{"id":"https://openalex.org/W2115188409","doi":"https://doi.org/10.1109/ispass.2006.1620798","title":"Comparing multinomial and K-means clustering for SimPoint","display_name":"Comparing multinomial and K-means clustering for SimPoint","publication_year":2006,"publication_date":"2006-04-28","ids":{"openalex":"https://openalex.org/W2115188409","doi":"https://doi.org/10.1109/ispass.2006.1620798","mag":"2115188409"},"language":"en","primary_location":{"id":"doi:10.1109/ispass.2006.1620798","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispass.2006.1620798","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Symposium on Performance Analysis of Systems and Software","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/A5013375154","display_name":"Greg Hamerly","orcid":"https://orcid.org/0000-0002-0360-1544"},"institutions":[{"id":"https://openalex.org/I157394403","display_name":"Baylor University","ror":"https://ror.org/005781934","country_code":"US","type":"education","lineage":["https://openalex.org/I157394403"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"G. Hamerly","raw_affiliation_strings":["Department of Computer Science, Baylor University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Baylor University, USA","institution_ids":["https://openalex.org/I157394403"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058358830","display_name":"Erez Perelman","orcid":null},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"E. Perelman","raw_affiliation_strings":["Department of Computer Science and Engineering, University of California, San Diego, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of California, San Diego, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113689930","display_name":"Brad Calder","orcid":null},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"B. Calder","raw_affiliation_strings":["Department of Computer Science and Engineering, University of California, San Diego, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of California, San Diego, USA","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5692,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.66890449,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"131","last_page":"142"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9991999864578247,"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":0.9991999864578247,"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/T10260","display_name":"Software Engineering Research","score":0.9950000047683716,"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"}},{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.9945999979972839,"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/cluster-analysis","display_name":"Cluster analysis","score":0.9159038066864014},{"id":"https://openalex.org/keywords/multinomial-distribution","display_name":"Multinomial distribution","score":0.8676289319992065},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7655620574951172},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4535149931907654},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44658616185188293},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43923449516296387},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.4257327616214752},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3650834560394287},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36392831802368164},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13302668929100037},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13173070549964905}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.9159038066864014},{"id":"https://openalex.org/C192065140","wikidata":"https://www.wikidata.org/wiki/Q1147928","display_name":"Multinomial distribution","level":2,"score":0.8676289319992065},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7655620574951172},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4535149931907654},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44658616185188293},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43923449516296387},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.4257327616214752},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3650834560394287},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36392831802368164},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13302668929100037},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13173070549964905},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/ispass.2006.1620798","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispass.2006.1620798","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Symposium on Performance Analysis of Systems and Software","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.63.8676","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.63.8676","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www-cse.ucsd.edu/~calder/papers/ISPASS-06-MultinomialSimPoint.pdf","raw_type":"text"},{"id":"pmh:oai:escholarship.org:ark:/13030/qt6vr7x5qg","is_oa":false,"landing_page_url":"https://escholarship.org/uc/item/6vr7x5qg","pdf_url":null,"source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320327624","display_name":"Instituto de Sistemas Complejos de Ingenier\u00eda","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W23372364","https://openalex.org/W49459401","https://openalex.org/W1493984463","https://openalex.org/W1522349273","https://openalex.org/W1585610988","https://openalex.org/W1647880337","https://openalex.org/W1973127928","https://openalex.org/W2032094184","https://openalex.org/W2045502823","https://openalex.org/W2049633694","https://openalex.org/W2052040062","https://openalex.org/W2106370201","https://openalex.org/W2107493680","https://openalex.org/W2110399624","https://openalex.org/W2112022368","https://openalex.org/W2122774514","https://openalex.org/W2127218421","https://openalex.org/W2136794719","https://openalex.org/W2149813938","https://openalex.org/W2153456949","https://openalex.org/W2154702295","https://openalex.org/W2155119470","https://openalex.org/W2155168119","https://openalex.org/W2157676568","https://openalex.org/W2953145006","https://openalex.org/W4234144196","https://openalex.org/W4244593655","https://openalex.org/W4251451722","https://openalex.org/W4252854535","https://openalex.org/W4253029824","https://openalex.org/W4255616683","https://openalex.org/W6629555498","https://openalex.org/W6635035540","https://openalex.org/W6678914141"],"related_works":["https://openalex.org/W2115188409","https://openalex.org/W1999117613","https://openalex.org/W2040929534","https://openalex.org/W3022637481","https://openalex.org/W2393816671","https://openalex.org/W3120229345","https://openalex.org/W2111119584","https://openalex.org/W3144143113","https://openalex.org/W3039964395","https://openalex.org/W2804957450"],"abstract_inverted_index":{"SimPoint":[0,24,67],"is":[1,68],"a":[2,19,39,79,90,100],"technique":[3],"used":[4],"to":[5,13,17,32,47,129,151,163],"pick":[6],"what":[7],"parts":[8],"of":[9,22,60,64,103,138,144],"the":[10,61,65,71,118,130,136,142],"program's":[11,40],"execution":[12,63],"simulate":[14],"in":[15,38,135],"order":[16],"have":[18],"complete":[20,62],"picture":[21,59],"execution.":[23],"uses":[25],"data":[26],"clustering":[27,73,81,108,122,133,150,167],"algorithms":[28],"from":[29],"machine":[30],"learning":[31],"automatically":[33],"find":[34],"repetitive":[35,51],"(similar)":[36],"patterns":[37],"execution,":[41],"and":[42,93,106,141],"it":[43],"chooses":[44],"one":[45],"sample":[46],"represent":[48,56],"each":[49],"unique":[50],"behavior.":[52],"Together":[53],"these":[54],"samples":[55],"an":[57],"accurate":[58],"program.":[66],"based":[69,83],"on":[70,84],"k-means":[72,105,114],"algorithm;":[74],"recent":[75],"work":[76,97],"proposed":[77,120],"using":[78,104],"different":[80],"method":[82],"multinomial":[85,107,121,132,149,166],"models,":[86],"but":[87],"only":[88],"provided":[89],"preliminary":[91],"comparison":[92,102],"analysis.":[94],"In":[95],"this":[96],"we":[98],"provide":[99],"detailed":[101],"for":[109],"SimPoint.":[110],"We":[111,124,157],"show":[112],"that":[113],"performs":[115],"better":[116],"than":[117],"recently":[119],"approach.":[123],"then":[125,158],"propose":[126],"two":[127],"improvements":[128],"prior":[131],"approach":[134],"areas":[137],"feature":[139],"reduction":[140],"picking":[143],"simulation":[145],"points":[146],"which":[147],"allow":[148],"perform":[152],"as":[153,155],"well":[154],"k-means.":[156,169],"conclude":[159],"by":[160],"examining":[161],"how":[162],"potentially":[164],"combine":[165],"with":[168]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
