{"id":"https://openalex.org/W2612196060","doi":"https://doi.org/10.1145/3035918.3035962","title":"Template Skycube Algorithms for Heterogeneous Parallelism on Multicore and GPU Architectures","display_name":"Template Skycube Algorithms for Heterogeneous Parallelism on Multicore and GPU Architectures","publication_year":2017,"publication_date":"2017-05-09","ids":{"openalex":"https://openalex.org/W2612196060","doi":"https://doi.org/10.1145/3035918.3035962","mag":"2612196060"},"language":"en","primary_location":{"id":"doi:10.1145/3035918.3035962","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3035918.3035962","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 ACM International Conference on Management of Data","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/A5043671238","display_name":"Kenneth S. B\u00f8gh","orcid":null},"institutions":[{"id":"https://openalex.org/I204337017","display_name":"Aarhus University","ror":"https://ror.org/01aj84f44","country_code":"DK","type":"education","lineage":["https://openalex.org/I204337017"]}],"countries":["DK"],"is_corresponding":true,"raw_author_name":"Kenneth S. B\u00f8gh","raw_affiliation_strings":["Aarhus University, Aarhus, Denmark"],"affiliations":[{"raw_affiliation_string":"Aarhus University, Aarhus, Denmark","institution_ids":["https://openalex.org/I204337017"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026802396","display_name":"Sean Chester","orcid":"https://orcid.org/0000-0002-1065-605X"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Sean Chester","raw_affiliation_strings":["Norwegian University of Science and Technology, Trondheim, Norway"],"affiliations":[{"raw_affiliation_string":"Norwegian University of Science and Technology, Trondheim, Norway","institution_ids":["https://openalex.org/I204778367"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081895151","display_name":"Darius \u0160idlauskas","orcid":null},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Darius \u0160idlauskas","raw_affiliation_strings":["\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland"],"affiliations":[{"raw_affiliation_string":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104360871","display_name":"Ira Assent","orcid":"https://orcid.org/0000-0002-1091-9948"},"institutions":[{"id":"https://openalex.org/I204337017","display_name":"Aarhus University","ror":"https://ror.org/01aj84f44","country_code":"DK","type":"education","lineage":["https://openalex.org/I204337017"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Ira Assent","raw_affiliation_strings":["Aarhus University, Aarhus, Denmark"],"affiliations":[{"raw_affiliation_string":"Aarhus University, Aarhus, Denmark","institution_ids":["https://openalex.org/I204337017"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5043671238"],"corresponding_institution_ids":["https://openalex.org/I204337017"],"apc_list":null,"apc_paid":null,"fwci":1.1095,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.78203271,"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":"447","last_page":"462"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9988999962806702,"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":0.9988999962806702,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9961000084877014,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.995199978351593,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.8318331241607666},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.825100302696228},{"id":"https://openalex.org/keywords/multi-core-processor","display_name":"Multi-core processor","score":0.7789034843444824},{"id":"https://openalex.org/keywords/parallelism","display_name":"Parallelism (grammar)","score":0.7051513195037842},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.4914606809616089},{"id":"https://openalex.org/keywords/data-parallelism","display_name":"Data parallelism","score":0.46112555265426636},{"id":"https://openalex.org/keywords/task-parallelism","display_name":"Task parallelism","score":0.45418089628219604},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.41443613171577454},{"id":"https://openalex.org/keywords/general-purpose-computing-on-graphics-processing-units","display_name":"General-purpose computing on graphics processing units","score":0.41231870651245117},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.12579718232154846},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.10761076211929321}],"concepts":[{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.8318331241607666},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.825100302696228},{"id":"https://openalex.org/C78766204","wikidata":"https://www.wikidata.org/wiki/Q555032","display_name":"Multi-core processor","level":2,"score":0.7789034843444824},{"id":"https://openalex.org/C2781172179","wikidata":"https://www.wikidata.org/wiki/Q853109","display_name":"Parallelism (grammar)","level":2,"score":0.7051513195037842},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.4914606809616089},{"id":"https://openalex.org/C61483411","wikidata":"https://www.wikidata.org/wiki/Q3124522","display_name":"Data parallelism","level":3,"score":0.46112555265426636},{"id":"https://openalex.org/C42992933","wikidata":"https://www.wikidata.org/wiki/Q691169","display_name":"Task parallelism","level":3,"score":0.45418089628219604},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.41443613171577454},{"id":"https://openalex.org/C50630238","wikidata":"https://www.wikidata.org/wiki/Q971505","display_name":"General-purpose computing on graphics processing