{"id":"https://openalex.org/W2947770260","doi":"https://doi.org/10.1109/ddecs.2019.8724672","title":"On the in-field test of the GPGPU scheduler memory","display_name":"On the in-field test of the GPGPU scheduler memory","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2947770260","doi":"https://doi.org/10.1109/ddecs.2019.8724672","mag":"2947770260"},"language":"en","primary_location":{"id":"doi:10.1109/ddecs.2019.8724672","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ddecs.2019.8724672","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 22nd International Symposium on Design and Diagnostics of Electronic Circuits & Systems (DDECS)","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/A5026593274","display_name":"Stefano Di Carlo","orcid":"https://orcid.org/0000-0002-7512-5356"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Stefano di Carlo","raw_affiliation_strings":["Dept. of Control and Computer Engineering, Politecnico di Torino, Torino, Italy"],"affiliations":[{"raw_affiliation_string":"Dept. of Control and Computer Engineering, Politecnico di Torino, Torino, Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107558399","display_name":"Josie E. Rodriguez Condia","orcid":"https://orcid.org/0000-0001-5957-5624"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Josie E. Rodriguez Condia","raw_affiliation_strings":["Dept. of Control and Computer Engineering, Politecnico di Torino, Torino, Italy"],"affiliations":[{"raw_affiliation_string":"Dept. of Control and Computer Engineering, Politecnico di Torino, Torino, Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058555274","display_name":"M. Sonza Reorda","orcid":"https://orcid.org/0000-0003-2899-7669"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Matteo Sonza Reorda","raw_affiliation_strings":["Dept. of Control and Computer Engineering, Politecnico di Torino, Torino, Italy"],"affiliations":[{"raw_affiliation_string":"Dept. of Control and Computer Engineering, Politecnico di Torino, Torino, Italy","institution_ids":["https://openalex.org/I177477856"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5026593274"],"corresponding_institution_ids":["https://openalex.org/I177477856"],"apc_list":null,"apc_paid":null,"fwci":1.6854,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.83185494,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9998999834060669,"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"}},"topics":[{"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10829","display_name":"Interconnection Networks and Systems","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/computer-science","display_name":"Computer science","score":0.8456341028213501},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.7474902868270874},{"id":"https://openalex.org/keywords/general-purpose-computing-on-graphics-processing-units","display_name":"General-purpose computing on graphics processing units","score":0.7445707321166992},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.6153273582458496},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.47096163034439087},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.24575898051261902},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.11607718467712402}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8456341028213501},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.7474902868270874},{"id":"https://openalex.org/C50630238","wikidata":"https://www.wikidata.org/wiki/Q971505","display_name":"General-purpose computing on graphics processing units","level":3,"score":0.7445707321166992},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.6153273582458496},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.47096163034439087},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.24575898051261902},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.11607718467712402}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ddecs.2019.8724672","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ddecs.2019.8724672","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 22nd International Symposium on Design and Diagnostics of Electronic Circuits & Systems (DDECS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8899999856948853}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2000335122","https://openalex.org/W2040542258","https://openalex.org/W2125614145","https://openalex.org/W2141962970","https://openalex.org/W2160428323","https://openalex.org/W2162696040","https://openalex.org/W2896334750"],"related_works":["https://openalex.org/W1963859303","https://openalex.org/W2364044215","https://openalex.org/W2389600408","https://openalex.org/W240129890","https://openalex.org/W3048701459","https://openalex.org/W3213381848","https://openalex.org/W2149078538","https://openalex.org/W2080146221","https://openalex.org/W2370314112","https://openalex.org/W1912958759"],"abstract_inverted_index":{"GPGPUs":[0],"have":[1],"been":[2],"increasingly":[3],"successful":[4],"in":[5,9,30,135],"the":[6,54,68,86,102,131,157],"past":[7],"years":[8],"many":[10],"application":[11,87],"domains,":[12],"due":[13],"to":[14,27,62,100,120,125],"their":[15,43],"high":[16],"parallel":[17],"processing":[18],"capabilities":[19],"and":[20,46,89,166],"energy":[21],"performance.":[22],"More":[23],"recently,":[24],"they":[25],"started":[26],"be":[28],"used":[29],"areas":[31],"(such":[32],"as":[33,147],"automotive)":[34],"where":[35],"safety":[36],"is":[37,145],"also":[38],"an":[39],"important":[40],"parameter.":[41],"However,":[42],"architectural":[44],"complexity":[45],"advanced":[47],"technology":[48],"level":[49],"create":[50],"challenges":[51],"when":[52],"matching":[53],"required":[55],"reliability":[56],"targets.":[57],"This":[58],"requires":[59],"devising":[60],"solutions":[61],"perform":[63],"in-field":[64,96,108],"test,":[65],"thus":[66],"allowing":[67],"systematic":[69],"detection":[70],"of":[71,104,140],"possible":[72],"permanent":[73],"faults.":[74],"These":[75],"faults":[76,129],"are":[77,110,154],"caused":[78],"by":[79],"aging":[80],"or":[81],"external":[82],"factors":[83],"that":[84],"affect":[85],"execution":[88],"potentially":[90],"generate":[91,121],"critical":[92],"misbehaviors.":[93],"Moreover,":[94],"effective":[95],"test":[97],"techniques":[98],"oriented":[99],"verify":[101],"integrity":[103],"GPGPU":[105],"modules":[106],"during":[107],"operation":[109],"still":[111],"missed.":[112],"In":[113],"this":[114],"work,":[115],"we":[116],"propose":[117],"a":[118,141,162,167],"method":[119],"self-test":[122],"procedures":[123],"able":[124],"detect":[126],"all":[127],"static":[128],"affecting":[130],"scheduler":[132],"memory":[133,168],"existing":[134],"each":[136],"streaming":[137],"multiprocessor":[138],"(SM)":[139],"GPGPU.":[142],"NVIDIA":[143,158],"CUDA-C":[144],"selected":[146],"high-level":[148],"programing":[149],"language.":[150],"The":[151],"experimental":[152],"results":[153],"obtained":[155],"employing":[156],"Nsight":[159],"Debugger":[160],"on":[161],"NVIDIA-GEFORCE":[163],"GTX":[164],"GPU":[165],"fault":[169],"simulator.":[170]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}