{"id":"https://openalex.org/W4377969809","doi":"https://doi.org/10.1109/isqed57927.2023.10129341","title":"Lightweight Instruction Set for Flexible Dilated Convolutions and Mixed-Precision Operands","display_name":"Lightweight Instruction Set for Flexible Dilated Convolutions and Mixed-Precision Operands","publication_year":2023,"publication_date":"2023-04-05","ids":{"openalex":"https://openalex.org/W4377969809","doi":"https://doi.org/10.1109/isqed57927.2023.10129341"},"language":"en","primary_location":{"id":"doi:10.1109/isqed57927.2023.10129341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isqed57927.2023.10129341","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 24th International Symposium on Quality Electronic Design (ISQED)","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/A5114137455","display_name":"Simon Friedrich","orcid":null},"institutions":[{"id":"https://openalex.org/I245417339","display_name":"Vodafone (Germany)","ror":"https://ror.org/044qwkx83","country_code":"DE","type":"company","lineage":["https://openalex.org/I245417339","https://openalex.org/I74316835"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Simon Friedrich","raw_affiliation_strings":["Technical University of Dresden,Vodafone Chair for Mobile Communications,Dresden,Germany","Vodafone Chair for Mobile Communications, Technical University of Dresden, Dresden, Germany"],"affiliations":[{"raw_affiliation_string":"Technical University of Dresden,Vodafone Chair for Mobile Communications,Dresden,Germany","institution_ids":["https://openalex.org/I245417339"]},{"raw_affiliation_string":"Vodafone Chair for Mobile Communications, Technical University of Dresden, Dresden, Germany","institution_ids":["https://openalex.org/I245417339"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055302731","display_name":"Shambhavi Balamuthu Sampath","orcid":null},"institutions":[{"id":"https://openalex.org/I1283382300","display_name":"BMW (Germany)","ror":"https://ror.org/05vs9tj88","country_code":"DE","type":"company","lineage":["https://openalex.org/I1283382300","https://openalex.org/I4210156768"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Shambhavi Balamuthu Sampath","raw_affiliation_strings":["BMW AG,Munich,Germany","BMW AG, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"BMW AG,Munich,Germany","institution_ids":["https://openalex.org/I1283382300"]},{"raw_affiliation_string":"BMW AG, Munich, Germany","institution_ids":["https://openalex.org/I1283382300"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055093457","display_name":"Robert Wittig","orcid":"https://orcid.org/0000-0002-6710-6948"},"institutions":[{"id":"https://openalex.org/I245417339","display_name":"Vodafone (Germany)","ror":"https://ror.org/044qwkx83","country_code":"DE","type":"company","lineage":["https://openalex.org/I245417339","https://openalex.org/I74316835"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Robert Wittig","raw_affiliation_strings":["Technical University of Dresden,Vodafone Chair for Mobile Communications,Dresden,Germany","Vodafone Chair for Mobile Communications, Technical University of Dresden, Dresden, Germany"],"affiliations":[{"raw_affiliation_string":"Technical University of Dresden,Vodafone Chair for Mobile Communications,Dresden,Germany","institution_ids":["https://openalex.org/I245417339"]},{"raw_affiliation_string":"Vodafone Chair for Mobile Communications, Technical University of Dresden, Dresden, Germany","institution_ids":["https://openalex.org/I245417339"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110816436","display_name":"Manoj Rohit Vemparala","orcid":null},"institutions":[{"id":"https://openalex.org/I1283382300","display_name":"BMW (Germany)","ror":"https://ror.org/05vs9tj88","country_code":"DE","type":"company","lineage":["https://openalex.org/I1283382300","https://openalex.org/I4210156768"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Manoj Rohit Vemparala","raw_affiliation_strings":["BMW AG,Munich,Germany","BMW AG, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"BMW AG,Munich,Germany","institution_ids":["https://openalex.org/I1283382300"]},{"raw_affiliation_string":"BMW AG, Munich, Germany","institution_ids":["https://openalex.org/I1283382300"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085220085","display_name":"Nael Fasfous","orcid":"https://orcid.org/0000-0002-8081-7904"},"institutions":[{"id":"https://openalex.org/I1283382300","display_name":"BMW (Germany)","ror":"https://ror.org/05vs9tj88","country_code":"DE","type":"company","lineage":["https://openalex.org/I1283382300","https://openalex.org/I4210156768"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Nael Fasfous","raw_affiliation_strings":["BMW AG,Munich,Germany","BMW AG, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"BMW AG,Munich,Germany","institution_ids":["https://openalex.org/I1283382300"]},{"raw_affiliation_string":"BMW AG, Munich, Germany","institution_ids":["https://openalex.org/I1283382300"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060536506","display_name":"Emil