units","level":3,"score":0.41231870651245117},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.12579718232154846},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.10761076211929321}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3035918.3035962","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3035918.3035962","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 ACM International Conference on Management of Data","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/a49ae0b7-c80e-46c8-9abe-a45011136e93","is_oa":false,"landing_page_url":"https://pure.au.dk/portal/en/publications/a49ae0b7-c80e-46c8-9abe-a45011136e93","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"B\u00f8gh, K S, Chester, S, Sidlauskas, D & Assent, I 2017, Template Skycube Algorithms for Heterogeneous Parallelism on Multicore and GPU Architectures. in SIGMOD 2017 - Proceedings of the 2017 ACM International Conference on Management of Data. Association for Computing Machinery, ACM New York, NY, USA, pp. 447-462, ACM International Conference on Management of Data, Chicago, Illinois, United States, 14/05/2017. https://doi.org/10.1145/3035918.3035962","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6700000166893005,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G1770549665","display_name":null,"funder_award_id":"240101","funder_id":"https://openalex.org/F4320323299","funder_display_name":"Norges Forskningsr\u00e5d"},{"id":"https://openalex.org/G8461070813","display_name":null,"funder_award_id":"10-09231","funder_id":"https://openalex.org/F4320309756","funder_display_name":"Strategiske Forskningsr\u00e5d"}],"funders":[{"id":"https://openalex.org/F4320309756","display_name":"Strategiske Forskningsr\u00e5d","ror":"https://ror.org/03ge1nb22"},{"id":"https://openalex.org/F4320323299","display_name":"Norges Forskningsr\u00e5d","ror":"https://ror.org/00epmv149"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W56939533","https://openalex.org/W106195581","https://openalex.org/W768171911","https://openalex.org/W1594437406","https://openalex.org/W1649645444","https://openalex.org/W1965745537","https://openalex.org/W1970634997","https://openalex.org/W1973236871","https://openalex.org/W1991859582","https://openalex.org/W2004796840","https://openalex.org/W2014180767","https://openalex.org/W2015316613","https://openalex.org/W2015471587","https://openalex.org/W2021217378","https://openalex.org/W2033185510","https://openalex.org/W2040490653","https://openalex.org/W2052213323","https://openalex.org/W2055774867","https://openalex.org/W2066205889","https://openalex.org/W2077780773","https://openalex.org/W2110053126","https://openalex.org/W2115658433","https://openalex.org/W2124742991","https://openalex.org/W2127782281","https://openalex.org/W2130696419","https://openalex.org/W2131103246","https://openalex.org/W2131389904","https://openalex.org/W2138773539","https://openalex.org/W2145342716","https://openalex.org/W2147035797","https://openalex.org/W2158510343","https://openalex.org/W2159287299","https://openalex.org/W2165035264","https://openalex.org/W2166583424","https://openalex.org/W2170188482","https://openalex.org/W2171717425","https://openalex.org/W2212817912","https://openalex.org/W2276395270","https://openalex.org/W2440046523","https://openalex.org/W2468496449","https://openalex.org/W2517510740","https://openalex.org/W6604322168","https://openalex.org/W6682302152"],"related_works":["https://openalex.org/W2950520577","https://openalex.org/W1501159154","https://openalex.org/W2003935582","https://openalex.org/W74409296","https://openalex.org/W1554644772","https://openalex.org/W2494130044","https://openalex.org/W2468095077","https://openalex.org/W29548032","https://openalex.org/W2593878938","https://openalex.org/W305742777"],"abstract_inverted_index":{"Multicore":[0],"CPUs":[1],"and":[2,27,84,101,133,147],"cheap":[3],"co-processors":[4,36],"such":[5],"as":[6,150],"GPUs":[7,152],"create":[8,52],"opportunities":[9],"for":[10,37],"vastly":[11],"accelerating":[12],"database":[13],"queries.":[14],"However,":[15],"given":[16],"the":[17,62,68,122],"differences":[18],"in":[19,81],"their":[20],"threading":[21],"models,":[22],"expected":[23],"granularities":[24],"of":[25,66,72,141],"parallelism,":[26],"memory":[28,132],"subsystems,":[29],"effectively":[30],"utilising":[31],"all":[32,35],"cores":[33],"with":[34],"an":[38,139],"intensive":[39],"query":[40,76],"is":[41],"very":[42,63],"difficult.":[43],"This":[44],"paper":[45],"introduces":[46],"a":[47,70,102,106],"novel":[48,107],"templating":[49],"methodology":[50,60],"to":[51,110,121,130],"portable,":[53],"yet":[54],"architecture-aware,":[55],"algorithms.":[56],"We":[57,88],"apply":[58],"this":[59],"on":[61,144],"compute-intensive":[64],"task":[65],"calculating":[67],"*skycube*,":[69],"materialisation":[71],"exponentially":[73],"many":[74],"skyline":[75],"results,":[77],"which":[78],"finds":[79],"applications":[80],"data":[82,113],"exploration":[83],"multi-criteria":[85],"decision":[86],"making.":[87],"define":[89],"three":[90],"parallel":[91],"templates,":[92],"two":[93],"that":[94,104,124],"leverage":[95],"insights":[96],"from":[97],"previous":[98],"skycube":[99],"research":[100],"third":[103],"exploits":[105],"point-based":[108],"paradigm":[109],"expose":[111],"more":[112,151],"parallelism.":[114],"An":[115],"experimental":[116],"study":[117],"shows":[118],"that,":[119],"relative":[120],"state-of-the-art":[123],"does":[125],"not":[126],"parallelise":[127],"well":[128],"due":[129],"its":[131],"cache":[134],"requirements,":[135],"our":[136],"algorithms":[137],"provide":[138],"order":[140],"magnitude":[142],"improvement":[143],"either":[145],"architecture":[146],"proportionately":[148],"improve":[149],"are":[153],"added.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
