{"id":"https://openalex.org/W2031502045","doi":"https://doi.org/10.1109/ispass.2015.7095804","title":"DRAW: investigating benefits of adaptive fetch group size on GPU","display_name":"DRAW: investigating benefits of adaptive fetch group size on GPU","publication_year":2015,"publication_date":"2015-03-01","ids":{"openalex":"https://openalex.org/W2031502045","doi":"https://doi.org/10.1109/ispass.2015.7095804","mag":"2031502045"},"language":"en","primary_location":{"id":"doi:10.1109/ispass.2015.7095804","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispass.2015.7095804","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5040253395","display_name":"Myung Kuk Yoon","orcid":"https://orcid.org/0000-0002-9332-0251"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Myung Kuk Yoon","raw_affiliation_strings":["Yonsei Univ., Seoul, South Korea","School of Electrical & Electronic Engineering, Yonsei University, Seoul, Republic of Korea#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yonsei Univ., Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"School of Electrical & Electronic Engineering, Yonsei University, Seoul, Republic of Korea#TAB#","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103444688","display_name":"Seung Hun Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seung Hun Kim","raw_affiliation_strings":["Yonsei Univ., Seoul, South Korea","School of Electrical & Electronic Engineering, Yonsei University, Seoul, Republic of Korea#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yonsei Univ., Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"School of Electrical & Electronic Engineering, Yonsei University, Seoul, Republic of Korea#TAB#","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017913155","display_name":"Won Woo Ro","orcid":"https://orcid.org/0000-0001-5390-6445"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Won Woo Ro","raw_affiliation_strings":["Yonsei Univ., Seoul, South Korea","School of Electrical & Electronic Engineering, Yonsei University, Seoul, Republic of Korea#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yonsei Univ., Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"School of Electrical & Electronic Engineering, Yonsei University, Seoul, Republic of Korea#TAB#","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I193775966"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"68","issue":null,"first_page":"183","last_page":"192"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":1.0,"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":1.0,"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9998999834060669,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/fetch","display_name":"Fetch","score":0.9312044382095337},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6890672445297241},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5918503999710083},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.47031131386756897},{"id":"https://openalex.org/keywords/cas-latency","display_name":"CAS latency","score":0.44167959690093994},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3443267345428467},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3260754644870758},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.320823609828949},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1286175549030304},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.06978115439414978}],"concepts":[{"id":"https://openalex.org/C131918245","wikidata":"https://www.wikidata.org/wiki/Q1409090","display_name":"Fetch","level":2,"score":0.9312044382095337},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6890672445297241},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5918503999710083},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.47031131386756897},{"id":"https://openalex.org/C189930140","wikidata":"https://www.wikidata.org/wiki/Q1112878","display_name":"CAS latency","level":4,"score":0.44167959690093994},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3443267345428467},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3260754644870758},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.320823609828949},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1286175549030304},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.06978115439414978},{"id":"https://openalex.org/C98986596","wikidata":"https://www.wikidata.org/wiki/Q1143031","display_name":"Semiconductor memory","level":2,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C100800780","wikidata":"https://www.wikidata.org/wiki/Q1175867","display_name":"Memory controller","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ispass.2015.7095804","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispass.2015.7095804","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)","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":30,"referenced_works":["https://openalex.org/W1968902482","https://openalex.org/W1972971542","https://openalex.org/W1979527452","https://openalex.org/W1983235612","https://openalex.org/W1994999558","https://openalex.org/W1996037679","https://openalex.org/W2000335122","https://openalex.org/W2018150881","https://openalex.org/W2026048928","https://openalex.org/W2028499920","https://openalex.org/W2033597569","https://openalex.org/W2038178246","https://openalex.org/W2047060659","https://openalex.org/W2048441570","https://openalex.org/W2067441262","https://openalex.org/W2080592089","https://openalex.org/W2090584832","https://openalex.org/W2128022558","https://openalex.org/W2142444503","https://openalex.org/W2152956697","https://openalex.org/W2155568054","https://openalex.org/W2156831150","https://openalex.org/W2160428323","https://openalex.org/W2168921806","https://openalex.org/W2169880332","https://openalex.org/W2295862081","https://openalex.org/W3137551601","https://openalex.org/W3148394109","https://openalex.org/W4249082578","https://openalex.org/W4250981202"],"related_works":["https://openalex.org/W4214970455","https://openalex.org/W2175646991","https://openalex.org/W2027386296","https://openalex.org/W2614583728","https://openalex.org/W2184722600","https://openalex.org/W2021010544","https://openalex.org/W108401543","https://openalex.org/W4297098431","https://openalex.org/W2059832387","https://openalex.org/W2437914309"],"abstract_inverted_index":{"Previously,":[0],"hiding":[1,60],"operation":[2,32,64,146],"stalls":[3,33,69,87,117,150,183,200],"is":[4,56],"one":[5],"of":[6,14,28,36,53,63,105,165,171,216,229,231,239],"the":[7,31,37,42,51,79,84,99,102,112,114,131,135,142,149,157,163,169,176,180,187,193,214,221,243],"important":[8],"issues":[9],"to":[10,108,174,191,242],"suppress":[11],"performance":[12,238],"degradation":[13],"Graphics":[15],"Processing":[16],"Units":[17],"(GPUs).":[18],"In":[19,178],"this":[20,46],"paper,":[21,47],"we":[22,48,202],"first":[23],"conduct":[24],"a":[25,204],"detailed":[26],"study":[27],"factors":[29],"affecting":[30],"in":[34,59,137],"terms":[35],"fetch":[38,54,81,96,126,132,139,160,166,172,218],"group":[39,55,97,100,140,167],"size":[40,52,164,215],"on":[41,207],"warp":[43,246],"scheduler.":[44,247],"Throughout":[45],"find":[49],"that":[50],"highly":[57],"involved":[58],"various":[61],"types":[62],"stalls.":[65,110,177],"The":[66,128],"short":[67,85],"latency":[68,86,116,144],"can":[70,118],"be":[71,90,119,153],"hidden":[72,91,120,154],"by":[73,121,186],"issuing":[74],"other":[75],"available":[76],"warps":[77,107,123,136],"from":[78],"same":[80],"group.":[82,161,219],"Therefore,":[83,148],"may":[88,151],"not":[89,152],"well":[92,155],"under":[93],"small":[94],"sized":[95,159],"since":[98],"has":[101],"limited":[103,188],"number":[104,170],"issuable":[106],"hide":[109,175,197],"On":[111],"contrary,":[113],"long":[115,143],"dividing":[122],"into":[124],"multiple":[125],"groups.":[127],"scheduler":[129,211,225],"switches":[130],"groups":[133,173],"when":[134],"each":[138],"reach":[141],"memory":[145,194],"point.":[147],"at":[156],"large":[158],"Increasing":[162],"reduces":[168,226],"addition,":[179],"load/store":[181],"unit":[182],"are":[184],"caused":[185],"hardware":[189],"resources":[190],"handle":[192],"operations.":[195],"To":[196],"all":[198],"these":[199],"effectively,":[201],"propose":[203],"Dynamic":[205],"Resizing":[206],"Active":[208],"Warps":[209],"(DRAW)":[210],"which":[212],"adjusts":[213],"active":[217],"From":[220],"evaluation":[222],"results,":[223],"DRAW":[224],"an":[227,236],"average":[228,237],"16.3%":[230],"stall":[232],"cycles":[233],"and":[234],"improves":[235],"11.3%":[240],"compared":[241],"conventional":[244],"two-level":[245]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
