{"id":"https://openalex.org/W2788032495","doi":"https://doi.org/10.1145/3174243.3174961","title":"Continuous Skyline Computation Accelerator with Parallelizing Dominance Relation Calculations","display_name":"Continuous Skyline Computation Accelerator with Parallelizing Dominance Relation Calculations","publication_year":2018,"publication_date":"2018-02-15","ids":{"openalex":"https://openalex.org/W2788032495","doi":"https://doi.org/10.1145/3174243.3174961","mag":"2788032495"},"language":"en","primary_location":{"id":"doi:10.1145/3174243.3174961","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3174243.3174961","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays","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/A5101488178","display_name":"Kenichi Koizumi","orcid":"https://orcid.org/0000-0003-3160-0474"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kenichi Koizumi","raw_affiliation_strings":["University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112110720","display_name":"Kei Hiraki","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kei Hiraki","raw_affiliation_strings":["University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110389490","display_name":"Mary Inaba","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mary Inaba","raw_affiliation_strings":["University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101488178"],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01160247,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"285","last_page":"285"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9973000288009644,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9973000288009644,"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/T13854","display_name":"Historical Geography and Cartography","score":0.9739999771118164,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9688000082969666,"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/skyline","display_name":"Skyline","score":0.9564889669418335},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7832010984420776},{"id":"https://openalex.org/keywords/tree-traversal","display_name":"Tree traversal","score":0.7420943975448608},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.6063784956932068},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5499593019485474},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5476459860801697},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5284780263900757},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.41596466302871704},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.39059752225875854},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35690027475357056},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2533149719238281},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11525136232376099}],"concepts":[{"id":"https://openalex.org/C2780757406","wikidata":"https://www.wikidata.org/wiki/Q465837","display_name":"Skyline","level":2,"score":0.9564889669418335},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7832010984420776},{"id":"https://openalex.org/C140745168","wikidata":"https://www.wikidata.org/wiki/Q1210082","display_name":"Tree traversal","level":2,"score":0.7420943975448608},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.6063784956932068},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5499593019485474},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5476459860801697},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5284780263900757},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.41596466302871704},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.39059752225875854},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35690027475357056},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2533149719238281},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11525136232376099},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3174243.3174961","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3174243.3174961","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2317245370","https://openalex.org/W4249323025","https://openalex.org/W198851386","https://openalex.org/W2030310580","https://openalex.org/W947442053","https://openalex.org/W1980160788","https://openalex.org/W2148915962","https://openalex.org/W2283866686","https://openalex.org/W4287182096","https://openalex.org/W27867058"],"abstract_inverted_index":{"Skyline":[0,39],"Computation":[1],"is":[2,41,72,80,124,248],"a":[3,10,67,74,113,128,153,193],"method":[4],"for":[5,45,85,94,132,240],"extracting":[6],"interesting":[7,53],"entries":[8,54,151],"from":[9],"large":[11,47],"population":[12,60],"with":[13,55,136,223],"multiple":[14],"attributes.":[15],"These":[16],"entries,":[17,23,96],"called":[18,73,142],"skyline":[19,70,76,102,119,133,179,198],"or":[20,109],"Pareto":[21],"optimal":[22],"are":[24],"known":[25,81],"to":[26,82,126,161,164,234,250],"have":[27],"extreme":[28,56],"characteristics":[29],"that":[30,149,210],"cannot":[31],"be":[32,83,92,217],"found":[33,233],"by":[34],"using":[35,152],"outlier":[36],"detection":[37],"methods.":[38],"computation":[40,134,180],"an":[42,206,224],"important":[43],"task":[44,64,79],"characterizing":[46],"amounts":[48],"of":[49,65,69,111,189],"data":[50],"and":[51,121,168,196,208,214,242],"selecting":[52],"features.":[57],"When":[58],"the":[59,63,86,101,104,107,118,159,175,187,197,236,254],"changes":[61],"dynamically,":[62],"calculating":[66],"sequence":[68],"sets":[71],"continuous":[75,178],"computation.":[77],"This":[78],"difficult":[84,125],"following":[87],"reasons:":[88],"(1)":[89],"information":[90],"must":[91],"kept":[93],"non-skyline":[95],"since":[97],"they":[98],"may":[99],"join":[100],"in":[103],"future;":[105],"(2)":[106],"appearance":[108],"disappearance":[110],"even":[112],"single":[114],"entry":[115,195],"can":[116,216],"change":[117],"drastically;":[120],"(3)":[122],"it":[123,231],"adopt":[127],"geometric":[129],"acceleration":[130,181],"algorithm":[131,185,204],"tasks":[135],"high-dimensional":[137],"datasets.":[138,244],"A":[139],"new":[140],"algorithm,":[141],"jointed":[143],"rooted-tree":[144,154],"(JR-tree),":[145],"has":[146],"been":[147],"developed":[148],"manages":[150],"structure.":[155],"JR-tree":[156,176],"delays":[157],"extend":[158],"tree":[160,166,212],"deeper":[162],"levels":[163],"accelerate":[165],"construction":[167,213],"traversal.":[169],"In":[170],"this":[171],"study,":[172],"we":[173],"propose":[174],"based":[177],"algorithm.":[182],"Our":[183,245],"hardware":[184,203,246],"parallelizes":[186],"calculations":[188],"dominance":[190],"relation":[191],"between":[192],"target":[194],"entries.":[199],"We":[200],"implemented":[201],"our":[202,220],"on":[205],"FPGA":[207],"showed":[209],"high-speed":[211],"traversal":[215],"realized.":[218],"Comparing":[219],"FPGA-based":[221],"implementation":[222,247],"Intel":[225],"CPU":[226],"running":[227],"state-of-the-art":[228],"software":[229,255],"algorithms,":[230],"was":[232],"reduce":[235],"query":[237],"processing":[238],"time":[239],"synthetic":[241],"real-world":[243],"1.7x":[249],"35x":[251],"faster":[252],"than":[253],"implementations.":[256]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}