{"id":"https://openalex.org/W3092216062","doi":"https://doi.org/10.1109/dac18072.2020.9218736","title":"Non-uniform DNN Structured Subnets Sampling for Dynamic Inference","display_name":"Non-uniform DNN Structured Subnets Sampling for Dynamic Inference","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3092216062","doi":"https://doi.org/10.1109/dac18072.2020.9218736","mag":"3092216062"},"language":"en","primary_location":{"id":"doi:10.1109/dac18072.2020.9218736","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dac18072.2020.9218736","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 57th ACM/IEEE Design Automation Conference (DAC)","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/A5100419157","display_name":"Li Yang","orcid":"https://orcid.org/0000-0002-2839-6196"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Li Yang","raw_affiliation_strings":["School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ"],"affiliations":[{"raw_affiliation_string":"School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036755436","display_name":"Zhezhi He","orcid":"https://orcid.org/0000-0002-6357-236X"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhezhi He","raw_affiliation_strings":["School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ"],"affiliations":[{"raw_affiliation_string":"School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100740019","display_name":"Yu Cao","orcid":"https://orcid.org/0000-0001-6968-1180"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Cao","raw_affiliation_strings":["School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ"],"affiliations":[{"raw_affiliation_string":"School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047916979","display_name":"Deliang Fan","orcid":"https://orcid.org/0000-0002-7989-6297"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Deliang Fan","raw_affiliation_strings":["School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ"],"affiliations":[{"raw_affiliation_string":"School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100419157"],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":0.977,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.784634,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"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/T10036","display_name":"Advanced Neural Network Applications","score":1.0,"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":1.0,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9984999895095825,"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/T12676","display_name":"Machine Learning and ELM","score":0.9970999956130981,"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":0.8182318210601807},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5650784373283386},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5476802587509155},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.5141521096229553},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5005204677581787},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5003244876861572},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.47927114367485046},{"id":"https://openalex.org/keywords/hardware-acceleration","display_name":"Hardware acceleration","score":0.46192994713783264},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.4456942081451416},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4146384298801422},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.37029901146888733},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3341059386730194},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.2501814365386963},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2415870726108551},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17711636424064636},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.14375409483909607}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8182318210601807},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5650784373283386},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5476802587509155},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.5141521096229553},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5005204677581787},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5003244876861572},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.47927114367485046},{"id":"https://openalex.org/C13164978","wikidata":"https://www.wikidata.org/wiki/Q600158","display_name":"Hardware acceleration","level":3,"score":0.46192994713783264},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.4456942081451416},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4146384298801422},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.37029901146888733},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3341059386730194},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.2501814365386963},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2415870726108551},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17711636424064636},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.14375409483909607},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dac18072.2020.9218736","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dac18072.2020.9218736","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 57th ACM/IEEE Design Automation Conference (DAC)","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":45,"referenced_works":["https://openalex.org/W1583837637","https://openalex.org/W1821462560","https://openalex.org/W2108598243","https://openalex.org/W2119144962","https://openalex.org/W2138019504","https://openalex.org/W2167215970","https://openalex.org/W2194775991","https://openalex.org/W2524428287","https://openalex.org/W2553303224","https://openalex.org/W2582745083","https://openalex.org/W2612445135","https://openalex.org/W2767421475","https://openalex.org/W2810075754","https://openalex.org/W2905741102","https://openalex.org/W2919115771","https://openalex.org/W2928560789","https://openalex.org/W2950014519","https://openalex.org/W2950248853","https://openalex.org/W2951104886","https://openalex.org/W2962851801","https://openalex.org/W2962935523","https://openalex.org/W2962965870","https://openalex.org/W2963000224","https://openalex.org/W2963163009","https://openalex.org/W2963393494","https://openalex.org/W2963674932","https://openalex.org/W2963766446","https://openalex.org/W2963821229","https://openalex.org/W2964299589","https://openalex.org/W2981698279","https://openalex.org/W3118608800","https://openalex.org/W4297775537","https://openalex.org/W6638523607","https://openalex.org/W6677580257","https://openalex.org/W6684563725","https://openalex.org/W6725543821","https://openalex.org/W6726275242","https://openalex.org/W6727208969","https://openalex.org/W6729956949","https://openalex.org/W6732814185","https://openalex.org/W6737664043","https://openalex.org/W6745447533","https://openalex.org/W6752515464","https://openalex.org/W6757036269","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W3204400881","https://openalex.org/W3214410901","https://openalex.org/W3204296682","https://openalex.org/W3183118997","https://openalex.org/W2917767146","https://openalex.org/W4319952061","https://openalex.org/W4280636456","https://openalex.org/W4388913998","https://openalex.org/W4310584535","https://openalex.org/W4295935044"],"abstract_inverted_index":{"With":[0],"the":[1,68,107,111,117,122,135],"success":[2],"of":[3,116],"Deep":[4],"Neural":[5],"Networks":[6],"(DNN),":[7],"many":[8],"recent":[9],"works":[10],"have":[11],"been":[12],"focusing":[13],"on":[14,110,125,171],"developing":[15],"hardware":[16,55],"accelerator":[17],"for":[18,90,163],"power":[19,58],"and":[20,33,103,128,140,158,168],"resource-limited":[21],"system":[22],"via":[23,86],"model":[24,124],"compression":[25],"techniques,":[26],"such":[27],"as":[28,62,64],"quantization,":[29],"pruning,":[30],"low-rank":[31],"approximation":[32],"etc.":[34],"However,":[35],"almost":[36],"all":[37],"existing":[38],"compressed":[39],"DNNs":[40],"are":[41],"fixed":[42],"after":[43,106],"deployment,":[44,108],"which":[45,133],"lacks":[46],"run-time":[47,74],"adaptive":[48],"structure":[49],"to":[50,52,70],"adapt":[51],"its":[53],"dynamic":[54,65,75,112],"resource":[56],"allocation,":[57],"budget,":[59],"throughput":[60],"requirement,":[61],"well":[63],"workload.":[66],"As":[67],"countermeasure,":[69],"construct":[71],"a":[72,80],"novel":[73,81],"DNN":[76,82],"structure,":[77],"we":[78],"propose":[79],"sub-network":[83],"sampling":[84],"method":[85,148],"non-uniform":[87],"channel":[88],"selection":[89],"subnets":[91],"generation.":[92],"Thus,":[93],"user":[94],"can":[95,149],"trade":[96],"off":[97],"between":[98],"power,":[99],"speed,":[100],"computing":[101],"load":[102],"accuracy":[104],"on-the-fly":[105],"depending":[109],"requirements":[113],"or":[114],"specifications":[115],"given":[118],"system.":[119],"We":[120],"verify":[121],"proposed":[123],"both":[126],"CIFAR-10":[127],"ImageNet":[129,172],"dataset":[130],"using":[131,173],"ResNets,":[132],"outperforms":[134],"same":[136],"sub-nets":[137],"trained":[138],"individually":[139],"other":[141],"related":[142],"works.":[143],"It":[144],"shows":[145],"that,":[146],"our":[147],"achieve":[150],"latency":[151],"trade-off":[152],"among":[153],"13.4,":[154],"24.6,":[155],"41.3,":[156],"62.1(ms)":[157],"30.5,":[159],"38.7,":[160],"51,":[161],"65.4(ms)":[162],"GPU":[164],"with":[165],"128":[166],"batch-size":[167],"CPU":[169],"respectively":[170],"ResNet18.":[174]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}