Mat\u00fa\u0161","orcid":"https://orcid.org/0000-0002-2150-7201"},"institutions":[{"id":"https://openalex.org/I245417339","display_name":"Vodafone (Germany)","ror":"https://ror.org/044qwkx83","country_code":"DE","type":"company","lineage":["https://openalex.org/I245417339","https://openalex.org/I74316835"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Emil Mat\u00fa\u0161","raw_affiliation_strings":["Technical University of Dresden,Vodafone Chair for Mobile Communications,Dresden,Germany","Vodafone Chair for Mobile Communications, Technical University of Dresden, Dresden, Germany"],"affiliations":[{"raw_affiliation_string":"Technical University of Dresden,Vodafone Chair for Mobile Communications,Dresden,Germany","institution_ids":["https://openalex.org/I245417339"]},{"raw_affiliation_string":"Vodafone Chair for Mobile Communications, Technical University of Dresden, Dresden, Germany","institution_ids":["https://openalex.org/I245417339"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005732789","display_name":"Walter Stechele","orcid":"https://orcid.org/0000-0002-7455-8483"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Walter Stechele","raw_affiliation_strings":["Technical University Munich,Chair of Integrated Systems,Munich,Germany","Chair of Integrated Systems, Technical University Munich, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Technical University Munich,Chair of Integrated Systems,Munich,Germany","institution_ids":[]},{"raw_affiliation_string":"Chair of Integrated Systems, Technical University Munich, Munich, Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022117288","display_name":"Gerhard Fettweis","orcid":"https://orcid.org/0000-0003-4622-1311"},"institutions":[{"id":"https://openalex.org/I245417339","display_name":"Vodafone (Germany)","ror":"https://ror.org/044qwkx83","country_code":"DE","type":"company","lineage":["https://openalex.org/I245417339","https://openalex.org/I74316835"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gerhard Fettweis","raw_affiliation_strings":["Technical University of Dresden,Vodafone Chair for Mobile Communications,Dresden,Germany","Vodafone Chair for Mobile Communications, Technical University of Dresden, Dresden, Germany"],"affiliations":[{"raw_affiliation_string":"Technical University of Dresden,Vodafone Chair for Mobile Communications,Dresden,Germany","institution_ids":["https://openalex.org/I245417339"]},{"raw_affiliation_string":"Vodafone Chair for Mobile Communications, Technical University of Dresden, Dresden, Germany","institution_ids":["https://openalex.org/I245417339"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5114137455"],"corresponding_institution_ids":["https://openalex.org/I245417339"],"apc_list":null,"apc_paid":null,"fwci":0.8597,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.74820735,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10036","display_name":"Advanced Neural Network Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.8441542387008667},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7030091285705566},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.688491702079773},{"id":"https://openalex.org/keywords/operand","display_name":"Operand","score":0.6418646574020386},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.6242208480834961},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5770622491836548},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5747052431106567},{"id":"https://openalex.org/keywords/dilation","display_name":"Dilation (metric space)","score":0.5319889783859253},{"id":"https://openalex.org/keywords/memory-footprint","display_name":"Memory footprint","score":0.529735267162323},{"id":"https://openalex.org/keywords/instruction-set","display_name":"Instruction set","score":0.4968164265155792},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.44184610247612},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4186667501926422},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.4164540767669678},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.39472147822380066},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.389444500207901},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.3690585494041443},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2628529369831085}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8441542387008667},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7030091285705566},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.688491702079773},{"id":"https://openalex.org/C55526617","wikidata":"https://www.wikidata.org/wiki/Q719375","display_name":"Operand","level":2,"score":0.6418646574020386},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.6242208480834961},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5770622491836548},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5747052431106567},{"id":"https://openalex.org/C2780757906","wikidata":"https://www.wikidata.org/wiki/Q5276676","display_name":"Dilation (metric