{"id":"https://openalex.org/W2082837223","doi":"https://doi.org/10.1109/hpcsim.2014.6903723","title":"Accelerating outlier detection with intra- and inter-node parallelism","display_name":"Accelerating outlier detection with intra- and inter-node parallelism","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2082837223","doi":"https://doi.org/10.1109/hpcsim.2014.6903723","mag":"2082837223"},"language":"en","primary_location":{"id":"doi:10.1109/hpcsim.2014.6903723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpcsim.2014.6903723","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on High Performance Computing & Simulation (HPCS)","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/A5075369704","display_name":"Fabrizio Angiulli","orcid":"https://orcid.org/0000-0002-9860-7569"},"institutions":[{"id":"https://openalex.org/I45204951","display_name":"University of Calabria","ror":"https://ror.org/02rc97e94","country_code":"IT","type":"education","lineage":["https://openalex.org/I45204951"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Fabrizio Angiulli","raw_affiliation_strings":["DIMES-UNICAL, Rende, CS, Italy","DIMES-UNICAL, Rende (CS), Italy"],"affiliations":[{"raw_affiliation_string":"DIMES-UNICAL, Rende, CS, Italy","institution_ids":["https://openalex.org/I45204951"]},{"raw_affiliation_string":"DIMES-UNICAL, Rende (CS), Italy","institution_ids":["https://openalex.org/I45204951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008556153","display_name":"Stefano Basta","orcid":"https://orcid.org/0000-0002-9852-988X"},"institutions":[{"id":"https://openalex.org/I179420787","display_name":"Indian Council of Agricultural Research","ror":"https://ror.org/04fw54a43","country_code":"IN","type":"government","lineage":["https://openalex.org/I179420787"]},{"id":"https://openalex.org/I3005160176","display_name":"Institute for High Performance Computing and Networking","ror":"https://ror.org/04r5fge26","country_code":"IT","type":"facility","lineage":["https://openalex.org/I3005160176","https://openalex.org/I4210155236"]}],"countries":["IN","IT"],"is_corresponding":false,"raw_author_name":"Stefano Basta","raw_affiliation_strings":["ICAR-CNR, Rende, CS, Italy","ICAR-CNR, Rende (CS) Italy"],"affiliations":[{"raw_affiliation_string":"ICAR-CNR, Rende, CS, Italy","institution_ids":["https://openalex.org/I3005160176"]},{"raw_affiliation_string":"ICAR-CNR, Rende (CS) Italy","institution_ids":["https://openalex.org/I179420787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083738483","display_name":"Stefano Lodi","orcid":"https://orcid.org/0000-0001-8861-6341"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Stefano Lodi","raw_affiliation_strings":["DISI-UNIBO, Bologna, Italy","[DISI, UNIBO, Bologna, Italy]"],"affiliations":[{"raw_affiliation_string":"DISI-UNIBO, Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]},{"raw_affiliation_string":"[DISI, UNIBO, Bologna, Italy]","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"last","author":{"id":null,"display_name":"Claudio Sartori","orcid":null},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Claudio Sartori","raw_affiliation_strings":["DISI-UNIBO, Bologna, Italy","[DISI, UNIBO, Bologna, Italy]"],"affiliations":[{"raw_affiliation_string":"DISI-UNIBO, Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]},{"raw_affiliation_string":"[DISI, UNIBO, Bologna, Italy]","institution_ids":["https://openalex.org/I9360294"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5075369704"],"corresponding_institution_ids":["https://openalex.org/I45204951"],"apc_list":null,"apc_paid":null,"fwci":1.2686,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.8548219,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"1759","issue":null,"first_page":"476","last_page":"483"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12549","display_name":"Image and Object Detection Techniques","score":0.972100019454956,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9667999744415283,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.8746316432952881},{"id":"https://openalex.org/keywords/data-parallelism","display_name":"Data parallelism","score":0.7612501382827759},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.7335047721862793},{"id":"https://openalex.org/keywords/task-parallelism","display_name":"Task parallelism","score":0.7039815187454224},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.6968116760253906},{"id":"https://openalex.org/keywords/parallelism","display_name":"Parallelism (grammar)","score":0.688913106918335},{"id":"https://openalex.org/keywords/instruction-level-parallelism","display_name":"Instruction-level parallelism","score":0.5920630097389221},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5499526858329773},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.47817474603652954},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.46715229749679565},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43067270517349243},{"id":"https://openalex.org/keywords/limit","display_name":"Limit (mathematics)","score":0.4276294410228729},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1692085564136505},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09819045662879944}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8746316432952881},{"id":"https://openalex.org/C61483411","wikidata":"https://www.wikidata.org/wiki/Q3124522","display_name":"Data