{"id":"https://openalex.org/W3166380549","doi":"https://doi.org/10.1109/ieeeconf51394.2020.9443426","title":"A Neural Network Engine for Resource Constrained Embedded Systems","display_name":"A Neural Network Engine for Resource Constrained Embedded Systems","publication_year":2020,"publication_date":"2020-11-01","ids":{"openalex":"https://openalex.org/W3166380549","doi":"https://doi.org/10.1109/ieeeconf51394.2020.9443426","mag":"3166380549"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf51394.2020.9443426","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf51394.2020.9443426","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 54th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://orbit.dtu.dk/en/publications/4cea061a-a5ec-4426-8567-2cb2ca6ac494","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009891957","display_name":"Zuzana Jel\u010dicov\u00e1","orcid":"https://orcid.org/0000-0003-1292-8634"},"institutions":[{"id":"https://openalex.org/I96673099","display_name":"Technical University of Denmark","ror":"https://ror.org/04qtj9h94","country_code":"DK","type":"education","lineage":["https://openalex.org/I96673099"]},{"id":"https://openalex.org/I4210091381","display_name":"William Demant Holding (Denmark)","ror":"https://ror.org/00an7pj80","country_code":"DK","type":"company","lineage":["https://openalex.org/I4210091381"]}],"countries":["DK"],"is_corresponding":true,"raw_author_name":"Zuzana Jelcicova","raw_affiliation_strings":["Demant A/S,Sm&#x00F8;rum,DK","Technical University of Denmark, Kgs. Lyngby, DK"],"affiliations":[{"raw_affiliation_string":"Demant A/S,Sm&#x00F8;rum,DK","institution_ids":["https://openalex.org/I4210091381"]},{"raw_affiliation_string":"Technical University of Denmark, Kgs. Lyngby, DK","institution_ids":["https://openalex.org/I96673099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055030641","display_name":"Adrian Mardari","orcid":null},"institutions":[{"id":"https://openalex.org/I4210091381","display_name":"William Demant Holding (Denmark)","ror":"https://ror.org/00an7pj80","country_code":"DK","type":"company","lineage":["https://openalex.org/I4210091381"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Adrian Mardari","raw_affiliation_strings":["Demant A/S,Sm&#x00F8;rum,DK"],"affiliations":[{"raw_affiliation_string":"Demant A/S,Sm&#x00F8;rum,DK","institution_ids":["https://openalex.org/I4210091381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019912356","display_name":"Oskar Andersson","orcid":"https://orcid.org/0000-0003-1663-5599"},"institutions":[{"id":"https://openalex.org/I4210091381","display_name":"William Demant Holding (Denmark)","ror":"https://ror.org/00an7pj80","country_code":"DK","type":"company","lineage":["https://openalex.org/I4210091381"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Oskar Andersson","raw_affiliation_strings":["Demant A/S,Sm&#x00F8;rum,DK"],"affiliations":[{"raw_affiliation_string":"Demant A/S,Sm&#x00F8;rum,DK","institution_ids":["https://openalex.org/I4210091381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011223199","display_name":"Evangelia Kasapaki","orcid":null},"institutions":[{"id":"https://openalex.org/I4210091381","display_name":"William Demant Holding (Denmark)","ror":"https://ror.org/00an7pj80","country_code":"DK","type":"company","lineage":["https://openalex.org/I4210091381"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Evangelia Kasapaki","raw_affiliation_strings":["Demant A/S,Sm&#x00F8;rum,DK"],"affiliations":[{"raw_affiliation_string":"Demant A/S,Sm&#x00F8;rum,DK","institution_ids":["https://openalex.org/I4210091381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055051850","display_name":"Jens Spars\u00f8","orcid":"https://orcid.org/0000-0002-0961-9438"},"institutions":[{"id":"https://openalex.org/I96673099","display_name":"Technical University of Denmark","ror":"https://ror.org/04qtj9h94","country_code":"DK","type":"education","lineage":["https://openalex.org/I96673099"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Jens Sparso","raw_affiliation_strings":["Technical University of Denmark,Kgs. Lyngby,DK","Technical University of Denmark, Kgs. Lyngby, DK"],"affiliations":[{"raw_affiliation_string":"Technical