{"id":"https://openalex.org/W2604320671","doi":"https://doi.org/10.1109/tvlsi.2017.2684816","title":"Approximate Error Detection With Stochastic Checkers","display_name":"Approximate Error Detection With Stochastic Checkers","publication_year":2017,"publication_date":"2017-04-03","ids":{"openalex":"https://openalex.org/W2604320671","doi":"https://doi.org/10.1109/tvlsi.2017.2684816","mag":"2604320671"},"language":"en","primary_location":{"id":"doi:10.1109/tvlsi.2017.2684816","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvlsi.2017.2684816","pdf_url":null,"source":{"id":"https://openalex.org/S37538908","display_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","issn_l":"1063-8210","issn":["1063-8210","1557-9999"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","raw_type":"journal-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/A5007490713","display_name":"Neel Gala","orcid":"https://orcid.org/0000-0001-8611-6511"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"education","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Neel Gala","raw_affiliation_strings":["Department of Computer Science and Engineering, Indian Institute of Technology Madras, Chennai, India"],"raw_orcid":"https://orcid.org/0000-0001-8611-6511","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology Madras, Chennai, India","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010094713","display_name":"Swagath Venkataramani","orcid":"https://orcid.org/0000-0002-0470-6364"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Swagath Venkataramani","raw_affiliation_strings":["School of Electronics and Communication Engineering, Purdue University, West Lafayette, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Communication Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065766721","display_name":"Anand Raghunathan","orcid":"https://orcid.org/0000-0002-4624-564X"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anand Raghunathan","raw_affiliation_strings":["School of Electronics and Communication Engineering, Purdue University, West Lafayette, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Communication Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010004459","display_name":"V. Kamakoti","orcid":null},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"education","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"V. Kamakoti","raw_affiliation_strings":["Department of Computer Science and Engineering, Indian Institute of Technology Madras, Chennai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology Madras, Chennai, India","institution_ids":["https://openalex.org/I24676775"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4224,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.62972836,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"25","issue":"8","first_page":"2258","last_page":"2270"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11005","display_name":"Radiation Effects in Electronics","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/T11005","display_name":"Radiation Effects in Electronics","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/T10363","display_name":"Low-power high-performance VLSI design","score":0.9998999834060669,"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":0.9988999962806702,"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/stochastic-computing","display_name":"Stochastic computing","score":0.92365562915802},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7635787725448608},{"id":"https://openalex.org/keywords/error-detection-and-correction","display_name":"Error detection and correction","score":0.5124828815460205},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.47913119196891785},{"id":"https://openalex.org/keywords/cmos","display_name":"CMOS","score":0.46295103430747986},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.45996788144111633},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.45002466440200806},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.40370574593544006},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3947734236717224},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14504969120025635},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.11506664752960205}],"concepts":[{"id":"https://openalex.org/C2780971903","wikidata":"https://www.wikidata.org/wiki/Q2933705","display_name":"Stochastic computing","level":3,"score":0.92365562915802},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7635787725448608},{"id":"https://openalex.org/C103088060","wikidata":"https://www.wikidata.org/wiki/Q1062839","display_name":"Error detection and