{"id":"https://openalex.org/W2752862883","doi":"https://doi.org/10.1145/3122948.3122952","title":"Strategies for regular segmented reductions on GPU","display_name":"Strategies for regular segmented reductions on GPU","publication_year":2017,"publication_date":"2017-08-30","ids":{"openalex":"https://openalex.org/W2752862883","doi":"https://doi.org/10.1145/3122948.3122952","mag":"2752862883"},"language":"en","primary_location":{"id":"doi:10.1145/3122948.3122952","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3122948.3122952","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th ACM SIGPLAN International Workshop on Functional High-Performance Computing","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/A5047861721","display_name":"Rasmus W. Larsen","orcid":null},"institutions":[{"id":"https://openalex.org/I124055696","display_name":"University of Copenhagen","ror":"https://ror.org/035b05819","country_code":"DK","type":"education","lineage":["https://openalex.org/I124055696"]}],"countries":["DK"],"is_corresponding":true,"raw_author_name":"Rasmus Wriedt Larsen","raw_affiliation_strings":["University of Copenhagen, Denmark"],"affiliations":[{"raw_affiliation_string":"University of Copenhagen, Denmark","institution_ids":["https://openalex.org/I124055696"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034400099","display_name":"Troels Henriksen","orcid":"https://orcid.org/0000-0002-1195-9722"},"institutions":[{"id":"https://openalex.org/I124055696","display_name":"University of Copenhagen","ror":"https://ror.org/035b05819","country_code":"DK","type":"education","lineage":["https://openalex.org/I124055696"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Troels Henriksen","raw_affiliation_strings":["University of Copenhagen, Denmark"],"affiliations":[{"raw_affiliation_string":"University of Copenhagen, Denmark","institution_ids":["https://openalex.org/I124055696"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5047861721"],"corresponding_institution_ids":["https://openalex.org/I124055696"],"apc_list":null,"apc_paid":null,"fwci":1.1556,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.79735222,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"42","last_page":"52"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10996","display_name":"Computational Geometry and Mesh Generation","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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":0.7052371501922607},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5293279886245728},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.418843150138855},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32747775316238403}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7052371501922607},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5293279886245728},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.418843150138855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32747775316238403}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3122948.3122952","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3122948.3122952","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th ACM SIGPLAN International Workshop on Functional High-Performance Computing","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/9b2c9d9b-ff73-443d-bcb7-f9fc7a4a253c","is_oa":false,"landing_page_url":"https://researchprofiles.ku.dk/da/publications/9b2c9d9b-ff73-443d-bcb7-f9fc7a4a253c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401983","display_name":"Research at the University of Copenhagen (University of Copenhagen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I124055696","host_organization_name":"University of Copenhagen","host_organization_lineage":["https://openalex.org/I124055696"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Larsen , R W & Henriksen , T 2017 , Strategies for regular segmented reductions on GPU . in Proceedings of the 6th ACM SIGPLAN International Workshop on Functional High-Performance Computing . Association for Computing Machinery , pp. 42-52 , 6th ACM SIGPLAN International Workshop on Functional High-Performance Computing , Oxford , United Kingdom , 07/09/2017 . https://doi.org/10.1145/3122948.3122952","raw_type":"contributionToPeriodical"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320335354","display_name":"Strategic Research Council","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1989792478","https://openalex.org/W2024712769","https://openalex.org/W2028499920","https://openalex.org/W2050259926","https://openalex.org/W2058692170","https://openalex.org/W2060960950","https://openalex.org/W2061313045","https://openalex.org/W2080592089","https://openalex.org/W2087977509","https://openalex.org/W2104958979","https://openalex.org/W2436525433","https://openalex.org/W2504869045","https://openalex.org/W2508092574","https://openalex.org/W2517263820","https://openalex.org/W2644985445","https://openalex.org/W3138798301"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"We":[0,41,58],"present":[1],"and":[2,33,74],"evaluate":[3],"an":[4,60],"implementation":[5,61,94],"technique":[6,95],"for":[7,30,38,46,54,107],"regular":[8,50],"segmented":[9,47,108],"reductions":[10],"on":[11],"GPUs.":[12],"Existing":[13],"techniques":[14],"tend":[15],"to":[16,69,98],"be":[17],"either":[18],"consistent":[19],"in":[20,25,62,86],"performance":[21,37],"but":[22],"relatively":[23],"inefficient":[24],"absolute":[26],"terms,":[27],"or":[28,101],"optimised":[29,53],"specific":[31],"workloads":[32],"thereby":[34],"exhibiting":[35],"bad":[36],"certain":[39],"input.":[40],"propose":[42],"three":[43,72],"different":[44],"strategies":[45,73],"reduction":[48],"of":[49,89],"arrays,":[51],"each":[52],"a":[55,105],"particular":[56],"workload.":[57],"demonstrate":[59],"the":[63,77,87,90,93],"Futhark":[64,91],"compiler":[65],"that":[66,103],"is":[67,85,96],"able":[68],"employ":[70],"all":[71],"automatically":[75],"select":[76],"appropriate":[78],"one":[79],"at":[80],"runtime.":[81],"While":[82],"our":[83],"evaluation":[84],"context":[88],"compiler,":[92],"applicable":[97],"any":[99],"library":[100],"language":[102],"has":[104],"need":[106],"reductions.":[109]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2026-03-17T09:09:15.849793","created_date":"2025-10-10T00:00:00"}