space)","level":2,"score":0.5319889783859253},{"id":"https://openalex.org/C74912251","wikidata":"https://www.wikidata.org/wiki/Q6815727","display_name":"Memory footprint","level":2,"score":0.529735267162323},{"id":"https://openalex.org/C202491316","wikidata":"https://www.wikidata.org/wiki/Q272683","display_name":"Instruction set","level":2,"score":0.4968164265155792},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.44184610247612},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4186667501926422},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.4164540767669678},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.39472147822380066},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.389444500207901},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3690585494041443},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2628529369831085},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isqed57927.2023.10129341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isqed57927.2023.10129341","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 24th International Symposium on Quality Electronic Design (ISQED)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2048266589","https://openalex.org/W2330958039","https://openalex.org/W2592939477","https://openalex.org/W2630837129","https://openalex.org/W2899481200","https://openalex.org/W2950656546","https://openalex.org/W2952857977","https://openalex.org/W2963418739","https://openalex.org/W2964309882","https://openalex.org/W2968296999","https://openalex.org/W2974086533","https://openalex.org/W3025341614","https://openalex.org/W3038638485","https://openalex.org/W3089500695","https://openalex.org/W3096387236","https://openalex.org/W3204960814","https://openalex.org/W3214471284","https://openalex.org/W4205884968","https://openalex.org/W4206262671","https://openalex.org/W4249932213","https://openalex.org/W4293406525","https://openalex.org/W4375950407","https://openalex.org/W6717372056","https://openalex.org/W6739696289","https://openalex.org/W6792702323","https://openalex.org/W6803924416"],"related_works":["https://openalex.org/W4221139464","https://openalex.org/W2045177269","https://openalex.org/W4289827464","https://openalex.org/W4389476319","https://openalex.org/W2116582200","https://openalex.org/W4241438378","https://openalex.org/W2111003880","https://openalex.org/W1580752477","https://openalex.org/W2113248385","https://openalex.org/W4243878930"],"abstract_inverted_index":{"Modern":[0],"deep":[1],"neural":[2,53],"networks":[3],"specialized":[4],"for":[5,99,111,184],"object":[6],"detection":[7],"and":[8,31,114,140,188],"semantic":[9],"segmentation":[10],"require":[11],"specific":[12],"operations":[13],"to":[14,67,85,147,192],"increase":[15],"or":[16,49,93],"preserve":[17],"the":[18,43,46,68,87,95,148,163,178,185,193,197],"resolution":[19],"of":[20,40,45,103,157,170,173,200,202],"their":[21],"feature":[22],"maps.":[23],"Hence,":[24],"more":[25],"generic":[26],"convolution":[27,150],"layers":[28],"called":[29],"transposed":[30,113],"dilated":[32,115],"convolutions":[33,59,116],"are":[34],"employed,":[35],"adding":[36],"a":[37,61,100,108,134,155],"large":[38],"number":[39],"zeros":[41],"between":[42],"elements":[44,89],"input":[47],"features":[48],"weights.":[50],"Usually,":[51],"standard":[52],"network":[54],"hardware":[55,92,122],"accelerators":[56],"process":[57],"these":[58],"in":[60,72,154,160,180],"straightforward":[62],"manner,":[63],"without":[64],"paying":[65],"attention":[66],"added":[69],"zeros,":[70],"resulting":[71],"an":[73],"increased":[74],"computation":[75,181],"time.":[76],"To":[77,129],"cope":[78],"with":[79,90],"this":[80],"problem,":[81],"recent":[82],"works":[83],"propose":[84],"skip":[86],"redundant":[88],"additional":[91],"solve":[94],"problem":[96],"efficiently":[97],"only":[98],"limited":[101],"range":[102],"dilation":[104,127],"rates.":[105,128],"We":[106],"present":[107],"general":[109],"approach":[110],"accelerating":[112],"that":[117,143],"does":[118],"not":[119],"introduce":[120,133],"any":[121],"overhead":[123],"while":[124],"supporting":[125],"all":[126,174],"achieve":[130],"this,":[131],"we":[132],"novel":[135],"precision-scalable":[136,171],"lightweight":[137],"instruction":[138,198],"set":[139],"memory":[141],"scheme":[142],"can":[144],"be":[145],"applied":[146],"different":[149],"variants.":[151],"This":[152],"results":[153],"speed-up":[156],"5":[158],"times":[159],"DeepLabV3+":[161],"outperforming":[162],"recently":[164],"proposed":[165],"design":[166],"methods.":[167],"The":[168],"support":[169],"execution":[172],"workloads":[175],"further":[176],"increases":[177],"speedup":[179],"time":[182],"shown":[183],"PointPillars,":[186],"DeepLabV3+,":[187],"ENet":[189],"networks.":[190],"Compared":[191],"state-of-the-art":[194],"commercial":[195],"EdgeTPU,":[196],"footprint":[199],"ResNet-50":[201],"our":[203],"designed":[204],"accelerator":[205],"is":[206],"reduced":[207],"by":[208],"60":[209],"percent.":[210]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
