{"id":"https://openalex.org/W2096858484","doi":"https://doi.org/10.1109/hpca.2006.1598116","title":"Construction and Use of Linear Regression Models for Processor Performance Analysis","display_name":"Construction and Use of Linear Regression Models for Processor Performance Analysis","publication_year":2006,"publication_date":"2006-03-21","ids":{"openalex":"https://openalex.org/W2096858484","doi":"https://doi.org/10.1109/hpca.2006.1598116","mag":"2096858484"},"language":"en","primary_location":{"id":"doi:10.1109/hpca.2006.1598116","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpca.2006.1598116","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Twelfth International Symposium on High-Performance Computer Architecture, 2006.","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/A5113484801","display_name":"P.J. Joseph","orcid":null},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"P.J. Joseph","raw_affiliation_strings":["Department of Computer Science & Automation, Indian Institute of Science, Bangalore, India","Dept of Computer Science & Automation, Indian Institute of Science, Bangalore, India#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Automation, Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]},{"raw_affiliation_string":"Dept of Computer Science & Automation, Indian Institute of Science, Bangalore, India#TAB#","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011779401","display_name":"Kapil Vaswani","orcid":null},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K. Vaswani","raw_affiliation_strings":["Department of Computer Science & Automation, Indian Institute of Science, Bangalore, India","Dept of Computer Science & Automation, Indian Institute of Science, Bangalore, India#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Automation, Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]},{"raw_affiliation_string":"Dept of Computer Science & Automation, Indian Institute of Science, Bangalore, India#TAB#","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027487670","display_name":"Matthew J. Thazhuthaveetil","orcid":"https://orcid.org/0009-0007-1550-8121"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"M.J. Thazhuthaveetil","raw_affiliation_strings":["Department of Computer Science & Automation, Indian Institute of Science, Bangalore, India","Dept of Computer Science & Automation, Indian Institute of Science, Bangalore, India#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Automation, Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]},{"raw_affiliation_string":"Dept of Computer Science & Automation, Indian Institute of Science, Bangalore, India#TAB#","institution_ids":["https://openalex.org/I59270414"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5113484801"],"corresponding_institution_ids":["https://openalex.org/I59270414"],"apc_list":null,"apc_paid":null,"fwci":14.2078,"has_fulltext":false,"cited_by_count":193,"citation_normalized_percentile":{"value":0.99307395,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9993000030517578,"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/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9975000023841858,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7451552152633667},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.555269181728363},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5506028532981873},{"id":"https://openalex.org/keywords/akaike-information-criterion","display_name":"Akaike information criterion","score":0.5486994981765747},{"id":"https://openalex.org/keywords/design-space-exploration","display_name":"Design space exploration","score":0.49536168575286865},{"id":"https://openalex.org/keywords/iterative-and-incremental-development","display_name":"Iterative and incremental development","score":0.46384575963020325},{"id":"https://openalex.org/keywords/linear-model","display_name":"Linear model","score":0.42110005021095276},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.41158726811408997},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.23247754573822021},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.10646507143974304},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.09955620765686035}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7451552152633667},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.555269181728363},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5506028532981873},{"id":"https://openalex.org/C126674687","wikidata":"https://www.wikidata.org/wiki/Q1662573","display_name":"Akaike information criterion","level":2,"score":0.5486994981765747},{"id":"https://openalex.org/C2776221188","wikidata":"https://www.wikidata.org/wiki/Q21072556","display_name":"Design space exploration","level":2,"score":0.49536168575286865},{"id":"https://openalex.org/C143587482","wikidata":"https://www.wikidata.org/wiki/Q1543216","display_name":"Iterative and incremental