{"id":"https://openalex.org/W2076069845","doi":"https://doi.org/10.1109/ispass.2015.7095787","title":"Precise computer comparisons via statistical resampling methods","display_name":"Precise computer comparisons via statistical resampling methods","publication_year":2015,"publication_date":"2015-03-01","ids":{"openalex":"https://openalex.org/W2076069845","doi":"https://doi.org/10.1109/ispass.2015.7095787","mag":"2076069845"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispass.2015.7095787","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5100365249","display_name":"\u0411\u0438\u043d \u041b\u0438","orcid":"https://orcid.org/0000-0003-0831-092X"},"institutions":[{"id":"https://openalex.org/I121820613","display_name":"Louisiana State University","ror":"https://ror.org/05ect4e57","country_code":"US","type":"education","lineage":["https://openalex.org/I121820613"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bin Li","raw_affiliation_strings":["Louisiana State University**"],"affiliations":[{"raw_affiliation_string":"Louisiana State University**","institution_ids":["https://openalex.org/I121820613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103180705","display_name":"Shaoming Chen","orcid":"https://orcid.org/0009-0001-2420-7722"},"institutions":[{"id":"https://openalex.org/I121820613","display_name":"Louisiana State University","ror":"https://ror.org/05ect4e57","country_code":"US","type":"education","lineage":["https://openalex.org/I121820613"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shaoming Chen","raw_affiliation_strings":["Louisiana State University**"],"affiliations":[{"raw_affiliation_string":"Louisiana State University**","institution_ids":["https://openalex.org/I121820613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101893942","display_name":"Lu Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I121820613","display_name":"Louisiana State University","ror":"https://ror.org/05ect4e57","country_code":"US","type":"education","lineage":["https://openalex.org/I121820613"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lu Peng","raw_affiliation_strings":["Louisiana State University**"],"affiliations":[{"raw_affiliation_string":"Louisiana State University**","institution_ids":["https://openalex.org/I121820613"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.352,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.183048,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":73,"max":76},"biblio":{"volume":null,"issue":null,"first_page":"83","last_page":"92"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9991,"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":0.9991,"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/T10363","display_name":"Low-power high-performance VLSI design","score":0.9932,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11032","display_name":"VLSI and Analog Circuit Testing","score":0.9854,"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/resampling","display_name":"Resampling","score":0.8736265},{"id":"https://openalex.org/keywords/bootstrapping","display_name":"Bootstrapping (finance)","score":0.8435489}],"concepts":[{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.8736265},{"id":"https://openalex.org/C207609745","wikidata":"https://www.wikidata.org/wiki/Q4944086","display_name":"Bootstrapping (finance)","level":2,"score":0.8435489},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.74043196},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.63936734},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.51395243},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.46078053},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39958304},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.34206355},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.322571},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19182852},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.124732554}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispass.2015.7095787","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":29,"referenced_works":["https://openalex.org/W1555915743","https://openalex.org/W1589154916","https://openalex.org/W1995945562","https://openalex.org/W2005740976","https://openalex.org/W2014296507","https://openalex.org/W2059710695","https://openalex.org/W2072916763","https://openalex.org/W2102201375","https://openalex.org/W2103648619","https://openalex.org/W2117902492","https://openalex.org/W2140163235","https://openalex.org/W2141386638","https://openalex.org/W2145021036","https://openalex.org/W2149207009","https://openalex.org/W2153530968","https://openalex.org/W2165134790","https://openalex.org/W2166693749","https://openalex.org/W2169875292","https://openalex.org/W2396820990","https://openalex.org/W2725179571","https://openalex.org/W2797563284","https://openalex.org/W2888893520","https://openalex.org/W3016230452","https://openalex.org/W4211158017","https://openalex.org/W4229605281","https://openalex.org/W4238549726","https://openalex.org/W4247579843","https://openalex.org/W4298872162","https://openalex.org/W4299857007"],"related_works":["https://openalex.org/W69222743","https://openalex.org/W4229900761","https://openalex.org/W3194383809","https://openalex.org/W3117246195","https://openalex.org/W2375771286","https://openalex.org/W2149345204","https://openalex.org/W1978901256","https://openalex.org/W1969520669","https://openalex.org/W1958267198","https://openalex.org/W1913467779"],"abstract_inverted_index":{"Performance":[0],"variability,":[1],"stemming":[2],"from":[3],"non-deterministic":[4],"hardware":[5],"and":[6,71,87,91,140,163,174,182,192],"software":[7],"behaviors":[8,11],"or":[9],"deterministic":[10],"such":[12],"as":[13,38],"measurement":[14],"bias,":[15],"is":[16,118,145,151],"a":[17,73,77,148,164],"well-known":[18],"phenomenon":[19],"of":[20,27,45,137,159],"computer":[21,29,161,168],"systems":[22],"which":[23],"increases":[24],"the":[25,43,101,110,116,131,143,157,160,172],"difficulty":[26],"comparing":[28],"performance":[30,44,69,79,94,113,132,162,201],"metrics.":[31,202],"Conventional":[32],"methods":[33,67,189],"use":[34],"various":[35],"measures":[36],"(such":[37],"geometric":[39,138],"mean)":[40],"to":[41,48,57,108,155,166],"quantify":[42],"different":[46],"benchmarks":[47],"compare":[49],"computers":[50,197],"without":[51],"considering":[52],"variability.":[53],"This":[54],"may":[55],"lead":[56],"wrong":[58],"conclusions.":[59],"In":[60],"this":[61],"paper,":[62],"we":[63],"propose":[64],"three":[65],"resampling":[66],"for":[68,76,93,130],"evaluation":[70],"comparison:":[72],"randomization":[74,102],"test":[75,103,150],"general":[78],"comparison":[80,133],"between":[81,112],"two":[82,196],"computers,":[83],"bootstrapping":[84,122],"confidence":[85,123,128],"estimation,":[86],"an":[88,126],"empirical":[89],"distribution":[90],"five-number-summary":[92,165],"evaluation.":[95],"The":[96],"results":[97,173],"show":[98,186],"that":[99,187],"1)":[100],"substantially":[104],"improves":[105],"our":[106,188],"chance":[107],"identify":[109],"difference":[111,117,144],"comparisons":[114],"when":[115,142,195],"not":[119,153],"large;":[120],"2)":[121],"estimation":[124],"provides":[125],"accurate":[127],"interval":[129],"measure":[134],"(e.g.":[135],"ratio":[136],"means);":[139],"3)":[141],"very":[146,199],"small,":[147],"single":[149],"often":[152],"enough":[154],"reveal":[156],"nature":[158],"summarize":[167],"performance.":[169],"We":[170],"illustrate":[171],"conclusion":[175],"through":[176],"detailed":[177],"Monte":[178],"Carlo":[179],"simulation":[180],"studies":[181],"real":[183],"examples.":[184],"Results":[185],"are":[190],"precise":[191],"robust":[193],"even":[194],"have":[198],"similar":[200]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2076069845","counts_by_year":[{"year":2018,"cited_by_count":2}],"updated_date":"2025-01-20T17:42:50.699740","created_date":"2016-06-24"}