{"id":"https://openalex.org/W3131784824","doi":"https://doi.org/10.1109/vlsi-soc46417.2020.9344075","title":"Optimization Tools for ConvNets on the Edge","display_name":"Optimization Tools for ConvNets on the Edge","publication_year":2020,"publication_date":"2020-10-05","ids":{"openalex":"https://openalex.org/W3131784824","doi":"https://doi.org/10.1109/vlsi-soc46417.2020.9344075","mag":"3131784824"},"language":"en","primary_location":{"id":"doi:10.1109/vlsi-soc46417.2020.9344075","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vlsi-soc46417.2020.9344075","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IFIP/IEEE 28th International Conference on Very Large Scale Integration (VLSI-SOC)","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/A5084909548","display_name":"Valentino Peluso","orcid":"https://orcid.org/0000-0003-0527-8602"},"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":"Valentino Peluso","raw_affiliation_strings":["Politecnico di Torino,Torino,Italy,10129"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Politecnico di Torino,Torino,Italy,10129","institution_ids":["https://openalex.org/I177477856"]}]},{"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":"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":"Enrico Macii","raw_affiliation_strings":["Politecnico di Torino,Torino,Italy,10129"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Politecnico di Torino,Torino,Italy,10129","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034581393","display_name":"Andrea Calimera","orcid":"https://orcid.org/0000-0001-5881-3811"},"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":"Andrea Calimera","raw_affiliation_strings":["Politecnico di Torino,Torino,Italy,10129"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Politecnico di Torino,Torino,Italy,10129","institution_ids":["https://openalex.org/I177477856"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I177477856"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"204","last_page":"205"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994000196456909,"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":0.9994000196456909,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9950000047683716,"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":0.792641282081604},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.7585564851760864},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6463128328323364},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5827315449714661},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.5485084056854248},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.5149791836738586},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4324907660484314},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.41285446286201477},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36211538314819336},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.3207165598869324},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.174951434135437},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.1740729808807373}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.792641282081604},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.7585564851760864},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6463128328323364},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5827315449714661},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.5485084056854248},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.5149791836738586},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4324907660484314},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.41285446286201477},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36211538314819336},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3207165598869324},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.174951434135437},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1740729808807373},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vlsi-soc46417.2020.9344075","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vlsi-soc46417.2020.9344075","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IFIP/IEEE 28th International Conference on Very Large Scale Integration (VLSI-SOC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2370334813","https://openalex.org/W2752621782","https://openalex.org/W2796625795","https://openalex.org/W2801848938","https://openalex.org/W2803084856","https://openalex.org/W2805836477","https://openalex.org/W2890590696","https://openalex.org/W2900075744","https://openalex.org/W2982014643","https://openalex.org/W2990322914","https://openalex.org/W3012561096"],"related_works":["https://openalex.org/W4313339048","https://openalex.org/W4386004629","https://openalex.org/W3176734149","https://openalex.org/W3201779876","https://openalex.org/W3113627641","https://openalex.org/W2918879532","https://openalex.org/W3083220997","https://openalex.org/W2885461866","https://openalex.org/W2901937988","https://openalex.org/W3162654428"],"abstract_inverted_index":{"The":[0],"shift":[1],"of":[2,35,40],"Convolutional":[3],"Neural":[4],"Networks":[5],"(ConvNets)":[6],"into":[7],"low-power":[8],"devices":[9],"with":[10],"limited":[11],"compute":[12],"and":[13],"memory":[14],"resources":[15],"calls":[16],"for":[17,37],"cross-layer":[18],"strategies":[19],"spanning":[20],"from":[21],"hardware":[22],"to":[23,29],"software":[24],"optimization.":[25],"This":[26],"work":[27],"answers":[28],"this":[30],"need,":[31],"presenting":[32],"a":[33],"collection":[34],"tools":[36],"efficient":[38],"deployment":[39],"ConvNets":[41],"on":[42],"the":[43],"edge,":[44]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}