{"id":"https://openalex.org/W3200439232","doi":"https://doi.org/10.1109/mwscas47672.2021.9531708","title":"Surrogate Model based Co-Optimization of Deep Neural Network Hardware Accelerators","display_name":"Surrogate Model based Co-Optimization of Deep Neural Network Hardware Accelerators","publication_year":2021,"publication_date":"2021-08-09","ids":{"openalex":"https://openalex.org/W3200439232","doi":"https://doi.org/10.1109/mwscas47672.2021.9531708","mag":"3200439232"},"language":"en","primary_location":{"id":"doi:10.1109/mwscas47672.2021.9531708","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mwscas47672.2021.9531708","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS)","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/A5111804298","display_name":"Hendrik W\u00f6hrle","orcid":null},"institutions":[{"id":"https://openalex.org/I159743108","display_name":"Dortmund University of Applied Sciences and Arts","ror":"https://ror.org/03dv91853","country_code":"DE","type":"education","lineage":["https://openalex.org/I159743108"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hendrik Wohrle","raw_affiliation_strings":["Dortmund University of Applied Sciences and Arts, Dortmund, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dortmund University of Applied Sciences and Arts, Dortmund, Germany","institution_ids":["https://openalex.org/I159743108"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042862102","display_name":"Mariela De Lucas \u00c1lvarez","orcid":"https://orcid.org/0000-0003-0846-4507"},"institutions":[{"id":"https://openalex.org/I180437899","display_name":"University of Bremen","ror":"https://ror.org/04ers2y35","country_code":"DE","type":"education","lineage":["https://openalex.org/I180437899"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mariela De Lucas Alvarez","raw_affiliation_strings":["University of Bremen, Bremen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bremen, Bremen, Germany","institution_ids":["https://openalex.org/I180437899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085931043","display_name":"Fabian Schlenke","orcid":null},"institutions":[{"id":"https://openalex.org/I159743108","display_name":"Dortmund University of Applied Sciences and Arts","ror":"https://ror.org/03dv91853","country_code":"DE","type":"education","lineage":["https://openalex.org/I159743108"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Fabian Schlenke","raw_affiliation_strings":["Dortmund University of Applied Sciences and Arts, Dortmund, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dortmund University of Applied Sciences and Arts, Dortmund, Germany","institution_ids":["https://openalex.org/I159743108"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078114300","display_name":"Alexander Walsemann","orcid":"https://orcid.org/0009-0004-5829-2947"},"institutions":[{"id":"https://openalex.org/I159743108","display_name":"Dortmund University of Applied Sciences and Arts","ror":"https://ror.org/03dv91853","country_code":"DE","type":"education","lineage":["https://openalex.org/I159743108"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alexander Walsemann","raw_affiliation_strings":["Dortmund University of Applied Sciences and Arts, Dortmund, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dortmund University of Applied Sciences and Arts, Dortmund, Germany","institution_ids":["https://openalex.org/I159743108"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018549270","display_name":"M. Karagounis","orcid":"https://orcid.org/0000-0003-1886-6411"},"institutions":[{"id":"https://openalex.org/I159743108","display_name":"Dortmund University of Applied Sciences and Arts","ror":"https://ror.org/03dv91853","country_code":"DE","type":"education","lineage":["https://openalex.org/I159743108"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael Karagounis","raw_affiliation_strings":["Dortmund University of Applied Sciences and Arts, Dortmund, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dortmund University of Applied Sciences and Arts, Dortmund, Germany","institution_ids":["https://openalex.org/I159743108"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016436943","display_name":"Frank Kirchner","orcid":"https://orcid.org/0000-0002-1713-9784"},"institutions":[{"id":"https://openalex.org/I180437899","display_name":"University of Bremen","ror":"https://ror.org/04ers2y35","country_code":"DE","type":"education","lineage":["https://openalex.org/I180437899"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Frank Kirchner","raw_affiliation_strings":["University of Bremen, Bremen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bremen, Bremen, Germany","institution_ids":["https://openalex.org/I180437899"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1353,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.4433501,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"40","last_page":"45"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10876","display_name":"Fault Detection and Control Systems","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10320","display_name":"Neural Networks and Applications","score":0.9889000058174133,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9879000186920166,"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":0.77272629737854},{"id":"https://openalex.org/keywords/application-specific-integrated-circuit","display_name":"Application-specific integrated