{"id":"https://openalex.org/W2126749581","doi":"https://doi.org/10.1109/vts.2011.5783727","title":"Exponent monitoring for low-cost concurrent error detection in FPU control logic","display_name":"Exponent monitoring for low-cost concurrent error detection in FPU control logic","publication_year":2011,"publication_date":"2011-05-01","ids":{"openalex":"https://openalex.org/W2126749581","doi":"https://doi.org/10.1109/vts.2011.5783727","mag":"2126749581"},"language":"en","primary_location":{"id":"doi:10.1109/vts.2011.5783727","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vts.2011.5783727","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"29th VLSI Test Symposium","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/A5043325974","display_name":"Michail Maniatakos","orcid":"https://orcid.org/0000-0001-6899-0651"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Michail Maniatakos","raw_affiliation_strings":["EE Department, Yale University, USA","[EE Department, Yale University, USA]"],"affiliations":[{"raw_affiliation_string":"EE Department, Yale University, USA","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"[EE Department, Yale University, USA]","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078818440","display_name":"Yiorgos Makris","orcid":"https://orcid.org/0000-0002-4322-0068"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yiorgos Makris","raw_affiliation_strings":["EE & CS Departments, Yale University, USA","[EE & CS Departments, Yale University, USA]"],"affiliations":[{"raw_affiliation_string":"EE & CS Departments, Yale University, USA","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"[EE & CS Departments, Yale University, USA]","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080747890","display_name":"Prabhakar Kudva","orcid":"https://orcid.org/0000-0003-0854-8612"},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Prabhakar Kudva","raw_affiliation_strings":["IBM Thomas J. Watson Research Center, USA","IBM T. J. Watson Research Center, USA"],"affiliations":[{"raw_affiliation_string":"IBM Thomas J. Watson Research Center, USA","institution_ids":["https://openalex.org/I4210114115"]},{"raw_affiliation_string":"IBM T. J. Watson Research Center, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072965417","display_name":"Bruce Fleischer","orcid":"https://orcid.org/0000-0002-7033-1564"},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bruce Fleischer","raw_affiliation_strings":["IBM Thomas J. Watson Research Center, USA","IBM T. J. Watson Research Center, USA"],"affiliations":[{"raw_affiliation_string":"IBM Thomas J. Watson Research Center, USA","institution_ids":["https://openalex.org/I4210114115"]},{"raw_affiliation_string":"IBM T. J. Watson Research Center, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5043325974"],"corresponding_institution_ids":["https://openalex.org/I32971472"],"apc_list":null,"apc_paid":null,"fwci":0.5299,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.71652367,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"c 23","issue":null,"first_page":"235","last_page":"240"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11005","display_name":"Radiation Effects in Electronics","score":0.9998000264167786,"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/T11005","display_name":"Radiation Effects in Electronics","score":0.9998000264167786,"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/T10363","display_name":"Low-power high-performance VLSI design","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"}},{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9994000196456909,"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/datapath","display_name":"Datapath","score":0.8103199005126953},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6276365518569946},{"id":"https://openalex.org/keywords/control-logic","display_name":"Control logic","score":0.6060715913772583},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5965114235877991},{"id":"https://openalex.org/keywords/exponent","display_name":"Exponent","score":0.5379832983016968},{"id":"https://openalex.org/keywords/floating-point","display_name":"Floating point","score":0.4783558249473572},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4514526128768921},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3036864399909973}],"concepts":[{"id":"https://openalex.org/C2781198647","wikidata":"https://www.wikidata.org/wiki/Q1633673","display_name":"Datapath","level":2,"score":0.8103199005126953},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6276365518569946},{"id":"https://openalex.org/C2776350369","wikidata":"https://www.wikidata.org/wiki/Q843479","display_name":"Control