{"id":"https://openalex.org/W4399108467","doi":"https://doi.org/10.1109/lats62223.2024.10534624","title":"Analyzing the Reliability of Stream Sparse Matrix-Vector Multiplication Accelerators: A High-Level Approach","display_name":"Analyzing the Reliability of Stream Sparse Matrix-Vector Multiplication Accelerators: A High-Level Approach","publication_year":2024,"publication_date":"2024-04-09","ids":{"openalex":"https://openalex.org/W4399108467","doi":"https://doi.org/10.1109/lats62223.2024.10534624"},"language":"en","primary_location":{"id":"doi:10.1109/lats62223.2024.10534624","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/lats62223.2024.10534624","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 25th Latin American Test Symposium (LATS)","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/A5063963135","display_name":"Mar\u00eda Luisa Pinto Salamanca","orcid":"https://orcid.org/0000-0002-2089-0683"},"institutions":[{"id":"https://openalex.org/I222202552","display_name":"Pedagogical and Technological University of Colombia","ror":"https://ror.org/04vdmbk59","country_code":"CO","type":"education","lineage":["https://openalex.org/I222202552"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"Mar\u00eda L. Pinto-Salamanca","raw_affiliation_strings":["Universidad Pedag&#x00F3;gica y Tecnol&#x00F3;gica de Colombia (UPTC),GIRA Research Group"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Pedag&#x00F3;gica y Tecnol&#x00F3;gica de Colombia (UPTC),GIRA Research Group","institution_ids":["https://openalex.org/I222202552"]}]},{"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":"Politecnico di Torino","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":["Politecnico di Torino,Department of Control and Computer Engineering (DAUIN)","Department of Control and Computer Engineering (DAUIN), Politecnico di Torino"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Politecnico di Torino,Department of Control and Computer Engineering (DAUIN)","institution_ids":["https://openalex.org/I177477856"]},{"raw_affiliation_string":"Department of Control and Computer Engineering (DAUIN), Politecnico di Torino","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065355726","display_name":"Jos\u00e9 A. Hidalgo-L\u00f3pez","orcid":"https://orcid.org/0000-0001-9505-9141"},"institutions":[{"id":"https://openalex.org/I1340755506","display_name":"3M (United States)","ror":"https://ror.org/00mgss748","country_code":"US","type":"company","lineage":["https://openalex.org/I1340755506"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jos\u00e9 A. Hidalgo-L\u00f3pez","raw_affiliation_strings":["Universidad de M&#x00E1;laga,Departamento de Electr&#x00F3;nica"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad de M&#x00E1;laga,Departamento de Electr&#x00F3;nica","institution_ids":["https://openalex.org/I1340755506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057553318","display_name":"Wilson Javier P\u00e9rez-Holgu\u00edn","orcid":"https://orcid.org/0000-0001-5238-4470"},"institutions":[{"id":"https://openalex.org/I222202552","display_name":"Pedagogical and Technological University of Colombia","ror":"https://ror.org/04vdmbk59","country_code":"CO","type":"education","lineage":["https://openalex.org/I222202552"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"Wilson J. P\u00e9rez-Holgu\u00edn","raw_affiliation_strings":["Universidad Pedag&#x00F3;gica y Tecnol&#x00F3;gica de Colombia (UPTC),GIRA Research Group"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Pedag&#x00F3;gica y Tecnol&#x00F3;gica de Colombia (UPTC),GIRA Research Group","institution_ids":["https://openalex.org/I222202552"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1856,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.46602763,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9994000196456909,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9994000196456909,"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/T10558","display_name":"Advancements in Semiconductor Devices and Circuit Design","score":0.9983000159263611,"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9972000122070312,"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":0.7496240139007568},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.6286739110946655},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5855652689933777},{"id":"https://openalex.org/keywords/multiplication","display_name":"Multiplication (music)","score":0.5345434546470642},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4836203157901764},{"id":"https://openalex.org/keywords/matrix-multiplication","display_name":"Matrix multiplication","score":0.4646759629249573},{"id":"https://openalex.org/keywords/multi-core-processor","display_name":"Multi-core processor","score":0.45934516191482544},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.45728275179862976},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.4227513074874878},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3779020309448242},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35821691155433655},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.27746760845184326},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09922641515731812}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7496240139007568},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.6286739110946655},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5855652689933777},{"id":"https://openalex.org/C2780595030","wikidata":"https://www.wikidata.org/wiki/Q3860309","display_name":"Multiplication (music)","level":2,"score":0.5345434546470642},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4836203157901764},{"id":"https://openalex.org/C17349429","wikidata":"https://www.wikidata.org/wiki/Q1049914","display_name":"Matrix multiplication","level":3,"score":0.4646759629249573},{"id":"https://openalex.org/C78766204","wikidata":"https://www.wikidata.org/wiki/Q555032","display_name":"Multi-core processor","level":2,"score":0.45934516191482544},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.45728275179862976},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4227513074874878},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3779020309448242},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35821691155433655},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.27746760845184326},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09922641515731812},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lats62223.2024.10534624","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/lats62223.2024.10534624","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 25th Latin American Test Symposium (LATS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.8399999737739563,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1806268654","https://openalex.org/W2119144962","https://openalex.org/W2288063925","https://openalex.org/W2921480401","https://openalex.org/W2941763154","https://openalex.org/W2977568232","https://openalex.org/W3009452684","https://openalex.org/W3184110732","https://openalex.org/W4380875731","https://openalex.org/W4386242156","https://openalex.org/W4387353049","https://openalex.org/W6677580257","https://openalex.org/W6767485864"],"related_works":["https://openalex.org/W3099313426","https://openalex.org/W4287593139","https://openalex.org/W752783541","https://openalex.org/W1506547947","https://openalex.org/W2995605830","https://openalex.org/W4206811032","https://openalex.org/W2086123442","https://openalex.org/W2596457687","https://openalex.org/W3212757063","https://openalex.org/W2093666864"],"abstract_inverted_index":{"<sup":[0],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[1],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>":[2],"Today,":[3],"advances":[4],"in":[5,51,92,162],"scientific":[6],"and":[7,10,28,39,55,67,96,153,198,201],"embedded":[8],"computing":[9],"the":[11,76,83,93,104,140,163,185,191,199,204],"incredible":[12],"proliferation":[13,77],"of":[14,20,78,98,106,173,187,195,203],"machine":[15],"learning":[16],"algorithms":[17,62],"take":[18],"advantage":[19],"specialized":[21],"hardware":[22,52,81],"accelerators":[23],"to":[24,64,123,168],"provide":[25],"exceptional":[26],"performance":[27,66],"good":[29],"accuracy.":[30],"In":[31],"some":[32],"safety-critical":[33,117],"applications":[34,120],"like":[35],"autonomous":[36],"robotics,":[37],"healthcare,":[38],"automotive,":[40],"crucial":[41],"mathematical":[42],"operations":[43],"such":[44],"as":[45,53],"convolutions":[46],"are":[47,131,166],"often":[48],"efficiently":[49],"mapped":[50],"Matrix-Vector(MxV)":[54],"Matrix-Matrix":[56],"(MxM)":[57],"multiplications.":[58],"Moreover,":[59],"sophisticated":[60],"sparsity":[61],"aim":[63],"improve":[65],"power":[68],"consumption.":[69],"Unfortunately,":[70],"technology":[71],"scaling":[72],"trends":[73],"may":[74],"increase":[75],"faults":[79,170],"on":[80,110,133],"during":[82],"in-field":[84],"operation,":[85],"so":[86],"there":[87],"is":[88],"a":[89,124],"rising":[90],"interest":[91],"reliability":[94],"assessment":[95],"analysis":[97],"sparsity-based":[99],"accelerators.":[100],"This":[101],"work":[102],"evaluates":[103],"impact":[105],"soft":[107],"errors":[108,180],"(bit-flips)":[109],"sparse-matrix":[111],"dense-vector":[112],"multiplication":[113],"(SpMV)":[114,164],"cores":[115],"for":[116],"tactile":[118],"sensing":[119],"by":[121],"resorting":[122],"High-Level":[125],"Synthesis":[126],"(HLS)":[127],"strategy.":[128],"The":[129],"experiments":[130],"performed":[132],"an":[134],"open-source":[135],"streaming":[136],"SpMV":[137],"core":[138,165],"using":[139],"Compressed":[141],"Sparse":[142],"Row":[143],"(CSR)":[144],"format":[145],"when":[146],"processing":[147],"characteristic":[148],"medium-size":[149],"sparse":[150,188],"matrices":[151],"(100x100":[152],"494x494).":[154],"Our":[155],"results":[156],"indicate":[157],"that":[158],"data-path":[159],"pipeline":[160],"registers":[161],"resilient":[167],"transient":[169],"(<":[171],"1.3%":[172],"observed":[174],"corruption":[175],"effects),":[176],"while":[177],"large":[178],"magnitude":[179],"can":[181],"be":[182],"associated":[183],"with":[184],"type":[186,200],"matrix":[189],"describing":[190],"system":[192],"(e.g.,":[193],"number":[194],"non-zero":[196],"values)":[197],"features":[202],"input":[205],"vector":[206],"sensor.":[207]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