University of Denmark,Kgs. Lyngby,DK","institution_ids":["https://openalex.org/I96673099"]},{"raw_affiliation_string":"Technical University of Denmark, Kgs. Lyngby, DK","institution_ids":["https://openalex.org/I96673099"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5009891957"],"corresponding_institution_ids":["https://openalex.org/I4210091381","https://openalex.org/I96673099"],"apc_list":null,"apc_paid":null,"fwci":0.2706,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.67295306,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"37","issue":null,"first_page":"125","last_page":"131"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9990000128746033,"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/T10860","display_name":"Speech and Audio Processing","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9968000054359436,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8274585008621216},{"id":"https://openalex.org/keywords/datapath","display_name":"Datapath","score":0.6445251703262329},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6057723760604858},{"id":"https://openalex.org/keywords/auxiliary-memory","display_name":"Auxiliary memory","score":0.4577556848526001},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.43521901965141296},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.4343821108341217},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.3841768205165863},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.34071823954582214},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3377302289009094},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13772034645080566}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8274585008621216},{"id":"https://openalex.org/C2781198647","wikidata":"https://www.wikidata.org/wiki/Q1633673","display_name":"Datapath","level":2,"score":0.6445251703262329},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6057723760604858},{"id":"https://openalex.org/C82687282","wikidata":"https://www.wikidata.org/wiki/Q66221","display_name":"Auxiliary memory","level":2,"score":0.4577556848526001},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.43521901965141296},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.4343821108341217},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3841768205165863},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.34071823954582214},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3377302289009094},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13772034645080566},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ieeeconf51394.2020.9443426","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf51394.2020.9443426","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 54th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/4cea061a-a5ec-4426-8567-2cb2ca6ac494","is_oa":true,"landing_page_url":"https://orbit.dtu.dk/en/publications/4cea061a-a5ec-4426-8567-2cb2ca6ac494","pdf_url":null,"source":{"id":"https://openalex.org/S4306400705","display_name":"Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I96673099","host_organization_name":"Technical University of Denmark","host_organization_lineage":["https://openalex.org/I96673099"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Jelcicova , Z , Mardari , A , Andersson , O , Kasapaki , E &amp; Spars\u00f8 , J 2020 , A Neural Network Engine for Resource Constrained Embedded Systems . in Proceedings of 54 th Asilomar Conference on Signals, Systems, and Computers . IEEE , pp. 125-131 , 54 th Asilomar Conference on Signals, Systems, and Computers , Pacific Grove , California , United States , 01/11/2020 . https://doi.org/10.1109/IEEECONF51394.2020.9443426","raw_type":"contributionToPeriodical"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:publications/4cea061a-a5ec-4426-8567-2cb2ca6ac494","is_oa":true,"landing_page_url":"https://orbit.dtu.dk/en/publications/4cea061a-a5ec-4426-8567-2cb2ca6ac494","pdf_url":null,"source":{"id":"https://openalex.org/S4306400705","display_name":"Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I96673099","host_organization_name":"Technical University of