correction","level":2,"score":0.5124828815460205},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.47913119196891785},{"id":"https://openalex.org/C46362747","wikidata":"https://www.wikidata.org/wiki/Q173431","display_name":"CMOS","level":2,"score":0.46295103430747986},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.45996788144111633},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.45002466440200806},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.40370574593544006},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3947734236717224},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14504969120025635},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.11506664752960205},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvlsi.2017.2684816","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvlsi.2017.2684816","pdf_url":null,"source":{"id":"https://openalex.org/S37538908","display_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","issn_l":"1063-8210","issn":["1063-8210","1557-9999"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1970806136","https://openalex.org/W2003056114","https://openalex.org/W2005865544","https://openalex.org/W2007951014","https://openalex.org/W2010468809","https://openalex.org/W2020827807","https://openalex.org/W2026005150","https://openalex.org/W2031547998","https://openalex.org/W2051898848","https://openalex.org/W2077344647","https://openalex.org/W2093055916","https://openalex.org/W2112616228","https://openalex.org/W2116359224","https://openalex.org/W2116676915","https://openalex.org/W2134698135","https://openalex.org/W2150117262","https://openalex.org/W2161033118","https://openalex.org/W2296101864","https://openalex.org/W3120740533","https://openalex.org/W4205623694","https://openalex.org/W4234941233","https://openalex.org/W4236432903","https://openalex.org/W4251846933","https://openalex.org/W4253998042","https://openalex.org/W6663763761"],"related_works":["https://openalex.org/W4226092179","https://openalex.org/W4306791972","https://openalex.org/W4390846322","https://openalex.org/W3212867030","https://openalex.org/W2910319223","https://openalex.org/W2946056769","https://openalex.org/W1740594162","https://openalex.org/W2394408226","https://openalex.org/W4205483694","https://openalex.org/W4389168214"],"abstract_inverted_index":{"Designing":[0],"reliable":[1],"systems,":[2],"while":[3,202],"eschewing":[4],"the":[5,18,31,92,110,136,158],"high":[6,204],"overheads":[7,188],"of":[8,34,113,122,138,157,176],"conventional":[9],"fault":[10,199],"tolerance":[11,200],"techniques,":[12],"is":[13,164],"a":[14,64,155,174],"critical":[15],"challenge":[16,137],"in":[17,71,94,132],"deeply":[19],"scaled":[20],"CMOS":[21],"and":[22,43,84,191,206],"post-CMOS":[23],"era.":[24],"To":[25,90,134],"address":[26,135],"this":[27],"challenge,":[28],"we":[29,116,143,179],"leverage":[30],"intrinsic":[32],"resilience":[33],"application":[35],"domains":[36],"such":[37],"as":[38,63,97,99,105],"multimedia,":[39],"recognition,":[40],"mining,":[41],"search,":[42],"analytics":[44],"where":[45],"acceptable":[46],"outputs":[47,103],"are":[48,81],"produced":[49],"despite":[50],"occasional":[51],"approximate":[52,73,111],"computations.":[53],"We":[54],"propose":[55,117,144],"stochastic":[56,61,114,123,182],"checkers":[57,80,183],"(checkers":[58],"designed":[59],"using":[60],"logic)":[62],"new":[65],"approach":[66],"to":[67,109,185],"performing":[68],"error":[69,95,140],"checking":[70,146],"an":[72,150],"manner":[74],"at":[75],"greatly":[76,186],"reduced":[77,187],"overheads.":[78,133],"Stochastic":[79],"inherently":[82],"inaccurate":[83],"require":[85],"long":[86,139],"latencies":[87],"for":[88],"computation.":[89],"limit":[91],"loss":[93],"coverage,":[96],"well":[98],"false":[100,209],"positives":[101],"(correct":[102],"flagged":[104],"erroneous),":[106],"caused":[107],"due":[108],"nature":[112],"checkers,":[115],"input":[118],"permuted":[119],"partial":[120],"replicas":[121],"logic,":[124],"which":[125],"improves":[126],"their":[127],"accuracy":[128],"with":[129,197],"minimal":[130],"increase":[131],"detection":[141],"latency,":[142],"progressive":[145],"policies":[147],"that":[148,181],"provide":[149],"early":[151],"decision":[152],"based":[153],"on":[154,194],"prefix":[156],"checker's":[159],"output":[160],"bitstream.":[161],"This":[162],"technique":[163],"further":[165],"enhanced":[166],"by":[167],"employing":[168],"progressively":[169],"accurate":[170],"binary-to-stochastic":[171],"converters.":[172],"Across":[173],"suite":[175],"error-resilient":[177],"applications,":[178],"observe":[180],"lead":[184],"(29.5%":[189],"area":[190],"21.5%":[192],"power,":[193],"average)":[195],"compared":[196],"traditional":[198],"techniques":[201],"maintaining":[203],"coverage":[205],"very":[207],"low":[208],"positives.":[210]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}