{"id":"https://openalex.org/W2102914803","doi":"https://doi.org/10.1145/1016568.1016617","title":"Accurate software performance estimation using domain classification and neural networks","display_name":"Accurate software performance estimation using domain classification and neural networks","publication_year":2004,"publication_date":"2004-09-04","ids":{"openalex":"https://openalex.org/W2102914803","doi":"https://doi.org/10.1145/1016568.1016617","mag":"2102914803"},"language":"en","primary_location":{"id":"doi:10.1145/1016568.1016617","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1016568.1016617","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th symposium on Integrated circuits and system design","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/A5058779873","display_name":"M\u00e1rcio Seiji Oyamada","orcid":"https://orcid.org/0000-0002-6354-8917"},"institutions":[{"id":"https://openalex.org/I130442723","display_name":"Universidade Federal do Rio Grande do Sul","ror":"https://ror.org/041yk2d64","country_code":"BR","type":"education","lineage":["https://openalex.org/I130442723"]},{"id":"https://openalex.org/I193876067","display_name":"Universidade Estadual do Oeste do Paran\u00e1","ror":"https://ror.org/05ne20t07","country_code":"BR","type":"education","lineage":["https://openalex.org/I193876067"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"M\u00e1rcio Seiji Oyamada","raw_affiliation_strings":["Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil and Universidade Estadual do Oeste do Paran\u00e1, Cascavel, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil and Universidade Estadual do Oeste do Paran\u00e1, Cascavel, Brazil","institution_ids":["https://openalex.org/I193876067","https://openalex.org/I130442723"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012073805","display_name":"Felipe Zschornack","orcid":null},"institutions":[{"id":"https://openalex.org/I130442723","display_name":"Universidade Federal do Rio Grande do Sul","ror":"https://ror.org/041yk2d64","country_code":"BR","type":"education","lineage":["https://openalex.org/I130442723"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Felipe Zschornack","raw_affiliation_strings":["Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil","institution_ids":["https://openalex.org/I130442723"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058155284","display_name":"Fl\u00e1vio Rech Wagner","orcid":"https://orcid.org/0000-0003-2199-2785"},"institutions":[{"id":"https://openalex.org/I130442723","display_name":"Universidade Federal do Rio Grande do Sul","ror":"https://ror.org/041yk2d64","country_code":"BR","type":"education","lineage":["https://openalex.org/I130442723"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Fl\u00e1vio Rech Wagner","raw_affiliation_strings":["Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil","institution_ids":["https://openalex.org/I130442723"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.53,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.6623107,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"175","last_page":"180"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T10933","display_name":"Real-Time Systems Scheduling","score":0.9990000128746033,"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":0.9983999729156494,"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/computer-science","display_name":"Computer science","score":0.8387210369110107},{"id":"https://openalex.org/keywords/design-space-exploration","display_name":"Design space exploration","score":0.6735385656356812},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6679015755653381},{"id":"https://openalex.org/keywords/cache","display_name":"Cache","score":0.5399307012557983},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5215197205543518},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.49521127343177795},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.43986788392066956},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.4373665452003479},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.42730778455734253},{"id":"https://openalex.org/keywords/branch-predictor","display_name":"Branch predictor","score":0.42551666498184204},{"id":"https://openalex.org/keywords/pipeline-transport","display_name":"Pipeline transport","score":0.41177183389663696},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3345297873020172},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3217581808567047},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.2901964783668518},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.2190651297569275}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8387210369110107},{"id":"https://openalex.org/C2776221188","wikidata":"https://www.wikidata.org/wiki/Q21072556","display_name":"Design