{"id":"https://openalex.org/W3188642048","doi":"https://doi.org/10.1109/islped52811.2021.9502494","title":"TCN Mapping Optimization for Ultra-Low Power Time-Series Edge Inference","display_name":"TCN Mapping Optimization for Ultra-Low Power Time-Series Edge Inference","publication_year":2021,"publication_date":"2021-07-26","ids":{"openalex":"https://openalex.org/W3188642048","doi":"https://doi.org/10.1109/islped52811.2021.9502494","mag":"3188642048"},"language":"en","primary_location":{"id":"doi:10.1109/islped52811.2021.9502494","is_oa":false,"landing_page_url":"https://doi.org/10.1109/islped52811.2021.9502494","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2203.12925","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032095821","display_name":"Alessio Burrello","orcid":"https://orcid.org/0000-0002-6215-8220"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Alessio Burrello","raw_affiliation_strings":["University of Bologna, Bologna, Italy"],"affiliations":[{"raw_affiliation_string":"University of Bologna, Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034464382","display_name":"Alberto Dequino","orcid":"https://orcid.org/0000-0003-1393-7057"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alberto Dequino","raw_affiliation_strings":["University of Bologna, Bologna, Italy"],"affiliations":[{"raw_affiliation_string":"University of Bologna, Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080843266","display_name":"Daniele Jahier Pagliari","orcid":"https://orcid.org/0000-0002-2872-7071"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Daniele Jahier Pagliari","raw_affiliation_strings":["Politecnico di Torino, Turin, Italy"],"affiliations":[{"raw_affiliation_string":"Politecnico di Torino, Turin, Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038717922","display_name":"Francesco Conti","orcid":"https://orcid.org/0000-0002-7924-933X"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Conti","raw_affiliation_strings":["University of Bologna, Bologna, Italy"],"affiliations":[{"raw_affiliation_string":"University of Bologna, Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038906625","display_name":"Marcello Zanghieri","orcid":"https://orcid.org/0000-0002-4303-8389"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marcello Zanghieri","raw_affiliation_strings":["University of Bologna, Bologna, Italy"],"affiliations":[{"raw_affiliation_string":"University of Bologna, Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005432629","display_name":"Enrico Macii","orcid":"https://orcid.org/0000-0001-9046-5618"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Enrico Macii","raw_affiliation_strings":["Politecnico di Torino, Turin, Italy"],"affiliations":[{"raw_affiliation_string":"Politecnico di Torino, Turin, Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043408422","display_name":"Luca Benini","orcid":"https://orcid.org/0000-0001-8068-3806"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]},{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luca Benini","raw_affiliation_strings":["Politecnico di Torino, Turin, Italy","University of Bologna, Bologna, Italy"],"affiliations":[{"raw_affiliation_string":"Politecnico di Torino, Turin, Italy","institution_ids":["https://openalex.org/I177477856"]},{"raw_affiliation_string":"University of Bologna, Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024891882","display_name":"Massimo Poncino","orcid":"https://orcid.org/0000-0002-1369-9688"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Massimo Poncino","raw_affiliation_strings":["Politecnico di Torino, Turin, Italy"],"affiliations":[{"raw_affiliation_string":"Politecnico di Torino, Turin, Italy","institution_ids":["https://openalex.org/I177477856"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5032095821"],"corresponding_institution_ids":["https://openalex.org/I9360294"],"apc_list":null,"apc_paid":null,"fwci":1.2599,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.83802039,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9980999827384949,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9980999827384949,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9937999844551086,"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":0.7010403275489807},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5396312475204468},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.48340120911598206},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.48185598850250244},{"id":"https://openalex.org/keywords/microcontroller","display_name":"Microcontroller","score":0.450347363948822},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.44016820192337036},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.41094765067100525},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.3976302444934845},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3901883065700531},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.38771820068359375},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.33976322412490845},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.3269793391227722},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.291351318359375}