{"id":"https://openalex.org/W3105659890","doi":"https://doi.org/10.1109/codesisss51650.2020.9244038","title":"A Fast Design Space Exploration Framework for the Deep Learning Accelerators: Work-in-Progress","display_name":"A Fast Design Space Exploration Framework for the Deep Learning Accelerators: Work-in-Progress","publication_year":2020,"publication_date":"2020-09-20","ids":{"openalex":"https://openalex.org/W3105659890","doi":"https://doi.org/10.1109/codesisss51650.2020.9244038","mag":"3105659890"},"language":"en","primary_location":{"id":"doi:10.1109/codesisss51650.2020.9244038","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codesisss51650.2020.9244038","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5050516307","display_name":"Alessio Colucci","orcid":"https://orcid.org/0000-0003-1805-750X"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Alessio Colucci","raw_affiliation_strings":["Technische Universit\u00e4t Wien, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Wien, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042642081","display_name":"Alberto Marchisio","orcid":"https://orcid.org/0000-0002-0689-4776"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Alberto Marchisio","raw_affiliation_strings":["Technische Universit\u00e4t Wien, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Wien, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073201496","display_name":"Beatrice Bussolino","orcid":"https://orcid.org/0000-0003-2608-820X"},"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":"Beatrice Bussolino","raw_affiliation_strings":["Politecnico di Torino, Turin, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Politecnico di Torino, Turin, Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071584701","display_name":"Vojt\u011bch Mr\u00e1zek","orcid":"https://orcid.org/0000-0002-9399-9313"},"institutions":[{"id":"https://openalex.org/I60587646","display_name":"Brno University of Technology","ror":"https://ror.org/03613d656","country_code":"CZ","type":"education","lineage":["https://openalex.org/I60587646"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Voitech Mrazek","raw_affiliation_strings":["Faculty of Information Technology, IT4Innovations Centre of Excellence, Brno University of Technology, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, IT4Innovations Centre of Excellence, Brno University of Technology, Czech Republic","institution_ids":["https://openalex.org/I60587646"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026016005","display_name":"Maurizio Martina","orcid":"https://orcid.org/0000-0002-3069-0319"},"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":"Maurizio Martina","raw_affiliation_strings":["Politecnico di Torino, Turin, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Politecnico di Torino, Turin, Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074150684","display_name":"Guido Masera","orcid":"https://orcid.org/0000-0003-2238-9443"},"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":"Guido Masera","raw_affiliation_strings":["Politecnico di Torino, Turin, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Politecnico di Torino, Turin, Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005190949","display_name":"Muhammad Shafique","orcid":"https://orcid.org/0000-0002-2607-8135"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]},{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["AT","US"],"is_corresponding":false,"raw_author_name":"Muhammad Shafique","raw_affiliation_strings":["Division of Engineering, New York University, Abu Dhabi, UAE","Technische Universit\u00e4t Wien, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Engineering, New York University, Abu Dhabi, UAE","institution_ids":["https://openalex.org/I57206974"]},{"raw_affiliation_string":"Technische Universit\u00e4t