{"id":"https://openalex.org/W1991716157","doi":"https://doi.org/10.1145/1152154.1152173","title":"Complexity-based program phase analysis and classification","display_name":"Complexity-based program phase analysis and classification","publication_year":2006,"publication_date":"2006-09-16","ids":{"openalex":"https://openalex.org/W1991716157","doi":"https://doi.org/10.1145/1152154.1152173","mag":"1991716157"},"language":"en","primary_location":{"id":"doi:10.1145/1152154.1152173","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1152154.1152173","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th international conference on Parallel architectures and compilation techniques","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/A5070425730","display_name":"Chang-Burm Cho","orcid":null},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chang-Burm Cho","raw_affiliation_strings":["University of Florida","Intelligent Design of Efficient Architecture Lab (IDEAL), Department of Electrical and Computer Engineering, University of Florida"],"affiliations":[{"raw_affiliation_string":"University of Florida","institution_ids":["https://openalex.org/I33213144"]},{"raw_affiliation_string":"Intelligent Design of Efficient Architecture Lab (IDEAL), Department of Electrical and Computer Engineering, University of Florida","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102008970","display_name":"Tao Li","orcid":"https://orcid.org/0000-0003-4564-5753"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tao Li","raw_affiliation_strings":["University of Florida","Intelligent Design of Efficient Architecture Lab (IDEAL), Department of Electrical and Computer Engineering, University of Florida"],"affiliations":[{"raw_affiliation_string":"University of Florida","institution_ids":["https://openalex.org/I33213144"]},{"raw_affiliation_string":"Intelligent Design of Efficient Architecture Lab (IDEAL), Department of Electrical and Computer Engineering, University of Florida","institution_ids":["https://openalex.org/I33213144"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5070425730"],"corresponding_institution_ids":["https://openalex.org/I33213144"],"apc_list":null,"apc_paid":null,"fwci":3.1219,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.91050544,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"105","last_page":"113"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10904","display_name":"Embedded Systems Design Techniques","score":0.9908999800682068,"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9793999791145325,"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/computer-science","display_name":"Computer science","score":0.8000767230987549},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6066866517066956},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5264739990234375},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.517595648765564},{"id":"https://openalex.org/keywords/multiresolution-analysis","display_name":"Multiresolution analysis","score":0.5088112950325012},{"id":"https://openalex.org/keywords/program-analysis","display_name":"Program analysis","score":0.4665626585483551},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.46376582980155945},{"id":"https://openalex.org/keywords/dynamic-program-analysis","display_name":"Dynamic program analysis","score":0.4464518129825592},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37870073318481445},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.35039666295051575},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34721800684928894},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3445819318294525},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.30712297558784485},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.12500086426734924}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8000767230987549},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6066866517066956},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5264739990234375},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.517595648765564},{"id":"https://openalex.org/C121927907","wikidata":"https://www.wikidata.org/wiki/Q1952516","display_name":"Multiresolution analysis","level":5,"score":0.5088112950325012},{"id":"https://openalex.org/C98183937","wikidata":"https://www.wikidata.org/wiki/Q2112188","display_name":"Program analysis","level":2,"score":0.4665626585483551},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.46376582980155945},{"id":"https://openalex.org/C140006998","wikidata":"https://www.wikidata.org/wiki/Q2499307","display_name":"Dynamic program analysis","level":3,"score":0.4464518129825592},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37870073318481445},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35039666295051575},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34721800684928894},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3445819318294525},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.30712297558784485},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.12500086426734924},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1152154.1152173","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1152154.1152173","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th international conference on Parallel architectures and compilation techniques","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.325.3284","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.325.3284","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ideal.ece.ufl.edu/publications/files/133-paper-changburm-pact06.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W23372364","https://openalex.org/W1493984463","https://openalex.org/W1517242933","https://openalex.org/W1981173447","https://openalex.org/W2019510539","https://openalex.org/W2023141194","https://openalex.org/W2062024414","https://openalex.org/W2098914003","https://openalex.org/W2101587002","https://openalex.org/W2105818147","https://openalex.org/W2107493680","https://openalex.org/W2110399624","https://openalex.org/W2111204461","https://openalex.org/W2112022368","https://openalex.org/W2122774514","https://openalex.org/W2127218421","https://openalex.org/W2130327500","https://openalex.org/W2132366470","https://openalex.org/W2136465719","https://openalex.org/W2136794719","https://openalex.org/W2140460036","https://openalex.org/W2148223488","https://openalex.org/W2149569873","https://openalex.org/W2149813938","https://openalex.org/W2152001712","https://openalex.org/W2153456949","https://openalex.org/W2155119470","https://openalex.org/W2155168119","https://openalex.org/W2166982406","https://openalex.org/W2299467264","https://openalex.org/W2534849208","https://openalex.org/W2542669359","https://openalex.org/W4232528527"],"related_works":["https://openalex.org/W2146279349","https://openalex.org/W3111646971","https://openalex.org/W2901225818","https://openalex.org/W2078151704","https://openalex.org/W2150890277","https://openalex.org/W2051987892","https://openalex.org/W2142904844","https://openalex.org/W2166766372","https://openalex.org/W3120011499","https://openalex.org/W2514903476"],"abstract_inverted_index":{"Modeling":[0],"and":[1,14,43,47,66,73,84,91,95,138],"analysis":[2,137],"of":[3,10,97,151],"program":[4,27,35,49,68,98,107,143,167],"behavior":[5],"are":[6,122],"at":[7,109,119],"the":[8,93,162],"foundation":[9],"computer":[11,17],"system":[12],"design":[13],"optimization.":[15],"As":[16],"systems":[18],"become":[19],"more":[20],"adaptive,":[21],"their":[22,71],"efficiency":[23],"increasingly":[24],"depends":[25],"on":[26,155],"dynamic":[28],"characteristics.":[29],"Previous":[30],"studies":[31,58],"have":[32,51,59],"revealed":[33],"that":[34,147,161],"runtime":[36],"execution":[37,144],"manifests":[38],"phase":[39,116,129],"behavior.":[40],"Recently,":[41],"methods":[42,101],"tools":[44],"to":[45,64,88,105,127,133,141],"analyze":[46],"classify":[48,92,142,165],"phases":[50,69,108,146,168],"also":[52],"been":[53,60],"developed.":[54],"However,":[55],"very":[56],"few":[57],"proposed":[61,163],"so":[62],"far":[63],"understand":[65],"evaluate":[67],"from":[70],"dynamics":[72,94,117],"complexity":[74,96],"perspectives.":[75],"In":[76],"this":[77],"work,":[78],"we":[79],"propose":[80,132],"new":[81],"methods,":[82],"metrics":[83,126],"frameworks":[85],"which":[86],"aim":[87],"analyze,":[89],"quantify,":[90],"phases.":[99],"Our":[100],"use":[102],"wavelet":[103],"techniques":[104],"represent":[106],"multiresolution":[110,136],"scales.":[111],"The":[112],"cross-correlation":[113],"coefficients":[114],"between":[115],"observed":[118],"different":[120],"scales":[121],"then":[123],"computed":[124],"as":[125],"quantify":[128],"complexity.":[130,152],"We":[131],"apply":[134],"wavelet-based":[135],"data":[139],"clustering":[140],"into":[145],"exhibit":[148],"similar":[149],"degree":[150],"Experimental":[153],"results":[154],"SPEC":[156],"CPU":[157],"2000":[158],"benchmarks":[159],"show":[160],"schemes":[164],"complexity-based":[166],"better":[169],"than":[170],"currently":[171],"used":[172],"approaches.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}