space exploration","level":2,"score":0.6735385656356812},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6679015755653381},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.5399307012557983},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5215197205543518},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.49521127343177795},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.43986788392066956},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4373665452003479},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.42730778455734253},{"id":"https://openalex.org/C168522837","wikidata":"https://www.wikidata.org/wiki/Q679552","display_name":"Branch predictor","level":2,"score":0.42551666498184204},{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.41177183389663696},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3345297873020172},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3217581808567047},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.2901964783668518},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.2190651297569275},{"id":"https://openalex.org/C87717796","wikidata":"https://www.wikidata.org/wiki/Q146326","display_name":"Environmental engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1016568.1016617","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1016568.1016617","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th symposium on Integrated circuits and system design","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.7699999809265137}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1856735483","https://openalex.org/W1884441681","https://openalex.org/W2004051654","https://openalex.org/W2096533652","https://openalex.org/W2102409396","https://openalex.org/W2107971662","https://openalex.org/W2117539868","https://openalex.org/W2120909868","https://openalex.org/W2137901020","https://openalex.org/W2138697832","https://openalex.org/W2138952175","https://openalex.org/W2150427624","https://openalex.org/W2156106415","https://openalex.org/W2249846468","https://openalex.org/W2505236094","https://openalex.org/W4242096891"],"related_works":["https://openalex.org/W4282568311","https://openalex.org/W4313484792","https://openalex.org/W2951473296","https://openalex.org/W2883928845","https://openalex.org/W4288420200","https://openalex.org/W4285346947","https://openalex.org/W4365793791","https://openalex.org/W3145095675","https://openalex.org/W3134072570","https://openalex.org/W2171195786"],"abstract_inverted_index":{"For":[0],"the":[1,32,49,52,78,109,113,135,140,143],"design":[2,45],"of":[3,11,31,51,112,125,139,145,160,169,175],"an":[4],"embedded":[5,33],"system,":[6],"there":[7],"is":[8,40,127,178],"a":[9,17,37,43,74,96,158,166,172],"variety":[10,159],"available":[12],"processors,":[13],"each":[14],"one":[15],"offering":[16],"different":[18],"trade-off":[19],"concerning":[20],"factors":[21],"such":[22,62,117],"as":[23,63],"performance":[24,29,103],"and":[25,69,148,171,187],"power":[26],"consumption.":[27],"High-level":[28],"estimation":[30,163],"software":[34],"implemented":[35],"in":[36,116,151],"particular":[38],"architecture":[39],"essential":[41],"for":[42,101,122],"fast":[44],"space":[46],"exploration,":[47],"including":[48],"choice":[50],"most":[53],"appropriate":[54],"processor.":[55],"However,":[56],"advanced":[57,118],"architectures":[58],"present":[59],"many":[60],"features,":[61],"deep":[64],"pipelines,":[65],"branch":[66],"prediction":[67],"mechanisms":[68],"cache":[70],"sizes,":[71],"that":[72],"have":[73],"non-linear":[75,110,188],"impact":[76],"on":[77,130,157,185],"execution":[79,114],"time,":[80],"which":[81,105,177],"becomes":[82],"hard":[83],"to":[84,88,108],"evaluate.":[85],"In":[86],"order":[87],"cope":[89],"with":[90,165],"this":[91,93],"problem,":[92],"paper":[94],"presents":[95],"neural":[97],"network":[98],"based":[99,129,184],"approach":[100],"high-level":[102],"estimation,":[104],"easily":[106],"adapts":[107],"behavior":[111],"time":[115],"architectures.":[119],"A":[120],"method":[121],"automatic":[123],"classification":[124],"applications":[126],"proposed,":[128],"topological":[131],"information":[132],"extracted":[133],"from":[134],"control":[136],"flow":[137],"graph":[138],"application,":[141],"enabling":[142],"utilization":[144],"domain-specific":[146],"estimators":[147],"thus":[149],"resulting":[150],"more":[152,179],"accurate":[153],"estimates.":[154],"Practical":[155],"experiments":[156],"benchmarks":[161],"show":[162],"results":[164],"mean":[167],"error":[168,174],"6.41%":[170],"maximum":[173],"32%,":[176],"precise":[180],"than":[181],"previous":[182],"work":[183],"linear":[186],"approaches.":[189]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}