{"id":"https://openalex.org/W2049083698","doi":"https://doi.org/10.1109/tc.1980.1675490","title":"Magnetic Bubble Memory Architectures for Supporting Associative Searching of Relational Databases","display_name":"Magnetic Bubble Memory Architectures for Supporting Associative Searching of Relational Databases","publication_year":1980,"publication_date":"1980-11-01","ids":{"openalex":"https://openalex.org/W2049083698","doi":"https://doi.org/10.1109/tc.1980.1675490","mag":"2049083698"},"language":"en","primary_location":{"id":"doi:10.1109/tc.1980.1675490","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tc.1980.1675490","pdf_url":null,"source":{"id":"https://openalex.org/S157670870","display_name":"IEEE Transactions on Computers","issn_l":"0018-9340","issn":["0018-9340","1557-9956","2326-3814"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computers","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/A5112623929","display_name":"Doty","orcid":null},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Doty","raw_affiliation_strings":["Department of Electrical Engineering, University of Florida","Department of Electrical Engineering, University of Florida, Gainesville, FL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Florida","institution_ids":["https://openalex.org/I33213144"]},{"raw_affiliation_string":"Department of Electrical Engineering, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5098457300","display_name":"Greenblatt","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Greenblatt","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5113698154","display_name":"Stanley Y. W. Su","orcid":null},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stanley Y.W. Su","raw_affiliation_strings":["Department of Electrical Engineering, University of Florida, Gainesville, FL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5112623929"],"corresponding_institution_ids":["https://openalex.org/I33213144"],"apc_list":null,"apc_paid":null,"fwci":1.3247,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.83291956,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"C-29","issue":"11","first_page":"957","last_page":"970"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9991000294685364,"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/T11106","display_name":"Data Management and Algorithms","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11269","display_name":"Algorithms and Data Compression","score":0.9843999743461609,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.7022379636764526},{"id":"https://openalex.org/keywords/bubble","display_name":"Bubble","score":0.6785327196121216},{"id":"https://openalex.org/keywords/content-addressable-memory","display_name":"Content-addressable memory","score":0.5992245078086853},{"id":"https://openalex.org/keywords/minor","display_name":"Minor (academic)","score":0.5311034321784973},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.4247766435146332},{"id":"https://openalex.org/keywords/loop","display_name":"Loop (graph theory)","score":0.41376882791519165},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.412354052066803},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.37313205003738403},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32473230361938477},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2132563591003418},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20507362484931946},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.0995604395866394}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7022379636764526},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.6785327196121216},{"id":"https://openalex.org/C53442348","wikidata":"https://www.wikidata.org/wiki/Q745101","display_name":"Content-addressable memory","level":3,"score":0.5992245078086853},{"id":"https://openalex.org/C2779760435","wikidata":"https://www.wikidata.org/wiki/Q5396169","display_name":"Minor (academic)","level":2,"score":0.5311034321784973},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.4247766435146332},{"id":"https://openalex.org/C184670325","wikidata":"https://www.wikidata.org/wiki/Q512604","display_name":"Loop (graph theory)","level":2,"score":0.41376882791519165},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.412354052066803},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.37313205003738403},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32473230361938477},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2132563591003418},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20507362484931946},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0995604395866394},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tc.1980.1675490","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tc.1980.1675490","pdf_url":null,"source":{"id":"https://openalex.org/S157670870","display_name":"IEEE Transactions on Computers","issn_l":"0018-9340","issn":["0018-9340","1557-9956","2326-3814"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W98462957","https://openalex.org/W1547687562","https://openalex.org/W1976427166","https://openalex.org/W2021387229","https://openalex.org/W2026723463","https://openalex.org/W2026731931","https://openalex.org/W2040801968","https://openalex.org/W2052177181","https://openalex.org/W2063726228","https://openalex.org/W2066637274","https://openalex.org/W2078821936","https://openalex.org/W2084455637","https://openalex.org/W2094098584","https://openalex.org/W2100862366","https://openalex.org/W2104819513","https://openalex.org/W2106421137","https://openalex.org/W2149213121","https://openalex.org/W2313469048","https://openalex.org/W6604051498"],"related_works":["https://openalex.org/W2467936747","https://openalex.org/W2368619281","https://openalex.org/W2377143628","https://openalex.org/W2355995962","https://openalex.org/W2392462513","https://openalex.org/W2362718971","https://openalex.org/W2368173763","https://openalex.org/W2977970519","https://openalex.org/W191560551","https://openalex.org/W2075931614"],"abstract_inverted_index":{"A":[0,84],"memory":[1,173],"organized":[2],"around":[3],"a":[4,51,119,125,146,161],"major/minor":[5,99,164],"loop":[6,67,100,131,165],"magnetic":[7,171],"bubble":[8,57,82,101,172],"storage":[9],"unit":[10],"contains":[11],"database":[12],"information":[13],"in":[14,34,80,176],"relational":[15,177],"form.":[16],"An":[17,151],"external":[18],"marker":[19],"memory,":[20],"consisting":[21],"of":[22,50,61,77,87,107,128,149,156,183],"an":[23,28,37,41,97,181],"M-bit":[24],"shift":[25],"register":[26],"or":[27],"M":[29,63],"X":[30],"1":[31],"RAM,":[32],"provides,":[33],"conjunction":[35],"with":[36],"assumed":[38],"processing":[39,179],"element,":[40],"associative":[42],"search":[43,48],"capability.":[44],"Each":[45],"bit":[46],"accumulates":[47],"results":[49],"query":[52],"applied":[53,95],"to":[54,96,103],"its":[55],"corresponding":[56],"page.":[58],"The":[59],"number":[60,76],"pages":[62,138],"equals":[64,74],"the":[65,71,75,81,105,129,136,140],"minor":[66,78,130],"length":[68,132],"and":[69,91,153],"N,":[70],"page":[72,121],"size,":[73],"loops":[79],"memory.":[83],"systematic":[85],"series":[86],"performance-improving":[88],"access":[89,123],"strategies":[90],"architectural":[92],"modifications":[93],"are":[94],"existing":[98],"device":[102],"determine":[104],"effects":[106],"each":[108],"change.":[109],"In":[110],"all":[111],"cases":[112],"data":[113,178],"access-time":[114],"formulas":[115],"reveal":[116],"that":[117,160],"positioning":[118],"marked":[120,137],"for":[122],"is":[124,145],"linear":[126],"function":[127,148,167],"M,":[133],"while":[134],"outputting":[135],"via":[139],"bubbles":[141],"serial":[142],"output":[143],"bus":[144],"quadratic":[147],"M.":[150],"evaluation":[152],"relative":[154],"comparison":[155],"these":[157],"architectures":[158],"indicate":[159],"segmented,":[162],"nondestructive":[163],"transfer":[166],"can":[168],"enhance":[169],"current":[170],"(MBM)":[174],"performance":[175],"by":[180],"order":[182],"magnitude.":[184]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}