Denmark","host_organization_lineage":["https://openalex.org/I96673099"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Jelcicova , Z , Mardari , A , Andersson , O , Kasapaki , E &amp; Spars\u00f8 , J 2020 , A Neural Network Engine for Resource Constrained Embedded Systems . in Proceedings of 54 th Asilomar Conference on Signals, Systems, and Computers . IEEE , pp. 125-131 , 54 th Asilomar Conference on Signals, Systems, and Computers , Pacific Grove , California , United States , 01/11/2020 . https://doi.org/10.1109/IEEECONF51394.2020.9443426","raw_type":"contributionToPeriodical"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W193089420","https://openalex.org/W587794757","https://openalex.org/W1605005685","https://openalex.org/W1841592590","https://openalex.org/W1923344279","https://openalex.org/W1984541135","https://openalex.org/W2114508814","https://openalex.org/W2117539524","https://openalex.org/W2241183161","https://openalex.org/W2257979135","https://openalex.org/W2276486856","https://openalex.org/W2581082771","https://openalex.org/W2594928698","https://openalex.org/W2604319603","https://openalex.org/W2769912137","https://openalex.org/W2785961331","https://openalex.org/W2797583228","https://openalex.org/W2803113791","https://openalex.org/W2898867055","https://openalex.org/W2899441512","https://openalex.org/W2950769435","https://openalex.org/W2963122961","https://openalex.org/W2963374099","https://openalex.org/W2964087376","https://openalex.org/W3005319366","https://openalex.org/W3016076969","https://openalex.org/W3134707198","https://openalex.org/W6638783484","https://openalex.org/W6640325754","https://openalex.org/W6677192272","https://openalex.org/W6677651945","https://openalex.org/W6690190086","https://openalex.org/W6694717790","https://openalex.org/W6746451879","https://openalex.org/W6748522178","https://openalex.org/W6750665317","https://openalex.org/W6751528251"],"related_works":["https://openalex.org/W2109699519","https://openalex.org/W2006568360","https://openalex.org/W102726818","https://openalex.org/W4233616027","https://openalex.org/W2059591361","https://openalex.org/W2048582679","https://openalex.org/W2782226720","https://openalex.org/W2991958541","https://openalex.org/W47036539","https://openalex.org/W261301397"],"abstract_inverted_index":{"This":[0,40],"paper":[1],"introduces":[2],"a":[3,20,45,63,72,91,154,161],"dedicated":[4],"neural":[5,75,82,109,163],"network":[6,76,83,110],"engine":[7,84,111,150],"developed":[8],"for":[9,26,53,160],"resource":[10],"constrained":[11],"embedded":[12],"devices":[13],"such":[14],"as":[15,77,115,117],"hearing":[16,104],"aids.":[17],"It":[18,120],"implements":[19],"novel":[21],"dynamic":[22],"two-step":[23,145],"scaling":[24,46,146],"technique":[25,41],"quantizing":[27],"the":[28,81,108,122,144,149],"activations":[29],"in":[30,100,128,153],"order":[31],"to":[32],"minimize":[33],"word":[34],"size":[35],"and":[36,126,139],"thereby":[37],"memory":[38,136,140],"traffic.":[39],"requires":[42],"neither":[43],"computing":[44],"factor":[47],"during":[48],"training":[49],"nor":[50],"expensive":[51],"hardware":[52],"on-the-fly":[54],"quantization.":[55],"Memory":[56],"traffic":[57],"is":[58,85],"further":[59],"reduced":[60],"by":[61,98],"using":[62],"12-element":[64],"vectorized":[65],"multiply-accumulate":[66],"datapath":[67],"that":[68,148],"supports":[69],"data-reuse.":[70],"Using":[71],"keyword":[73],"spotting":[74],"benchmark,":[78],"performance":[79],"of":[80,102,157],"compared":[86],"with":[87],"an":[88],"implementation":[89],"on":[90],"typical":[92],"audio":[93],"digital":[94,123],"signal":[95,124],"processor":[96,125],"used":[97],"Demant":[99],"some":[101],"its":[103],"instruments.":[105],"In":[106],"general,":[107],"offers":[112],"small":[113],"area":[114],"well":[116],"low":[118],"power.":[119],"outperforms":[121],"results":[127],"significant":[129],"reduction":[130],"of,":[131],"among":[132],"others,":[133],"power":[134],"(5\u00d7),":[135],"accesses":[137],"(5.5\u00d7),":[138],"requirements":[141],"(3\u00d7).":[142],"Furthermore,":[143],"ensures":[147],"always":[151],"executes":[152],"deterministic":[155],"number":[156],"clock":[158],"cycles":[159],"given":[162],"network.":[164]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