circuit","score":0.746222972869873},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6315900683403015},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.588908314704895},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5720790028572083},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.5575836896896362},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.4533901810646057},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.4353805184364319},{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.4334591329097748},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4223180413246155},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.37585076689720154},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3746032416820526},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.3253277540206909},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14987611770629883},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.09080535173416138}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.77272629737854},{"id":"https://openalex.org/C77390884","wikidata":"https://www.wikidata.org/wiki/Q217302","display_name":"Application-specific integrated circuit","level":2,"score":0.746222972869873},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6315900683403015},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.588908314704895},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5720790028572083},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.5575836896896362},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.4533901810646057},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.4353805184364319},{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.4334591329097748},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4223180413246155},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.37585076689720154},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3746032416820526},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3253277540206909},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14987611770629883},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.09080535173416138}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mwscas47672.2021.9531708","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mwscas47672.2021.9531708","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8999999761581421,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321408","display_name":"Ministry of Education","ror":"https://ror.org/01p262204"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1746819321","https://openalex.org/W1836465849","https://openalex.org/W2056134639","https://openalex.org/W2097998348","https://openalex.org/W2106411961","https://openalex.org/W2108968575","https://openalex.org/W2131241448","https://openalex.org/W2192203593","https://openalex.org/W2337344472","https://openalex.org/W2434562129","https://openalex.org/W2551393996","https://openalex.org/W2604319603","https://openalex.org/W2732754794","https://openalex.org/W2908009308","https://openalex.org/W2911937570","https://openalex.org/W2949117887","https://openalex.org/W3038988173","https://openalex.org/W3040394052","https://openalex.org/W4211049957","https://openalex.org/W6638667902","https://openalex.org/W6674385629","https://openalex.org/W6676179485","https://openalex.org/W6678911119","https://openalex.org/W6703414193","https://openalex.org/W6758542998"],"related_works":["https://openalex.org/W2986579802","https://openalex.org/W3108691306","https://openalex.org/W4389237622","https://openalex.org/W2166309310","https://openalex.org/W4385753159","https://openalex.org/W3183118997","https://openalex.org/W3214410901","https://openalex.org/W3204400881","https://openalex.org/W3204296682","https://openalex.org/W2917767146"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"present":[4],"an":[5,35],"ASIC":[6,24,52],"based":[7],"on":[8],"22FDX/FDSOI":[9],"technology":[10],"for":[11,30,55,109],"the":[12,47,63,73,79,85,90,93,100,115,124,160],"detection":[13],"of":[14,26,62,72,81,87,92,102,114,123,169],"atrial":[15],"fibrillation":[16],"in":[17,97],"human":[18],"electrocardiograms":[19],"using":[20,142,150],"neural":[21,94,116,162],"networks.":[22],"The":[23,51],"consists":[25],"a":[27,120,135,143,151,166],"RISC-V":[28],"core":[29,40],"supporting":[31],"software":[32],"components":[33],"and":[34,69,89,112,139,172],"application-specific":[36],"machine":[37],"learning":[38],"IP":[39],"(ML-IP),":[41],"which":[42,75,146],"is":[43,65,127,147],"used":[44],"to":[45,77,106,131,158],"implement":[46],"computationally":[48],"intensive":[49],"inference.":[50],"was":[53],"designed":[54],"maximum":[56],"energy":[57],"efficiency.":[58],"A":[59],"special":[60],"feature":[61],"ML-IP":[64,74],"its":[66],"modular,":[67],"generic":[68],"scalable":[70],"design":[71,111],"allows":[76,99],"specify":[78],"quantization":[80],"each":[82],"computational":[83,132],"operation,":[84],"degree":[86],"parallelization":[88],"architecture":[91,113,164],"network.":[95],"This":[96,155],"turn":[98],"use":[101],"ML-based":[103],"optimization":[104,122],"techniques":[105],"perform":[107],"co-optimization":[108],"hardware":[110],"network":[117,163],"(NNs).":[118],"Here,":[119],"multi-objective":[121,144],"overall":[125],"system":[126],"performed":[128],"with":[129,165],"respect":[130],"efficiency":[133],"at":[134],"given":[136],"classification":[137],"accuracy":[138],"speed":[140],"by":[141],"optimization,":[145],"carried":[148],"out":[149],"probabilistic":[152],"surrogate":[153],"model.":[154],"model":[156],"tries":[157],"find":[159],"optimal":[161],"minimum":[167],"number":[168],"training,":[170],"simulation":[171],"evaluation":[173],"steps.":[174]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}