{"id":"https://openalex.org/W2156692915","doi":"https://doi.org/10.1145/1088149.1088200","title":"What is worth learning from parallel workloads?","display_name":"What is worth learning from parallel workloads?","publication_year":2005,"publication_date":"2005-06-20","ids":{"openalex":"https://openalex.org/W2156692915","doi":"https://doi.org/10.1145/1088149.1088200","mag":"2156692915"},"language":"en","primary_location":{"id":"doi:10.1145/1088149.1088200","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1088149.1088200","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th annual international conference on Supercomputing","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/A5064294562","display_name":"Julia Zilber","orcid":null},"institutions":[{"id":"https://openalex.org/I3131873961","display_name":"Hadassah Academic College","ror":"https://ror.org/03bdv1r55","country_code":"IL","type":"education","lineage":["https://openalex.org/I3131873961"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Julia Zilber","raw_affiliation_strings":["Hadassah College, Jerusalem, Israel"],"affiliations":[{"raw_affiliation_string":"Hadassah College, Jerusalem, Israel","institution_ids":["https://openalex.org/I3131873961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053836174","display_name":"Ofer Amit","orcid":null},"institutions":[{"id":"https://openalex.org/I3131873961","display_name":"Hadassah Academic College","ror":"https://ror.org/03bdv1r55","country_code":"IL","type":"education","lineage":["https://openalex.org/I3131873961"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Ofer Amit","raw_affiliation_strings":["Hadassah College, Jerusalem, Israel"],"affiliations":[{"raw_affiliation_string":"Hadassah College, Jerusalem, Israel","institution_ids":["https://openalex.org/I3131873961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008312989","display_name":"David Talby","orcid":"https://orcid.org/0000-0003-2782-5478"},"institutions":[{"id":"https://openalex.org/I197251160","display_name":"Hebrew University of Jerusalem","ror":"https://ror.org/03qxff017","country_code":"IL","type":"education","lineage":["https://openalex.org/I197251160"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"David Talby","raw_affiliation_strings":["Hebrew University, Jerusalem, Israel"],"affiliations":[{"raw_affiliation_string":"Hebrew University, Jerusalem, Israel","institution_ids":["https://openalex.org/I197251160"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5064294562"],"corresponding_institution_ids":["https://openalex.org/I3131873961"],"apc_list":null,"apc_paid":null,"fwci":5.6368,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.95805199,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"377","last_page":"386"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9997000098228455,"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":0.9995999932289124,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9994000196456909,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.8716215491294861},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8583365678787231},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.84627366065979},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.628374457359314},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5015671253204346},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.4882107079029083},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.481260746717453},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.4725579619407654},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.4673593044281006},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3857668936252594},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3381900191307068},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32268357276916504},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1777825653553009},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.17291989922523499}],"concepts":[{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.8716215491294861},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8583365678787231},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.84627366065979},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.628374457359314},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5015671253204346},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.4882107079029083},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.481260746717453},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.4725579619407654},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.4673593044281006},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3857668936252594},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3381900191307068},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32268357276916504},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1777825653553009},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.17291989922523499},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","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/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1088149.1088200","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1088149.1088200","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th annual international conference on Supercomputing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W162059453","https://openalex.org/W648130861","https://openalex.org/W1540239946","https://openalex.org/W1541858096","https://openalex.org/W1571646234","https://openalex.org/W1623623799","https://openalex.org/W1660433879","https://openalex.org/W1771811734","https://openalex.org/W1795277129","https://openalex.org/W1820389309","https://openalex.org/W2018666903","https://openalex.org/W2049776775","https://openalex.org/W2060377179","https://openalex.org/W2061048015","https://openalex.org/W2099170436","https://openalex.org/W2104979878","https://openalex.org/W2107959373","https://openalex.org/W2114888252","https://openalex.org/W2130621500","https://openalex.org/W2150899384","https://openalex.org/W2155475087","https://openalex.org/W2915334541","https://openalex.org/W6682336586"],"related_works":["https://openalex.org/W2000785801","https://openalex.org/W986318368","https://openalex.org/W4230197055","https://openalex.org/W4296749040","https://openalex.org/W2384410913","https://openalex.org/W2352878646","https://openalex.org/W621808327","https://openalex.org/W2062283790","https://openalex.org/W2038157384","https://openalex.org/W2585279543"],"abstract_inverted_index":{"Learning":[0],"useful":[1],"and":[2,8,29,47,70,85,88,92,116,119,127,157],"predictable":[3],"features":[4,72],"from":[5,138],"past":[6],"workloads":[7],"exploiting":[9],"them":[10],"well":[11,41],"is":[12,45,134],"a":[13],"major":[14],"source":[15],"of":[16,51,111],"improvement":[17],"in":[18],"many":[19],"operating":[20],"system":[21],"problems.":[22],"We":[23,58,103],"review":[24],"known":[25],"parallel":[26,141],"workload":[27,43],"features,":[28],"argue":[30],"that":[31,107,153],"the":[32,112],"correct":[33],"approach":[34],"for":[35],"future":[36],"on-line":[37],"algorithm":[38],"design":[39],"as":[40,42,55],"modeling":[44],"user-":[46],"session-based":[48],"modeling,":[49],"instead":[50],"analyzing":[52],"jobs":[53],"directly":[54],"done":[56],"today.":[57],"then":[59],"provide":[60],"statistically":[61],"sound":[62],"answers":[63],"to":[64,76,151],"two":[65],"basic":[66],"questions:":[67],"Which":[68],"user":[69,87,130],"session":[71,89,124],"are":[73,148,155],"central":[74],"enough":[75],"be":[77,96],"potentially":[78],"useful,":[79],"answered":[80,99],"using":[81,100],"Principal":[82],"Component":[83],"Analysis,":[84],"which":[86,147],"classes":[90,125],"exist":[91],"how":[93],"they":[94],"can":[95],"identified":[97],"on-line,":[98],"K-means":[101],"clustering.":[102],"identify":[104,121],"variable":[105],"sets":[106],"explain":[108],"over":[109,144],"80%":[110],"variance":[113],"between":[114,117],"sessions":[115],"users,":[118],"also":[120],"five":[122],"stable":[123,129],"(clusters)":[126],"four":[128],"classes.":[131],"Our":[132],"analysis":[133],"based":[135],"on":[136],"logs":[137],"seven":[139],"different":[140],"supercomputers,":[142],"spanning":[143],"87":[145],"months,":[146],"analyzed":[149],"together":[150],"ensure":[152],"results":[154],"location-":[156],"architecture-neutral.":[158]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