development","level":2,"score":0.46384575963020325},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.42110005021095276},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.41158726811408997},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.23247754573822021},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.10646507143974304},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.09955620765686035},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/hpca.2006.1598116","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpca.2006.1598116","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Twelfth International Symposium on High-Performance Computer Architecture, 2006.","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.iisc.ac.in:30712","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196309","display_name":"NOT FOUND REPOSITORY (Indian Institute of Science Bangalore)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I59270414","host_organization_name":"Indian Institute of Science Bangalore","host_organization_lineage":["https://openalex.org/I59270414"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.113.9435","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.113.9435","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://drona.csa.iisc.ernet.in/~mjt/papers/HPCA06.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.143.2390","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.143.2390","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://drona.csa.iisc.ernet.in/~mjt/papers/HPCA2006.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.601.4812","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.601.4812","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://research.microsoft.com/pubs/78341/construction and use of linear regression models for processor performance analysis.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7900000214576721,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1968371014","https://openalex.org/W2000836282","https://openalex.org/W2006901874","https://openalex.org/W2025106479","https://openalex.org/W2049668033","https://openalex.org/W2058815839","https://openalex.org/W2060234492","https://openalex.org/W2073617099","https://openalex.org/W2096365807","https://openalex.org/W2096858484","https://openalex.org/W2106449576","https://openalex.org/W2114509705","https://openalex.org/W2116108132","https://openalex.org/W2130496984","https://openalex.org/W2131667412","https://openalex.org/W2133877928","https://openalex.org/W2156359950","https://openalex.org/W2163290010","https://openalex.org/W2163403936","https://openalex.org/W2164376452","https://openalex.org/W2165423885","https://openalex.org/W2243964973","https://openalex.org/W2800782238","https://openalex.org/W4232371286","https://openalex.org/W4242976792","https://openalex.org/W4243970730","https://openalex.org/W4247501327","https://openalex.org/W4253317936","https://openalex.org/W4301505765","https://openalex.org/W6679660563"],"related_works":["https://openalex.org/W2419069092","https://openalex.org/W63065332","https://openalex.org/W1990738922","https://openalex.org/W3093365844","https://openalex.org/W2983071886","https://openalex.org/W397719029","https://openalex.org/W2023538514","https://openalex.org/W4283650582","https://openalex.org/W4200124026","https://openalex.org/W2775379093"],"abstract_inverted_index":{"Processor":[0],"architects":[1,23],"have":[2],"a":[3,8,63,68,116,126],"challenging":[4],"task":[5],"of":[6,13,71,105,141],"evaluating":[7],"large":[9],"design":[10,27],"space":[11],"consisting":[12],"several":[14],"interacting":[15],"parameters":[16,114,132],"and":[17,73,133,136],"optimizations.":[18],"In":[19],"order":[20],"to":[21,38,61,101,110],"assist":[22],"in":[24,54],"making":[25],"crucial":[26],"decisions,":[28],"we":[29],"build":[30],"linear":[31,65],"regression":[32],"models":[33,49,124],"that":[34],"relate":[35],"processor":[36,120],"performance":[37,108,139],"micro-architectural":[39,113,131,142],"parameters,":[40],"using":[41,50,82,115],"simulation":[42,76],"based":[43],"experiments.":[44],"We":[45,97],"obtain":[46],"good":[47,64],"approximate":[48],"an":[51],"iterative":[52,87],"process":[53,88],"which":[55],"Akaike's":[56],"information":[57],"criteria":[58],"is":[59,77,89],"used":[60,98],"extract":[62],"model":[66,81],"from":[67],"small":[69],"set":[70],"simulations,":[72],"limited":[74],"further":[75],"guided":[78],"by":[79],"the":[80,103,106,138],"D-optimal":[83],"experimental":[84],"designs.":[85],"The":[86,122],"repeated":[90],"until":[91],"desired":[92],"error":[93],"bounds":[94],"are":[95],"achieved.":[96],"this":[99],"procedure":[100],"establish":[102],"relationship":[104],"CPI":[107],"response":[109],"26":[111],"key":[112],"detailed":[117],"cycle-by-cycle":[118],"superscalar":[119],"simulator.":[121],"resulting":[123],"provide":[125],"significance":[127],"ordering":[128],"on":[129],"all":[130],"their":[134],"interactions,":[135],"explain":[137],"variations":[140],"techniques.":[143]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":12},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":12},{"year":2014,"cited_by_count":14},{"year":2013,"cited_by_count":14},{"year":2012,"cited_by_count":15}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