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7010403275489807},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5396312475204468},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.48340120911598206},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.48185598850250244},{"id":"https://openalex.org/C173018170","wikidata":"https://www.wikidata.org/wiki/Q165678","display_name":"Microcontroller","level":2,"score":0.450347363948822},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.44016820192337036},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.41094765067100525},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.3976302444934845},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3901883065700531},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.38771820068359375},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.33976322412490845},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.3269793391227722},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.291351318359375},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/islped52811.2021.9502494","is_oa":false,"landing_page_url":"https://doi.org/10.1109/islped52811.2021.9502494","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2203.12925","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2203.12925","pdf_url":"https://arxiv.org/pdf/2203.12925","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:cris.unibo.it:11585/847018","is_oa":true,"landing_page_url":"https://ieeexplore.ieee.org/abstract/document/9502494","pdf_url":null,"source":{"id":"https://openalex.org/S4306402579","display_name":"Archivio istituzionale della ricerca (Alma Mater Studiorum Universit\u00e0 di Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210117483","host_organization_name":"Istituto di Ematologia di Bologna","host_organization_lineage":["https://openalex.org/I4210117483"],"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":"","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:cris.unibo.it:11585/904825","is_oa":false,"landing_page_url":"https://hdl.handle.net/11585/904825","pdf_url":null,"source":{"id":"https://openalex.org/S4306402579","display_name":"Archivio istituzionale della ricerca (Alma Mater Studiorum Universit\u00e0 di Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210117483","host_organization_name":"Istituto di Ematologia di Bologna","host_organization_lineage":["https://openalex.org/I4210117483"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2203.12925","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2203.12925","pdf_url":"https://arxiv.org/pdf/2203.12925","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.75,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2510642588","https://openalex.org/W2606722458","https://openalex.org/W2784372305","https://openalex.org/W2792764867","https://openalex.org/W2889339831","https://openalex.org/W2954580493","https://openalex.org/W2963255460","https://openalex.org/W2970796375","https://openalex.org/W2975044525","https://openalex.org/W2975673761","https://openalex.org/W2995086119","https://openalex.org/W3007729836","https://openalex.org/W3041192231","https://openalex.org/W3103292482","https://openalex.org/W3137875211","https://openalex.org/W6747876305","https://openalex.org/W6749825310","https://openalex.org/W6768463959","https://openalex.org/W6791829907"],"related_works":["https://openalex.org/W4316095964","https://openalex.org/W2383001583","https://openalex.org/W2771395446","https://openalex.org/W2131084560","https://openalex.org/W3112038843","https://openalex.org/W3209836052","https://openalex.org/W2088310429","https://openalex.org/W2161641032","https://openalex.org/W2496340490","https://openalex.org/W3096135418"],"abstract_inverted_index":{"Temporal":[0],"Convolutional":[1],"Networks":[2],"(TCNs)":[3],"are":[4],"emerging":[5],"lightweight":[6],"Deep":[7],"Learning":[8],"models":[9],"for":[10],"Time":[11],"Series":[12],"analysis.":[13],"We":[14,70],"introduce":[15],"an":[16],"automated":[17],"exploration":[18],"approach":[19,36,73],"and":[20,39,53,61,87,101,116],"a":[21,43,75],"library":[22],"of":[23,58,68],"optimized":[24],"kernels":[25],"to":[26,47,81,106,113],"map":[27],"TCNs":[28],"on":[29,74,98,120],"Parallel":[30],"Ultra-Low":[31],"Power":[32],"(PULP)":[33],"microcontrollers.":[34],"Our":[35],"minimizes":[37],"latency":[38,86],"energy":[40,92,111],"by":[41],"exploiting":[42],"layer":[44],"tiling":[45,51],"optimizer":[46],"jointly":[48],"find":[49],"the":[50,59,66,94,99,121],"dimensions":[52],"select":[54],"among":[55],"alternative":[56],"implementations":[57],"causal":[60],"dilated":[62],"1D-convolution":[63],"operations":[64],"at":[65],"core":[67],"TCNs.":[69],"benchmark":[71],"our":[72],"commercial":[76,114],"PULP":[77],"device,":[78],"achieving":[79],"up":[80],"$103":[82],"\\times":[83,89,104,108],"$":[84,90,105,109],"lower":[85,91,110],"$20.3":[88],"than":[93],"Cube-AI":[95],"toolkit":[96],"executed":[97],"STM32L4":[100],"from":[102],"$2.9":[103],"$26.6":[107],"compared":[112],"closed-source":[115],"academic":[117],"open-source":[118],"approaches":[119],"same":[122],"hardware":[123],"target.":[124]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}