{"id":"https://openalex.org/W2074610787","doi":"https://doi.org/10.1109/hpca.2015.7056055","title":"Correction prediction: Reducing error correction latency for on-chip memories","display_name":"Correction prediction: Reducing error correction latency for on-chip memories","publication_year":2015,"publication_date":"2015-02-01","ids":{"openalex":"https://openalex.org/W2074610787","doi":"https://doi.org/10.1109/hpca.2015.7056055","mag":"2074610787"},"language":"en","primary_location":{"id":"doi:10.1109/hpca.2015.7056055","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpca.2015.7056055","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 21st International Symposium on High Performance Computer Architecture (HPCA)","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/A5050514356","display_name":"Henry Duwe","orcid":"https://orcid.org/0000-0003-2310-7399"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Henry Duwe","raw_affiliation_strings":["University of Illinois at Urbana-Champaign","University of Illinois at Urbana Champaign"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"University of Illinois at Urbana Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077598145","display_name":"Xun Jian","orcid":"https://orcid.org/0000-0002-7120-7426"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xun Jian","raw_affiliation_strings":["University of Illinois at Urbana-Champaign","University of Illinois at Urbana Champaign"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"University of Illinois at Urbana Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067547869","display_name":"Rakesh Kumar","orcid":"https://orcid.org/0000-0002-3290-2629"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rakesh Kumar","raw_affiliation_strings":["University of Illinois at Urbana-Champaign","University of Illinois at Urbana Champaign"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"University of Illinois at Urbana Champaign","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0084,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.87886245,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"20","issue":null,"first_page":"463","last_page":"475"},"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9998999834060669,"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/T11005","display_name":"Radiation Effects in Electronics","score":0.9995999932289124,"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":0.7702289819717407},{"id":"https://openalex.org/keywords/error-detection-and-correction","display_name":"Error detection and correction","score":0.6959813237190247},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.6441558003425598},{"id":"https://openalex.org/keywords/cache","display_name":"Cache","score":0.619276762008667},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5275352001190186},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.5095329880714417},{"id":"https://openalex.org/keywords/chip","display_name":"Chip","score":0.4979715347290039},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.46982264518737793},{"id":"https://openalex.org/keywords/static-random-access-memory","display_name":"Static random-access memory","score":0.4427649676799774},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36918872594833374},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.20632797479629517},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10169592499732971}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7702289819717407},{"id":"https://openalex.org/C103088060","wikidata":"https://www.wikidata.org/wiki/Q1062839","display_name":"Error detection and correction","level":2,"score":0.6959813237190247},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.6441558003425598},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.619276762008667},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5275352001190186},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.5095329880714417},{"id":"https://openalex.org/C165005293","wikidata":"https://www.wikidata.org/wiki/Q1074500","display_name":"Chip","level":2,"score":0.4979715347290039},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.46982264518737793},{"id":"https://openalex.org/C68043766","wikidata":"https://www.wikidata.org/wiki/Q267416","display_name":"Static random-access memory","level":2,"score":0.4427649676799774},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36918872594833374},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.20632797479629517},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10169592499732971},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hpca.2015.7056055","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpca.2015.7056055","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 21st International Symposium on High Performance Computer Architecture (HPCA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8700000047683716,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1518236483","https://openalex.org/W1702767802","https://openalex.org/W1753784006","https://openalex.org/W1894651528","https://openalex.org/W1980242590","https://openalex.org/W1998525920","https://openalex.org/W2002038549","https://openalex.org/W2003313945","https://openalex.org/W2004965314","https://openalex.org/W2051614723","https://openalex.org/W2067168777","https://openalex.org/W2103498248","https://openalex.org/W2116175063","https://openalex.org/W2132301251","https://openalex.org/W2134026160","https://openalex.org/W2134682810","https://openalex.org/W2136444750","https://openalex.org/W2147657366","https://openalex.org/W2153014736","https://openalex.org/W2154509298","https://openalex.org/W2161648335","https://openalex.org/W2170382128","https://openalex.org/W2537224236","https://openalex.org/W4236135525","https://openalex.org/W4238002809","https://openalex.org/W4244096863","https://openalex.org/W6637390465","https://openalex.org/W6677377052"],"related_works":["https://openalex.org/W4392590355","https://openalex.org/W3151633427","https://openalex.org/W2212894501","https://openalex.org/W2793465010","https://openalex.org/W3024050170","https://openalex.org/W2109451123","https://openalex.org/W4378977321","https://openalex.org/W1976168335","https://openalex.org/W4308090481","https://openalex.org/W168676510"],"abstract_inverted_index":{"The":[0],"reliability":[1],"of":[2,72,81,103,168],"on-chip":[3,57],"memories":[4,22],"(e.g.,":[5],"caches)":[6],"determines":[7],"their":[8],"minimum":[9],"operating":[10],"voltage":[11,42],"(V":[12],"<sub":[13],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[14],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">min</sub>":[15],")":[16],"and,":[17],"therefore,":[18],"the":[19,34,56,70,78,88,92,101,104,127,143,148,166],"power":[20],"these":[21],"consume.":[23],"A":[24],"strong":[25,46,73,95,159],"error":[26,47,74,96,123,160],"correction":[27,48,63,75,97,113,124,128,161],"mechanism":[28,68,125],"can":[29],"be":[30],"used":[31],"to":[32,55,76,99,156],"tolerate":[33],"increasing":[35],"memory":[36,58],"cell":[37],"failure":[38],"rate":[39],"as":[40,126],"supply":[41],"is":[43],"reduced.":[44],"However,":[45],"often":[49],"incurs":[50],"a":[51,66,111,119,133,158,169],"high":[52],"latency":[53,80,94,152],"relative":[54],"access":[59,151],"time.":[60],"We":[61,109],"propose":[62],"prediction":[64,114],"where":[65],"fast":[67],"predicts":[69],"result":[71],"hide":[77],"long":[79,93],"correction.":[82],"Subsequent":[83],"pipeline":[84],"stages":[85],"execute":[86],"using":[87,157],"predicted":[89,105],"values":[90,106],"while":[91],"attempts":[98],"verify":[100],"correctness":[102],"in":[107],"parallel.":[108],"present":[110],"simple":[112],"implementation,":[115,145],"CP,":[116,146],"which":[117],"uses":[118],"fast,":[120],"but":[121],"weak":[122],"predictor.":[129],"Our":[130],"evaluations":[131],"for":[132],"32KB":[134],"4-way":[135],"set":[136],"associative":[137],"SRAM":[138],"L1":[139],"cache":[140,150],"show":[141],"that":[142],"proposed":[144],"reduces":[147,165],"average":[149],"by":[153,173],"38%-52%":[154],"compared":[155],"scheme":[162],"alone.":[163],"This":[164],"energy":[167],"2-issue":[170],"in-order":[171],"core":[172],"16%-21%.":[174]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}