"raw_affiliation_string":"Oracle Labs","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032299527","display_name":"Eric Sedlar","orcid":"https://orcid.org/0009-0007-1334-6317"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eric Sedlar","raw_affiliation_strings":["Oracle Labs"],"affiliations":[{"raw_affiliation_string":"Oracle Labs","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":11,"corresponding_author_ids":["https://openalex.org/A5059248852"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.4665,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.942741,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"245","last_page":"258"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9994000196456909,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.998199999332428,"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9970999956130981,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7552400231361389},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.6017165184020996},{"id":"https://openalex.org/keywords/memory-bandwidth","display_name":"Memory bandwidth","score":0.5310201048851013},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.5039781928062439},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.49442100524902344},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.47792965173721313},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.44824063777923584},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.44226619601249695},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.3099082112312317},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12233692407608032},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.11183536052703857}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7552400231361389},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.6017165184020996},{"id":"https://openalex.org/C188045654","wikidata":"https://www.wikidata.org/wiki/Q17148339","display_name":"Memory bandwidth","level":2,"score":0.5310201048851013},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.5039781928062439},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.49442100524902344},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.47792965173721313},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.44824063777923584},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.44226619601249695},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.3099082112312317},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12233692407608032},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.11183536052703857},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3123939.3123985","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3123939.3123985","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 50th Annual IEEE/ACM International Symposium on Microarchitecture","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8700000047683716,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W784772322","https://openalex.org/W1529464143","https://openalex.org/W1966831051","https://openalex.org/W1981163618","https://openalex.org/W1998092191","https://openalex.org/W2005731313","https://openalex.org/W2006552857","https://openalex.org/W2009553719","https://openalex.org/W2020733012","https://openalex.org/W2048266589","https://openalex.org/W2059226577","https://openalex.org/W2059807497","https://openalex.org/W2066443755","https://openalex.org/W2066636486","https://openalex.org/W2074041401","https://openalex.org/W2078017054","https://openalex.org/W2082371124","https://openalex.org/W2082964163","https://openalex.org/W2085601491","https://openalex.org/W2086977914","https://openalex.org/W2100846455","https://openalex.org/W2102543317","https://openalex.org/W2102967864","https://openalex.org/W2104846587","https://openalex.org/W2105004615","https://openalex.org/W2107194324","https://openalex.org/W2112678088","https://openalex.org/W2114303224","https://openalex.org/W2116173306","https://openalex.org/W2124222502","https://openalex.org/W2125529470","https://openalex.org/W2128274900","https://openalex.org/W2130660124","https://openalex.org/W2131414141","https://openalex.org/W2132511032","https://openalex.org/W2133156997","https://openalex.org/W2133394135","https://openalex.org/W2137476312","https://openalex.org/W2139475827","https://openalex.org/W2141181087","https://openalex.org/W2142729958","https://openalex.org/W2144857621","https://openalex.org/W2144982963","https://openalex.org/W2149684865","https://openalex.org/W2150478767","https://openalex.org/W2152484003","https://openalex.org/W2153635508","https://openalex.org/W2157838639","https://openalex.org/W2164638305","https://openalex.org/W2170794761","https://openalex.org/W2239894058","https://openalex.org/W2270203991","https://openalex.org/W2285660444","https://openalex.org/W2402144811","https://openalex.org/W2406955896","https://openalex.org/W2516627871","https://openalex.org/W2542189141","https://openalex.org/W2570617923","https://openalex.org/W2950656546","https://openalex.org/W2997451313","https://openalex.org/W3104065274","https://openalex.org/W3120740533","https://openalex.org/W4236936139","https://openalex.org/W4245607618","https://openalex.org/W4245987560","https://openalex.org/W4249271351","https://openalex.org/W4249713879","https://openalex.org/W4285780311"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W2984139344","https://openalex.org/W2077105843","https://openalex.org/W2770465587","https://openalex.org/W2086716781","https://openalex.org/W2022510519"],"abstract_inverted_index":{"For":[0],"many":[1],"years,":[2],"the":[3,19,27,60,99,128],"highest":[4],"energy":[5,17],"cost":[6],"in":[7,22,138],"processing":[8,149],"has":[9],"been":[10],"data":[11,28,50,56,93,148],"movement":[12,94],"rather":[13],"than":[14],"computation,":[15],"and":[16,95],"is":[18,39,71,103],"limiting":[20],"factor":[21],"processor":[23,143],"design":[24,44],"[21].":[25],"As":[26],"needed":[29],"for":[30,48,55,74,92,116],"a":[31,45,66,82,122,134,141,145,152],"single":[32],"application":[33],"grows":[34],"to":[35,43,105,118],"exabytes":[36],"[56],":[37],"there":[38],"clearly":[40],"an":[41],"opportunity":[42],"bandwidth-optimized":[46],"architecture":[47],"big":[49],"computation":[51],"by":[52],"specializing":[53],"hardware":[54,90,124],"movement.":[57],"We":[58],"present":[59],"Data":[61,84],"Processing":[62],"Unit":[63],"or":[64],"DPU,":[65],"shared":[67],"memory":[68,100],"many-core":[69],"that":[70,102],"specifically":[72],"designed":[73],"high":[75],"bandwidth":[76],"analytics":[77],"workloads.":[78],"The":[79,111],"DPU":[80,112,135],"contains":[81],"unique":[83,123],"Movement":[85],"System":[86],"(DMS),":[87],"which":[88],"provides":[89,114],"acceleration":[91,115],"partitioning":[96],"operations":[97],"at":[98],"controller":[101],"sufficient":[104],"keep":[106],"up":[107],"with":[108,140],"DDR":[109],"bandwidth.":[110],"also":[113],"core":[117,119],"communication":[120],"via":[121],"RPC":[125],"mechanism":[126],"called":[127],"Atomic":[129],"Transaction":[130],"Engine.":[131],"Comparison":[132],"of":[133,147],"chip":[136],"fabricated":[137],"40nm":[139],"Xeon":[142],"on":[144],"variety":[146],"applications":[150],"shows":[151],"3\u00d7":[153],"-":[154],"15\u00d7":[155],"performance":[156],"per":[157],"watt":[158],"advantage.":[159]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":3}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}