{"id":"https://openalex.org/W4416429567","doi":"https://doi.org/10.1109/iccad66269.2025.11240844","title":"Row-Column Hybrid Grouping for Fault-Resilient Multi-Bit Weight Representation on IMC Arrays","display_name":"Row-Column Hybrid Grouping for Fault-Resilient Multi-Bit Weight Representation on IMC Arrays","publication_year":2025,"publication_date":"2025-10-26","ids":{"openalex":"https://openalex.org/W4416429567","doi":"https://doi.org/10.1109/iccad66269.2025.11240844"},"language":null,"primary_location":{"id":"doi:10.1109/iccad66269.2025.11240844","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccad66269.2025.11240844","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/ACM International Conference On Computer Aided Design (ICCAD)","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/A5074321125","display_name":"Kang Eun Jeon","orcid":"https://orcid.org/0000-0001-5546-1881"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Kang Eun Jeon","raw_affiliation_strings":["Sungkyunkwan University,Department of Electrical and Computer Engineering,Suwon,Korea"],"affiliations":[{"raw_affiliation_string":"Sungkyunkwan University,Department of Electrical and Computer Engineering,Suwon,Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120318711","display_name":"Sangheum Yeon","orcid":null},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sangheum Yeon","raw_affiliation_strings":["Sungkyunkwan University,Department of Semiconductor Engineering,Suwon,Korea"],"affiliations":[{"raw_affiliation_string":"Sungkyunkwan University,Department of Semiconductor Engineering,Suwon,Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055066351","display_name":"Jinhee Kim","orcid":"https://orcid.org/0000-0002-4495-0273"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jinhee Kim","raw_affiliation_strings":["Sungkyunkwan University,Department of Electrical and Computer Engineering,Suwon,Korea"],"affiliations":[{"raw_affiliation_string":"Sungkyunkwan University,Department of Electrical and Computer Engineering,Suwon,Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006968060","display_name":"Hyeonsu Bang","orcid":"https://orcid.org/0000-0002-3153-3825"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyeonsu Bang","raw_affiliation_strings":["Sungkyunkwan University,Department of Electrical and Computer Engineering,Suwon,Korea"],"affiliations":[{"raw_affiliation_string":"Sungkyunkwan University,Department of Electrical and Computer Engineering,Suwon,Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081039356","display_name":"Johnny Rhe","orcid":"https://orcid.org/0000-0003-2603-974X"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Johnny Rhe","raw_affiliation_strings":["Sungkyunkwan University,Department of Electrical and Computer Engineering,Suwon,Korea"],"affiliations":[{"raw_affiliation_string":"Sungkyunkwan University,Department of Electrical and Computer Engineering,Suwon,Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063908850","display_name":"Jong Hwan Ko","orcid":"https://orcid.org/0000-0003-4434-4318"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jong Hwan Ko","raw_affiliation_strings":["Sungkyunkwan University,Department of Electrical and Computer Engineering,Suwon,Korea"],"affiliations":[{"raw_affiliation_string":"Sungkyunkwan University,Department of Electrical and Computer Engineering,Suwon,Korea","institution_ids":["https://openalex.org/I848706"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5074321125"],"corresponding_institution_ids":["https://openalex.org/I848706"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.38169043,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10904","display_name":"Embedded Systems Design Techniques","score":0.3831000030040741,"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/T10904","display_name":"Embedded Systems Design Techniques","score":0.3831000030040741,"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/T10829","display_name":"Interconnection Networks and Systems","score":0.17730000615119934,"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/T10363","display_name":"Low-power high-performance VLSI design","score":0.10750000178813934,"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/redundancy","display_name":"Redundancy (engineering)","score":0.6798999905586243},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6611999869346619},{"id":"https://openalex.org/keywords/fault-tolerance","display_name":"Fault tolerance","score":0.49709999561309814},{"id":"https://openalex.org/keywords/integer-programming","display_name":"Integer programming","score":0.48919999599456787},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.44429999589920044},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.40230000019073486},{"id":"https://openalex.org/keywords/compiler","display_name":"Compiler","score":0.397599995136261},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.39160001277923584}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7599999904632568},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6798999905586243},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6611999869346619},{"id":"https://openalex.org/C63540848","wikidata":"https://www.wikidata.org/wiki/Q3140932","display_name":"Fault