parallelism","level":3,"score":0.7612501382827759},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.7335047721862793},{"id":"https://openalex.org/C42992933","wikidata":"https://www.wikidata.org/wiki/Q691169","display_name":"Task parallelism","level":3,"score":0.7039815187454224},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.6968116760253906},{"id":"https://openalex.org/C2781172179","wikidata":"https://www.wikidata.org/wiki/Q853109","display_name":"Parallelism (grammar)","level":2,"score":0.688913106918335},{"id":"https://openalex.org/C140763907","wikidata":"https://www.wikidata.org/wiki/Q2714055","display_name":"Instruction-level parallelism","level":3,"score":0.5920630097389221},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5499526858329773},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.47817474603652954},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.46715229749679565},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43067270517349243},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.4276294410228729},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1692085564136505},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09819045662879944},{"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},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/hpcsim.2014.6903723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpcsim.2014.6903723","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on High Performance Computing & Simulation (HPCS)","raw_type":"proceedings-article"},{"id":"pmh:oai:cris.unibo.it:11585/384577","is_oa":false,"landing_page_url":"http://hdl.handle.net/11585/384577","pdf_url":null,"source":{"id":"https://openalex.org/S4306402579","display_name":"Archivio istituzionale della ricerca (Alma Mater Studiorum Universit\u00e0 di Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210117483","host_organization_name":"Istituto di Ematologia di Bologna","host_organization_lineage":["https://openalex.org/I4210117483"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"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/W125439535","https://openalex.org/W137179224","https://openalex.org/W1552339598","https://openalex.org/W1556107440","https://openalex.org/W1556860917","https://openalex.org/W1597087655","https://openalex.org/W1966147156","https://openalex.org/W1983700962","https://openalex.org/W2007869097","https://openalex.org/W2012122611","https://openalex.org/W2028001415","https://openalex.org/W2036477303","https://openalex.org/W2068483277","https://openalex.org/W2074937039","https://openalex.org/W2090024033","https://openalex.org/W2105769939","https://openalex.org/W2117672932","https://openalex.org/W2131989759","https://openalex.org/W2141579716","https://openalex.org/W2161970940","https://openalex.org/W2166377520","https://openalex.org/W2167659042","https://openalex.org/W2169900105","https://openalex.org/W2170314592","https://openalex.org/W3120740533","https://openalex.org/W4212770024","https://openalex.org/W4238722012","https://openalex.org/W4253461361","https://openalex.org/W6632829031","https://openalex.org/W6680965528"],"related_works":["https://openalex.org/W2950520577","https://openalex.org/W2003935582","https://openalex.org/W74409296","https://openalex.org/W1991844655","https://openalex.org/W2105992728","https://openalex.org/W1229628","https://openalex.org/W2009213655","https://openalex.org/W2494130044","https://openalex.org/W2593878938","https://openalex.org/W305742777"],"abstract_inverted_index":{"Outlier":[0,28],"detection":[1,29,76],"is":[2,35,51,98],"a":[3,85,92,115,123],"data":[4,33,46],"mining":[5],"task":[6],"consisting":[7],"in":[8,30,122],"the":[9,17,20,41,45,81,88,99,128],"discovery":[10],"of":[11,19,44,63,84,91,94,101,117,134],"observations":[12],"which":[13,105],"deviate":[14],"substantially":[15],"from":[16],"rest":[18],"data,":[21],"and":[22,40,87,126],"has":[23],"many":[24],"important":[25],"practical":[26],"applications.":[27],"very":[31,38],"large":[32,118],"sets":[34],"however":[36],"computationally":[37],"demanding":[39],"size":[42],"limit":[43],"that":[47],"can":[48],"be":[49],"elaborated":[50],"considerably":[52],"pushed":[53],"forward":[54],"by":[55],"mixing":[56],"three":[57],"ingredients:":[58],"efficient":[59],"algorithms,":[60],"intra-cpu":[61],"parallelism":[62,83,90],"high-performance":[64],"architectures,":[65],"network":[66,110],"level":[67,111],"parallelism.":[68,112],"In":[69],"this":[70],"paper":[71],"we":[72],"propose":[73],"an":[74],"outlier":[75],"algorithm":[77,97],"able":[78],"to":[79],"exploit":[80],"internal":[82],"GPU":[86,108],"external":[89],"cluster":[93],"GPU.":[95],"The":[96],"evolution":[100],"our":[102],"previous":[103],"solutions":[104],"considered":[106],"either":[107],"or":[109],"We":[113],"discuss":[114],"set":[116],"scale":[119],"experiments":[120],"executed":[121],"supercomputing":[124],"facility":[125],"show":[127],"speedup":[129],"obtained":[130],"with":[131],"varying":[132],"number":[133],"nodes.":[135]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}