{"id":"https://openalex.org/W2162082016","doi":"https://doi.org/10.1109/iiswc.2011.6114195","title":"Using cycle stacks to understand scaling bottlenecks in multi-threaded workloads","display_name":"Using cycle stacks to understand scaling bottlenecks in multi-threaded workloads","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2162082016","doi":"https://doi.org/10.1109/iiswc.2011.6114195","mag":"2162082016"},"language":"en","primary_location":{"id":"doi:10.1109/iiswc.2011.6114195","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iiswc.2011.6114195","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Symposium on Workload Characterization (IISWC)","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/A5006011049","display_name":"Wim Heirman","orcid":"https://orcid.org/0000-0003-2286-1525"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Wim Heirman","raw_affiliation_strings":["Department of Electronics and Information Systems, Ghent University, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Information Systems, Ghent University, Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069683581","display_name":"Trevor E. Carlson","orcid":"https://orcid.org/0000-0001-8742-134X"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Trevor E. Carlson","raw_affiliation_strings":["Department of Electronics and Information Systems, Ghent University, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Information Systems, Ghent University, Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018356320","display_name":"Shuai Che","orcid":null},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shuai Che","raw_affiliation_strings":["Department of Computer Science, University of Virginia, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Virginia, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074818897","display_name":"Kevin Skadron","orcid":"https://orcid.org/0000-0002-8091-9302"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kevin Skadron","raw_affiliation_strings":["Department of Computer Science, University of Virginia, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Virginia, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033119975","display_name":"Lieven Eeckhout","orcid":"https://orcid.org/0000-0001-8792-4473"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Lieven Eeckhout","raw_affiliation_strings":["Department of Electronics and Information Systems, Ghent University, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Information Systems, Ghent University, Belgium","institution_ids":["https://openalex.org/I32597200"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.3492,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.93179308,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"38","last_page":"49"},"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":0.9994999766349792,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/parsec","display_name":"Parsec","score":0.9350568056106567},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.8977874517440796},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8028790950775146},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.6618385314941406},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5927165746688843},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.5793209075927734},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.5570375919342041},{"id":"https://openalex.org/keywords/multi-core-processor","display_name":"Multi-core processor","score":0.48211002349853516},{"id":"https://openalex.org/keywords/synchronization","display_name":"Synchronization (alternating current)","score":0.41823670268058777},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3280491232872009},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.11518555879592896},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.09557938575744629}],"concepts":[{"id":"https://openalex.org/C44060867","wikidata":"https://www.wikidata.org/wiki/Q12129","display_name":"Parsec","level":3,"score":0.9350568056106567},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8977874517440796},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8028790950775146},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.6618385314941406},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5927165746688843},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.5793209075927734},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.5570375919342041},{"id":"https://openalex.org/C78766204","wikidata":"https://www.wikidata.org/wiki/Q555032","display_name":"Multi-core processor","level":2,"score":0.48211002349853516},{"id":"https://openalex.org/C2778562939","wikidata":"https://www.wikidata.org/wiki/Q1298791","display_name":"Synchronization (alternating current)","level":3,"score":0.41823670268058777},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3280491232872009},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.11518555879592896},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.09557938575744629},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C150846664","wikidata":"https://www.wikidata.org/wiki/Q7602306","display_name":"Stars","level":2,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/iiswc.2011.6114195","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iiswc.2011.6114195","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Symposium on Workload Characterization (IISWC)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.228.4225","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.228.4225","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.virginia.edu/%7Eskadron/Papers/iiswc2011heirman.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.308.4927","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.308.4927","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://users.elis.ugent.be/~leeckhou/papers/iiswc11_3.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.411.3585","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.411.3585","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://users.elis.ugent.be/~wheirman/papers/iiswc2011heirman.pdf","raw_type":"text"},{"id":"pmh:oai:archive.ugent.be:1959548","is_oa":false,"landing_page_url":"http://hdl.handle.net/1854/LU-1959548","pdf_url":null,"source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISBN: 9781457720628","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321730","display_name":"Fonds Wetenschappelijk Onderzoek","ror":"https://ror.org/03qtxy027"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1964191343","https://openalex.org/W1964857732","https://openalex.org/W1986491730","https://openalex.org/W2024270436","https://openalex.org/W2034062945","https://openalex.org/W2068829602","https://openalex.org/W2078455576","https://openalex.org/W2078994750","https://openalex.org/W2080592089","https://openalex.org/W2112440119","https://openalex.org/W2127643746","https://openalex.org/W2145021036","https://openalex.org/W2155828618","https://openalex.org/W2156509923","https://openalex.org/W2161522487","https://openalex.org/W2169875292","https://openalex.org/W3099514962","https://openalex.org/W4238549726","https://openalex.org/W4256470818","https://openalex.org/W4298870207"],"related_works":["https://openalex.org/W2152436418","https://openalex.org/W2038229768","https://openalex.org/W2169875292","https://openalex.org/W4387670984","https://openalex.org/W2950411467","https://openalex.org/W2000785801","https://openalex.org/W986318368","https://openalex.org/W2208151106","https://openalex.org/W2384410913","https://openalex.org/W2352878646"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,84,104],"methodology":[4,91],"for":[5,37],"analyzing":[6,38],"parallel":[7,39,96],"performance":[8],"by":[9],"building":[10],"cycle":[11,14,43,81],"stacks.":[12,82],"A":[13],"stack":[15],"quantifies":[16],"where":[17],"the":[18,30,78,90,116,126,134,155,157,161,168],"cycles":[19],"have":[20,163],"gone,":[21],"and":[22,102,119,123,166],"provides":[23],"hints":[24],"towards":[25,143],"optimization":[26],"opportunities.":[27],"We":[28,72,114],"make":[29],"case":[31,75],"that":[32,125],"this":[33],"is":[34,151],"particularly":[35],"interesting":[36],"performance:":[40],"understanding":[41],"how":[42],"components":[44],"scale":[45],"with":[46,58],"increasing":[47],"core":[48,149],"counts":[49,150],"and/or":[50,147],"input":[51,145],"data":[52,100],"set":[53],"sizes":[54],"leads":[55],"to":[56,60,64,92,107],"insight":[57],"respect":[59],"scaling":[61,138],"bottlenecks":[62],"due":[63],"synchronization,":[65],"load":[66],"imbalance,":[67],"poor":[68],"memory":[69],"performance,":[70],"etc.":[71],"present":[73],"several":[74],"studies":[76],"illustrating":[77],"use":[79],"of":[80,95,140],"As":[83],"subsequent":[85],"step,":[86],"we":[87],"further":[88],"extend":[89],"analyze":[93,115],"sets":[94,146],"workloads":[97],"using":[98],"statistical":[99],"analysis,":[101],"perform":[103],"workload":[105,135],"characterization":[106],"understand":[108],"behavioral":[109],"differences":[110],"across":[111],"benchmark":[112,121,128],"suites.":[113],"SPLASH-2,":[117],"PARSEC":[118],"Rodinia":[120],"suites":[122,129],"conclude":[124],"three":[127],"cover":[130],"similar":[131],"areas":[132],"in":[133,159],"space.":[136],"However,":[137],"behavior":[139],"these":[141],"benchmarks":[142],"larger":[144],"higher":[148],"highly":[152],"dependent":[153],"on":[154,167],"benchmark,":[156],"way":[158],"which":[160],"inputs":[162],"been":[164],"scaled,":[165],"machine":[169],"configuration.":[170]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