tolerance","level":2,"score":0.49709999561309814},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.48919999599456787},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.44429999589920044},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.40230000019073486},{"id":"https://openalex.org/C169590947","wikidata":"https://www.wikidata.org/wiki/Q47506","display_name":"Compiler","level":2,"score":0.397599995136261},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.39160001277923584},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.388700008392334},{"id":"https://openalex.org/C135598885","wikidata":"https://www.wikidata.org/wiki/Q1366302","display_name":"Row","level":2,"score":0.384799987077713},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38119998574256897},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3549000024795532},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.34119999408721924},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.3395000100135803},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32739999890327454},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.3181999921798706},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.3165000081062317},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3138999938964844},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.3093999922275543},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.30660000443458557},{"id":"https://openalex.org/C97137487","wikidata":"https://www.wikidata.org/wiki/Q729138","display_name":"Integer (computer science)","level":2,"score":0.27970001101493835},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.26980000734329224},{"id":"https://openalex.org/C14580979","wikidata":"https://www.wikidata.org/wiki/Q876049","display_name":"Very-large-scale integration","level":2,"score":0.2572000026702881},{"id":"https://openalex.org/C192328126","wikidata":"https://www.wikidata.org/wiki/Q4514647","display_name":"Schematic","level":2,"score":0.2506999969482422}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccad66269.2025.11240844","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccad66269.2025.11240844","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/ACM International Conference On Computer Aided Design (ICCAD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320332195","display_name":"Samsung","ror":"https://ror.org/04w3jy968"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1971319818","https://openalex.org/W2056507634","https://openalex.org/W2289252105","https://openalex.org/W2612375349","https://openalex.org/W2613989746","https://openalex.org/W2626719825","https://openalex.org/W2898994846","https://openalex.org/W2921329602","https://openalex.org/W2946047477","https://openalex.org/W2946522000","https://openalex.org/W2997869757","https://openalex.org/W3091885635","https://openalex.org/W3091922395","https://openalex.org/W3111989171","https://openalex.org/W3112740243","https://openalex.org/W3163974534","https://openalex.org/W4243519499","https://openalex.org/W4254672563","https://openalex.org/W4294969169","https://openalex.org/W4312457094","https://openalex.org/W4366389026","https://openalex.org/W4379113625","https://openalex.org/W4390097776","https://openalex.org/W4400811414","https://openalex.org/W4404133646","https://openalex.org/W4410583271","https://openalex.org/W4410583986"],"related_works":[],"abstract_inverted_index":{"This":[0,68],"paper":[1],"addresses":[2],"two":[3],"critical":[4],"challenges":[5],"in":[6,149],"analog":[7],"In-Memory":[8],"Computing":[9],"(IMC)":[10],"systems":[11],"that":[12,89,118],"limit":[13],"their":[14],"scalability":[15],"and":[16,26,66,74,105,134,155],"deployability:":[17],"the":[18,27,91,139],"computational":[19],"unreliability":[20],"caused":[21],"by":[22,60],"stuck-at":[23],"faults":[24],"(SAFs)":[25],"high":[28],"compilation":[29,107],"overhead":[30],"of":[31,141],"existing":[32,80,163],"fault-mitigation":[33,81],"algorithms,":[34],"namely":[35],"Fault-Free":[36],"(FF).":[37],"To":[38],"overcome":[39],"these":[40],"limitations,":[41],"we":[42,84],"first":[43],"propose":[44],"a":[45,86],"novel":[46],"multi-bit":[47],"weight":[48,93],"representation":[49],"technique,":[50],"termed":[51],"row-column":[52],"hybrid":[53],"grouping,":[54],"which":[55],"generalizes":[56],"conventional":[57],"column":[58],"grouping":[59],"introducing":[61],"redundancy":[62,70],"across":[63],"both":[64],"rows":[65],"columns.":[67],"structural":[69],"enhances":[71],"fault":[72,120],"tolerance":[73],"can":[75],"be":[76],"effectively":[77],"combined":[78],"with":[79],"solutions.":[82],"Second,":[83],"design":[85],"compiler":[87],"pipeline":[88],"reformulates":[90],"fault-aware":[92],"decomposition":[94],"problem":[95],"as":[96],"an":[97],"Integer":[98],"Linear":[99],"Programming":[100],"(ILP)":[101],"task,":[102],"enabling":[103],"fast":[104],"scalable":[106],"through":[108,115],"off-the-shelf":[109],"solvers.":[110],"Further":[111],"acceleration":[112],"is":[113],"achieved":[114],"theoretical":[116],"insights":[117],"identify":[119],"patterns":[121],"amenable":[122],"to":[123,146,162],"trivial":[124],"solutions,":[125],"significantly":[126],"reducing":[127],"computation.":[128],"Experimental":[129],"results":[130],"on":[131],"convolutional":[132],"networks":[133],"small":[135],"language":[136],"models":[137],"demonstrate":[138],"effectiveness":[140],"our":[142],"approach,":[143],"achieving":[144],"up":[145],"8%p":[147],"improvement":[148],"accuracy,":[150],"150":[151],"\u00d7":[152,157],"faster":[153],"compilation,":[154],"2":[156],"energy":[158],"efficiency":[159],"gain":[160],"compared":[161],"baselines.":[164]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-11-20T00:00:00"}