Wien, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7157,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.64739974,"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":"34","last_page":"36"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","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/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9988999962806702,"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":0.6403986811637878},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6340316534042358},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43972668051719666},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4300559461116791},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40814244747161865}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6403986811637878},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6340316534042358},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43972668051719666},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4300559461116791},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40814244747161865}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/codesisss51650.2020.9244038","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codesisss51650.2020.9244038","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2162385899","https://openalex.org/W2163605009","https://openalex.org/W2529248411","https://openalex.org/W2604319603","https://openalex.org/W2606722458","https://openalex.org/W2748648681","https://openalex.org/W2899363804","https://openalex.org/W2901135043","https://openalex.org/W2911491685","https://openalex.org/W2919115771","https://openalex.org/W2938535438","https://openalex.org/W2953212265","https://openalex.org/W2963703618","https://openalex.org/W2963762721","https://openalex.org/W2965481041","https://openalex.org/W2974437627","https://openalex.org/W2997929983","https://openalex.org/W3005346446","https://openalex.org/W3016542674","https://openalex.org/W3038988173","https://openalex.org/W3120496366","https://openalex.org/W3147600416","https://openalex.org/W4289362026","https://openalex.org/W6684191040","https://openalex.org/W6728039718","https://openalex.org/W6743446608","https://openalex.org/W6758823024","https://openalex.org/W6760385162"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W2961085424","https://openalex.org/W3215138031","https://openalex.org/W4306674287","https://openalex.org/W3009238340","https://openalex.org/W2939353110","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3046775127"],"abstract_inverted_index":{"The":[0],"Capsule":[1],"Networks":[2],"(CapsNets)":[3],"is":[4],"an":[5],"advanced":[6],"form":[7],"of":[8,14,52,73,86],"Convolutional":[9],"Neural":[10],"Network":[11],"(CNN),":[12],"capable":[13],"learning":[15,90],"spatial":[16],"relations":[17],"and":[18,40,78,115,121,133,159,186,203],"being":[19],"invariant":[20],"to":[21,106,143,183,200],"transformations.":[22],"CapsNets":[23,74,122],"requires":[24],"complex":[25],"matrix":[26],"operations":[27],"which":[28,138],"current":[29],"accelerators":[30,176,192],"are":[31],"not":[32],"optimized":[33],"for,":[34],"concerning":[35],"bothtrainingandinferencepasses.":[36],"Current":[37],"state-of-the-art":[38],"simulators":[39],"design":[41,65,146],"space":[42],"exploration":[43,58],"(DSE)":[44],"tools":[45],"for":[46,112,127,174,193],"DNN":[47],"hardware":[48],"neglect":[49],"the":[50,63,70,83,145,149,195],"modeling":[51],"training":[53,94,116,175],"operations,":[54],"while":[55,155],"requiring":[56],"long":[57],"times":[59],"that":[60,92],"slow":[61],"down":[62],"complete":[64],"flow.":[66],"These":[67],"impediments":[68],"restrict":[69],"real-world":[71],"applications":[72],"(e.g.,":[75],"autonomous":[76],"driving":[77],"robotics)":[79],"as":[80,82,152],"well":[81],"further":[84],"development":[85],"DNNs":[87],"in":[88],"life-long":[89],"scenarios":[91],"require":[93],"on":[95,130,172],"low-power":[96],"embedded":[97],"devices.":[98],"Towards":[99],"this,":[100],"we":[101],"presentXploreDL,":[102],"a":[103,124,141,161,168],"novel":[104],"framework":[105],"perform":[107],"fast":[108],"yet":[109],"high-fidelity":[110],"DSE":[111,126],"both":[113,119],"inference":[114,191],"accelerators,":[117,128],"supporting":[118],"CNNs":[120],"operations.XploreDLenables":[123],"resource-efficient":[125],"focusing":[129],"power,":[131],"area,":[132],"latency,":[134],"highlighting":[135],"Pareto-optimal":[136,179,196],"solutions":[137,197],"can":[139],"be":[140],"green-lit":[142],"expedite":[144],"flow.XploreDLcan":[147],"reach":[148,198],"same":[150],"fidelity":[151],"ARM's":[153],"SCALE-sim,":[154],"providing":[156],"600x":[157],"speedup":[158],"having":[160],"50x":[162],"lower":[163],"memory-footprint.":[164],"Preliminary":[165],"results":[166],"with":[167,181],"deep":[169],"CapsNet":[170],"model":[171],"MNIST":[173],"show":[177],"promising":[178],"architectures":[180],"up":[182,199],"0.4":[184],"TOPS/squared-mm":[185,202],"800":[187],"fJ/op":[188,205],"efficiency.":[189,206],"With":[190],"AlexNet":[194],"1.8":[201],"200":[204]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
