{"id":"https://openalex.org/W2018708251","doi":"https://doi.org/10.1145/2818950.2818984","title":"NCAM","display_name":"NCAM","publication_year":2015,"publication_date":"2015-10-05","ids":{"openalex":"https://openalex.org/W2018708251","doi":"https://doi.org/10.1145/2818950.2818984","mag":"2018708251"},"language":"en","primary_location":{"id":"doi:10.1145/2818950.2818984","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2818950.2818984","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 International Symposium on Memory Systems","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/A5073050611","display_name":"Carlo C. Del Mundo","orcid":null},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Carlo C. del Mundo","raw_affiliation_strings":["University of Washington"],"affiliations":[{"raw_affiliation_string":"University of Washington","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102925500","display_name":"Vincent T. Lee","orcid":"https://orcid.org/0000-0001-7440-0291"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vincent T. Lee","raw_affiliation_strings":["University of Washington"],"affiliations":[{"raw_affiliation_string":"University of Washington","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081914923","display_name":"Lu\u00eds Ceze","orcid":"https://orcid.org/0000-0002-1377-6217"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Luis Ceze","raw_affiliation_strings":["University of Washington"],"affiliations":[{"raw_affiliation_string":"University of Washington","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063231555","display_name":"Mark Oskin","orcid":null},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mark Oskin","raw_affiliation_strings":["University of Washington"],"affiliations":[{"raw_affiliation_string":"University of Washington","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5073050611"],"corresponding_institution_ids":["https://openalex.org/I201448701"],"apc_list":null,"apc_paid":null,"fwci":0.9205,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.81886704,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"274","last_page":"275"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9959999918937683,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8452796936035156},{"id":"https://openalex.org/keywords/memory-bandwidth","display_name":"Memory bandwidth","score":0.5609365105628967},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.5411436557769775},{"id":"https://openalex.org/keywords/content-addressable-memory","display_name":"Content-addressable memory","score":0.5287993550300598},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.49534502625465393},{"id":"https://openalex.org/keywords/high-memory","display_name":"High memory","score":0.4548807740211487},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.43053802847862244},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.42844194173812866},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.40787985920906067},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3502121567726135},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3236522674560547},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.19365110993385315},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.12409165501594543}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8452796936035156},{"id":"https://openalex.org/C188045654","wikidata":"https://www.wikidata.org/wiki/Q17148339","display_name":"Memory bandwidth","level":2,"score":0.5609365105628967},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.5411436557769775},{"id":"https://openalex.org/C53442348","wikidata":"https://www.wikidata.org/wiki/Q745101","display_name":"Content-addressable memory","level":3,"score":0.5287993550300598},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.49534502625465393},{"id":"https://openalex.org/C2781357197","wikidata":"https://www.wikidata.org/wiki/Q5757597","display_name":"High memory","level":2,"score":0.4548807740211487},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.43053802847862244},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.42844194173812866},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.40787985920906067},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3502121567726135},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3236522674560547},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.19365110993385315},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.12409165501594543},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2818950.2818984","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2818950.2818984","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 International Symposium on Memory Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5299999713897705}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1593040460","https://openalex.org/W2078129387","https://openalex.org/W2084363474","https://openalex.org/W2086504823","https://openalex.org/W2098217949","https://openalex.org/W2122122381","https://openalex.org/W2163446794"],"related_works":["https://openalex.org/W2077105843","https://openalex.org/W2770465587","https://openalex.org/W2086716781","https://openalex.org/W4243474409","https://openalex.org/W2993780376","https://openalex.org/W2022510519","https://openalex.org/W2607256436","https://openalex.org/W2114927422","https://openalex.org/W2528745529","https://openalex.org/W1966777863"],"abstract_inverted_index":{"Emerging":[0],"classes":[1],"of":[2,15,62,84,88],"computer":[3,55],"vision":[4],"applications":[5],"demand":[6],"unprecedented":[7],"computational":[8],"resources":[9],"and":[10,39,49,98],"operate":[11],"on":[12],"large":[13],"amounts":[14],"data.":[16],"In":[17],"particular,":[18],"k-nearest":[19,74],"neighbors":[20],"(kNN),":[21],"a":[22,59],"cornerstone":[23],"algorithm":[24],"in":[25],"these":[26],"applications,":[27],"incurs":[28],"significant":[29],"data":[30],"movement.":[31],"To":[32,52],"address":[33,46],"this":[34],"challenge,":[35],"the":[36,82,91],"underlying":[37],"architecture":[38],"memory":[40,47,71],"subsystems":[41],"must":[42],"vertically":[43],"evolve":[44],"to":[45,72],"bandwidth":[48],"compute":[50],"demands.":[51],"enable":[53],"large-scale":[54],"vision,":[56],"we":[57],"propose":[58],"new":[60],"class":[61],"associative":[63],"memories":[64],"called":[65],"NCAMs":[66,79],"which":[67],"encapsulate":[68],"logic":[69],"with":[70],"accelerate":[73],"neighbors.":[75],"We":[76],"estimate":[77],"that":[78],"can":[80],"improve":[81],"performance":[83],"kNN":[85],"by":[86],"orders":[87],"magnitude":[89],"over":[90],"best":[92],"off-the-shelf":[93],"software":[94],"libraries":[95],"(e.g.,":[96,101],"FLANN)":[97],"commodity":[99],"platforms":[100],"GPUs).":[102]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}
