{"id":"https://openalex.org/W2488255893","doi":"https://doi.org/10.1145/2934583.2934599","title":"DeLight","display_name":"DeLight","publication_year":2016,"publication_date":"2016-07-29","ids":{"openalex":"https://openalex.org/W2488255893","doi":"https://doi.org/10.1145/2934583.2934599","mag":"2488255893"},"language":"en","primary_location":{"id":"doi:10.1145/2934583.2934599","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2934583.2934599","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 International Symposium on Low Power Electronics and Design","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/A5035073741","display_name":"Bita Darvish Rouhani","orcid":"https://orcid.org/0000-0002-8412-4320"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Bita Darvish Rouhani","raw_affiliation_strings":["Electrical and Computer Engineering Department, UC San Diego"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, UC San Diego","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070731184","display_name":"Azalia Mirhoseini","orcid":"https://orcid.org/0000-0002-2440-0944"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Azalia Mirhoseini","raw_affiliation_strings":["Electrical and Computer Engineering Department, Rice University"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Rice University","institution_ids":["https://openalex.org/I74775410"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019931011","display_name":"Farinaz Koushanfar","orcid":"https://orcid.org/0000-0003-0798-3794"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Farinaz Koushanfar","raw_affiliation_strings":["Electrical and Computer Engineering Department, UC San Diego"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, UC San Diego","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5035073741"],"corresponding_institution_ids":["https://openalex.org/I36258959"],"apc_list":null,"apc_paid":null,"fwci":3.3401,"has_fulltext":false,"cited_by_count":44,"citation_normalized_percentile":{"value":0.95077785,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"112","last_page":"117"},"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9980999827384949,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9916999936103821,"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":0.7854993343353271},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6250036954879761},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.605499267578125},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5673915147781372},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5633716583251953},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.5403329133987427},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4865071177482605},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.47466662526130676},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47354191541671753},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4598875939846039},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4381892681121826},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42998653650283813},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3830846846103668},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.14603230357170105},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11031502485275269}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7854993343353271},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6250036954879761},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.605499267578125},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5673915147781372},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5633716583251953},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.5403329133987427},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4865071177482605},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.47466662526130676},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47354191541671753},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4598875939846039},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4381892681121826},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42998653650283813},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3830846846103668},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.14603230357170105},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11031502485275269},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2934583.2934599","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2934583.2934599","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 International Symposium on Low Power Electronics and Design","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8700000047683716,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W104184427","https://openalex.org/W1521436688","https://openalex.org/W1669276382","https://openalex.org/W1935978687","https://openalex.org/W1984541135","https://openalex.org/W2095705004","https://openalex.org/W2128260507","https://openalex.org/W2150341604","https://openalex.org/W2152175008","https://openalex.org/W2290150940","https://openalex.org/W2407983593","https://openalex.org/W2919115771","https://openalex.org/W3120740533","https://openalex.org/W4205947740","https://openalex.org/W6640289440","https://openalex.org/W6760385162"],"related_works":["https://openalex.org/W2109940557","https://openalex.org/W2466832359","https://openalex.org/W2081900870","https://openalex.org/W1582019636","https://openalex.org/W1499005795","https://openalex.org/W3172493050","https://openalex.org/W4385420271","https://openalex.org/W4312192618","https://openalex.org/W2593798266","https://openalex.org/W4385414918"],"abstract_inverted_index":{"Physical":[0],"viability,":[1],"in":[2,10,34,60],"particular":[3],"energy":[4,28,47,53,188],"efficiency,":[5],"is":[6,71,95],"a":[7,31,96,106,130],"key":[8,91],"challenge":[9],"realizing":[11],"the":[12,27,35,46,57,63,76,80,87,112,125,133,138,152,170,192],"true":[13],"potential":[14],"of":[15,38,103,121,132,140,163,177],"Deep":[16],"Neural":[17],"Networks":[18],"(DNNs).":[19],"In":[20],"this":[21],"paper,":[22],"we":[23],"aim":[24],"to":[25,43,55,62,73,79,92,105,136,149,159,169,186,191],"incorporate":[26],"dimension":[29],"as":[30,129],"design":[32],"parameter":[33],"higher-level":[36],"hierarchy":[37],"DNN":[39,77,142,166],"training":[40,139],"and":[41,49,99,181],"execution":[42],"optimize":[44],"for":[45,175],"resources":[48],"constraints.":[50],"We":[51,123],"use":[52],"characterization":[54],"bound":[56],"network":[58],"size":[59],"accordance":[61],"pertinent":[64],"physical":[65],"resources.":[66],"An":[67],"automated":[68],"customization":[69],"methodology":[70],"proposed":[72],"adaptively":[74],"conform":[75],"configurations":[78],"underlying":[81,171],"hardware":[82],"characteristics":[83],"while":[84],"minimally":[85],"affecting":[86],"inference":[88,153],"accuracy.":[89,154],"The":[90],"our":[93],"approach":[94],"new":[97],"context":[98],"resource":[100],"aware":[101],"projection":[102,135],"data":[104,115,134],"lower-dimensional":[107],"embedding":[108],"by":[109],"which":[110,144],"learning":[111],"correlation":[113],"between":[114],"samples":[116],"requires":[117],"significantly":[118],"smaller":[119],"number":[120],"neurons.":[122],"leverage":[124],"performance":[126],"gain":[127],"achieved":[128],"result":[131],"enable":[137],"different":[141,178],"architectures":[143],"can":[145],"be":[146],"aggregated":[147],"together":[148],"further":[150],"boost":[151],"Accompanying":[155],"APIs":[156],"are":[157],"provided":[158],"facilitate":[160],"rapid":[161],"prototyping":[162],"an":[164],"arbitrary":[165],"application":[167],"customized":[168],"platform.":[172],"Proof-of-concept":[173],"evaluations":[174],"deployment":[176],"visual,":[179],"audio,":[180],"smart-sensing":[182],"benchmarks":[183],"demonstrate":[184],"up":[185],"100-fold":[187],"improvement":[189],"compared":[190],"prior-art":[193],"DL":[194],"solutions.":[195]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-08-23T00:00:00"}