logic","level":2,"score":0.6060715913772583},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5965114235877991},{"id":"https://openalex.org/C2780388253","wikidata":"https://www.wikidata.org/wiki/Q5421508","display_name":"Exponent","level":2,"score":0.5379832983016968},{"id":"https://openalex.org/C84211073","wikidata":"https://www.wikidata.org/wiki/Q117879","display_name":"Floating point","level":2,"score":0.4783558249473572},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4514526128768921},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3036864399909973},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vts.2011.5783727","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vts.2011.5783727","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"29th VLSI Test Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.800000011920929,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1547613762","https://openalex.org/W1985545797","https://openalex.org/W1990458532","https://openalex.org/W2020888328","https://openalex.org/W2025017266","https://openalex.org/W2028883479","https://openalex.org/W2031011305","https://openalex.org/W2079072299","https://openalex.org/W2096927458","https://openalex.org/W2097596884","https://openalex.org/W2099959439","https://openalex.org/W2119009318","https://openalex.org/W2123379964","https://openalex.org/W2125901882","https://openalex.org/W2153871289","https://openalex.org/W2155161304","https://openalex.org/W2166410293","https://openalex.org/W2169004268","https://openalex.org/W2174635824","https://openalex.org/W2204310803","https://openalex.org/W2979730858","https://openalex.org/W6655610487","https://openalex.org/W6678440430"],"related_works":["https://openalex.org/W2109699519","https://openalex.org/W2006568360","https://openalex.org/W102726818","https://openalex.org/W4233616027","https://openalex.org/W2059591361","https://openalex.org/W2123623986","https://openalex.org/W2102101196","https://openalex.org/W2165601350","https://openalex.org/W1603782859","https://openalex.org/W2145816399"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,15,178,190,200],"non-intrusive":[3],"concurrent":[4],"error":[5],"detection":[6,134],"(CED)":[7],"method":[8,23,78,123,149,182,187],"for":[9,183,194],"protecting":[10],"the":[11,27,43,47,63,67,70,84,89,93,99,119,142,147,151,163,184,195,214],"control":[12,30,64,90,108,144,172],"logic":[13,31,65,91,109],"of":[14,46,66,87,92,116,118,128,135,138,154,158,171,202,204,211,213],"contemporary":[16],"floating":[17,50],"point":[18,51],"unit":[19],"(FPU).":[20],"The":[21],"proposed":[22,148],"is":[24],"based":[25],"on":[26,98],"observation":[28],"that":[29,161],"errors":[32,61,140,160,206],"lead":[33],"to":[34,59,107,189],"extensive":[35],"datapath":[36,159],"corruption":[37],"and":[38],"affect,":[39],"with":[40,177],"high":[41],"probability,":[42],"exponent":[44,54,71],"part":[45],"IEEE":[48],"754":[49],"representation.":[52],"Thus,":[53],"monitoring":[55],"can":[56],"be":[57,167],"utilized":[58],"detect":[60],"in":[62,141],"FPU.":[68,94],"Predicting":[69],"involves":[72],"relatively":[73],"simple":[74],"operations,":[75],"therefore":[76],"our":[77,122,186],"incurs":[79,112,124],"significantly":[80],"lower":[81],"overhead":[82,115,127],"than":[83],"classical":[85,179],"approach":[86],"duplicating":[88],"Indeed,":[95],"experimental":[96],"results":[97],"openSPARC":[100],"T1":[101],"processor":[102],"show":[103],"that,":[104],"as":[105],"compared":[106],"duplication,":[110],"which":[111,165,198],"an":[113,125,208],"area":[114,126,209],"17.9%":[117],"FPU":[120,143,197,215],"size,":[121],"only":[129],"5.8%":[130],"yet":[131],"still":[132],"achieves":[133],"over":[136],"95%":[137],"transient":[139],"logic.":[145,173],"Moreover,":[146],"offers":[150],"ancillary":[152],"benefit":[153],"also":[155],"detecting":[156],"98.1%":[157],"affect":[162],"exponent,":[164],"cannot":[166],"detected":[168],"via":[169],"duplication":[170],"Finally,":[174],"when":[175],"combined":[176],"residue":[180],"code-based":[181],"fraction,":[185],"leads":[188],"complete":[191],"CED":[192],"solution":[193],"entire":[196],"provides":[199],"coverage":[201],"94.4%":[203],"all":[205],"at":[207],"cost":[210],"16.32%":[212],"size.":[216]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
