{"id":"https://openalex.org/W2017539929","doi":"https://doi.org/10.1145/1233501.1233587","title":"Microarchitecture parameter selection to optimize system performance under process variation","display_name":"Microarchitecture parameter selection to optimize system performance under process variation","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W2017539929","doi":"https://doi.org/10.1145/1233501.1233587","mag":"2017539929"},"language":"en","primary_location":{"id":"doi:10.1145/1233501.1233587","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1233501.1233587","pdf_url":null,"source":{"id":"https://openalex.org/S4210177401","display_name":"Digest of technical papers/Digest of technical papers - IEEE/ACM International Conference on Computer-Aided Design","issn_l":"1092-3152","issn":["1092-3152","1558-2434"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2006 IEEE/ACM international conference on Computer-aided design  - ICCAD '06","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/A5056632010","display_name":"Xiaoyao Liang","orcid":"https://orcid.org/0000-0002-2790-5884"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xiaoyao Liang","raw_affiliation_strings":["Division of Engineering and Applied Sciences, Harvard University, 33 Oxford Street, Cambridge MA 02138 USA. xliang@eecs.harvard.edu"],"affiliations":[{"raw_affiliation_string":"Division of Engineering and Applied Sciences, Harvard University, 33 Oxford Street, Cambridge MA 02138 USA. xliang@eecs.harvard.edu","institution_ids":["https://openalex.org/I136199984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026496503","display_name":"David Brooks","orcid":"https://orcid.org/0000-0002-0662-7889"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Brooks","raw_affiliation_strings":["Division of Engineering and Applied Sciences, Harvard University, 33 Oxford Street, Cambridge MA 02138 USA. dbrooks@eecs.harvard.edu"],"affiliations":[{"raw_affiliation_string":"Division of Engineering and Applied Sciences, Harvard University, 33 Oxford Street, Cambridge MA 02138 USA. dbrooks@eecs.harvard.edu","institution_ids":["https://openalex.org/I136199984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5056632010"],"corresponding_institution_ids":["https://openalex.org/I136199984"],"apc_list":null,"apc_paid":null,"fwci":4.2124,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.93665704,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"429","last_page":"429"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10363","display_name":"Low-power high-performance VLSI design","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10363","display_name":"Low-power high-performance VLSI design","score":1.0,"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":0.9998000264167786,"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/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9997000098228455,"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/process-variation","display_name":"Process variation","score":0.7686190605163574},{"id":"https://openalex.org/keywords/microarchitecture","display_name":"Microarchitecture","score":0.7069473266601562},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6401581764221191},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5591276288032532},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5177280306816101},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4132137596607208},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.3881296217441559},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.2620430886745453},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2023925483226776},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.0955190658569336}],"concepts":[{"id":"https://openalex.org/C93389723","wikidata":"https://www.wikidata.org/wiki/Q7247313","display_name":"Process variation","level":3,"score":0.7686190605163574},{"id":"https://openalex.org/C107598950","wikidata":"https://www.wikidata.org/wiki/Q259864","display_name":"Microarchitecture","level":2,"score":0.7069473266601562},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6401581764221191},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5591276288032532},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5177280306816101},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4132137596607208},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.3881296217441559},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.2620430886745453},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2023925483226776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0955190658569336},{"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":2,"locations":[{"id":"doi:10.1145/1233501.1233587","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1233501.1233587","pdf_url":null,"source":{"id":"https://openalex.org/S4210177401","display_name":"Digest of technical papers/Digest of technical papers - IEEE/ACM International Conference on Computer-Aided Design","issn_l":"1092-3152","issn":["1092-3152","1558-2434"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2006 IEEE/ACM international conference on Computer-aided design  - ICCAD '06","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.259.2061","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.259.2061","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cecs.uci.edu/%7Epapers/iccad06/papers/6A_1.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.4099999964237213,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2033443176","https://openalex.org/W2101848657","https://openalex.org/W2105302023","https://openalex.org/W2105303588","https://openalex.org/W2107566947","https://openalex.org/W2112662324","https://openalex.org/W2117648153","https://openalex.org/W2124465240","https://openalex.org/W2126564504","https://openalex.org/W2138351227","https://openalex.org/W2146018705","https://openalex.org/W2150526221","https://openalex.org/W2151556394","https://openalex.org/W2152491218","https://openalex.org/W2153940514","https://openalex.org/W2155822382","https://openalex.org/W2159874000"],"related_works":["https://openalex.org/W2005635288","https://openalex.org/W1592982659","https://openalex.org/W2138574009","https://openalex.org/W4230680500","https://openalex.org/W2534461193","https://openalex.org/W2009873484","https://openalex.org/W2145535077","https://openalex.org/W2131429702","https://openalex.org/W2106119416","https://openalex.org/W4250509850"],"abstract_inverted_index":{"Abstract":[0],"\u2014":[1],"Design":[2],"variability":[3,34,90],"due":[4,87],"to":[5,14,82,88,104,164],"within-die":[6],"and":[7,21,41,111,117,171],"die-todie":[8],"process":[9,30,55,89,186],"variations":[10],"has":[11],"the":[12,17,22,39,62,68,71,84,131,135,165],"potential":[13],"significantly":[15],"reduce":[16],"maximum":[18],"operating":[19],"frequency":[20,85,139],"effective":[23],"yield":[24,138],"of":[25,43,64,70,78,167],"high-performance":[26],"microprocessors":[27],"in":[28,67,183],"future":[29],"technology":[31],"generations.":[32],"This":[33,160],"manifests":[35],"itself":[36],"by":[37,140],"increasing":[38],"number":[40],"criticality":[42],"long":[44],"delay":[45],"paths.":[46],"To":[47],"quantify":[48],"this":[49],"impact,":[50],"we":[51,112,172],"use":[52],"an":[53,101],"architectural":[54],"variation":[56],"model":[57],"that":[58,114,174],"is":[59,162],"appropriate":[60],"for":[61,91,107,149],"analysis":[63,120],"system":[65],"performance":[66],"earlystages":[69],"design":[72,109],"process.":[73],"We":[74,99],"propose":[75,100],"a":[76,150,154],"method":[77],"selecting":[79],"microarchitectural":[80],"parameters":[81],"mitigate":[83],"impact":[86],"distinct":[92],"structures,":[93],"while":[94],"minimizing":[95],"IPC":[96,147],"(instructions-per-cycle)":[97],"loss.":[98],"optimization":[102],"procedure":[103],"be":[105,122],"used":[106],"system-level":[108],"decisions,":[110],"find":[113],"joint":[115],"architecture":[116],"statistical":[118],"timing":[119],"can":[121,133],"more":[123],"advantageous":[124],"than":[125],"pure":[126],"circuit":[127],"level":[128],"optimization.":[129],"Overall,":[130],"technique":[132],"improve":[134],"90":[136],"%":[137,143,146],"about":[141],"14":[142],"with":[144,153,176,185],"3":[145],"loss":[148],"baseline":[151],"machine":[152],"20FO4":[155],"logic":[156],"depth":[157],"per":[158],"pipestage.":[159],"approach":[161],"sensitive":[163],"selection":[166],"processor":[168],"pipeline":[169],"depth,":[170],"demonstrate":[173],"machines":[175],"aggressive":[177],"pipelines":[178],"will":[179],"experience":[180],"greater":[181],"challenges":[182],"coping":[184],"variability.":[187],"I.":[188]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}