{"id":"https://openalex.org/W2790964477","doi":"https://doi.org/10.1109/tcad.2018.2801228","title":"Design and Analysis of a Neural Network Inference Engine Based on Adaptive Weight Compression","display_name":"Design and Analysis of a Neural Network Inference Engine Based on Adaptive Weight Compression","publication_year":2018,"publication_date":"2018-02-02","ids":{"openalex":"https://openalex.org/W2790964477","doi":"https://doi.org/10.1109/tcad.2018.2801228","mag":"2790964477"},"language":"en","primary_location":{"id":"doi:10.1109/tcad.2018.2801228","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcad.2018.2801228","pdf_url":null,"source":{"id":"https://openalex.org/S100835903","display_name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","issn_l":"0278-0070","issn":["0278-0070","1937-4151"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","raw_type":"journal-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/A5063908850","display_name":"Jong Hwan Ko","orcid":"https://orcid.org/0000-0003-4434-4318"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jong Hwan Ko","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":"https://orcid.org/0000-0003-4434-4318","affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041847927","display_name":"Duck-Hwan Kim","orcid":"https://orcid.org/0000-0002-6494-2182"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Duckhwan Kim","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":"https://orcid.org/0000-0002-6494-2182","affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002187268","display_name":"Taesik Na","orcid":"https://orcid.org/0000-0003-2039-3772"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Taesik Na","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":"https://orcid.org/0000-0003-2039-3772","affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009591041","display_name":"Saibal Mukhopadhyay","orcid":"https://orcid.org/0000-0002-8894-3390"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saibal Mukhopadhyay","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":1.0937,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.78580489,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":97},"biblio":{"volume":"38","issue":"1","first_page":"109","last_page":"121"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T10320","display_name":"Neural Networks and Applications","score":0.9987000226974487,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.7870891094207764},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7798341512680054},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6311044096946716},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.5418544411659241},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.5391656756401062},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.536336362361908},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.5051153302192688},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.48304158449172974},{"id":"https://openalex.org/keywords/adaptive-neuro-fuzzy-inference-system","display_name":"Adaptive neuro fuzzy inference system","score":0.4619593620300293},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45314958691596985},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.42715656757354736},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4270557761192322},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4235053062438965},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37561947107315063},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.15272974967956543},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13467243313789368},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09816867113113403},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.08367758989334106}],"concepts":[{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.7870891094207764},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7798341512680054},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6311044096946716},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.5418544411659241},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.5391656756401062},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.536336362361908},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.5051153302192688},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.48304158449172974},{"id":"https://openalex.org/C186108316","wikidata":"https://www.wikidata.org/wiki/Q352530","display_name":"Adaptive neuro fuzzy inference system","level":4,"score":0.4619593620300293},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45314958691596985},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.42715656757354736},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4270557761192322},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4235053062438965},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37561947107315063},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.15272974967956543},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13467243313789368},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09816867113113403},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.08367758989334106},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.0},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.0},{"id":"https://openalex.org/C511840579","wikidata":"https://www.wikidata.org/wiki/Q12757","display_name":"Internal combustion engine","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcad.2018.2801228","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcad.2018.2801228","pdf_url":null,"source":{"id":"https://openalex.org/S100835903","display_name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","issn_l":"0278-0070","issn":["0278-0070","1937-4151"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G430976874","display_name":null,"funder_award_id":"CNS-1054429","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1669276382","https://openalex.org/W1825672851","https://openalex.org/W1999234249","https://openalex.org/W2037379142","https://openalex.org/W2053615983","https://openalex.org/W2058641082","https://openalex.org/W2081547991","https://openalex.org/W2112796928","https://openalex.org/W2133671888","https://openalex.org/W2163605009","https://openalex.org/W2165473669","https://openalex.org/W2194775991","https://openalex.org/W2260663238","https://openalex.org/W2285660444","https://openalex.org/W2300242332","https://openalex.org/W2308155233","https://openalex.org/W2335728318","https://openalex.org/W2382313035","https://openalex.org/W2399948372","https://openalex.org/W2475884125","https://openalex.org/W2481166585","https://openalex.org/W2507424718","https://openalex.org/W2518511512","https://openalex.org/W2525098248","https://openalex.org/W2552340337","https://openalex.org/W2565960208","https://openalex.org/W2582737986","https://openalex.org/W2585140699","https://openalex.org/W2594492285","https://openalex.org/W2594836184","https://openalex.org/W2605347906","https://openalex.org/W2612445135","https://openalex.org/W2613543507","https://openalex.org/W2964299589","https://openalex.org/W3003694668","https://openalex.org/W3024621361","https://openalex.org/W3105314253","https://openalex.org/W4251867447","https://openalex.org/W4294371482","https://openalex.org/W4297775537","https://openalex.org/W6638839971","https://openalex.org/W6684191040","https://openalex.org/W6692521979","https://openalex.org/W6698200048","https://openalex.org/W6703116779","https://openalex.org/W6725501651","https://openalex.org/W6737664043"],"related_works":["https://openalex.org/W2079317912","https://openalex.org/W1999234249","https://openalex.org/W2358942947","https://openalex.org/W2405666815","https://openalex.org/W3206274587","https://openalex.org/W3004418277","https://openalex.org/W2165037343","https://openalex.org/W2182922489","https://openalex.org/W3106612471","https://openalex.org/W2790964477"],"abstract_inverted_index":{"Neural":[0],"networks":[1],"generally":[2],"require":[3],"significant":[4],"memory":[5,97,112],"capacity/bandwidth":[6],"to":[7,100],"store/access":[8],"a":[9,32],"large":[10],"number":[11],"of":[12,19,48,60],"synaptic":[13],"weights.":[14],"This":[15],"paper":[16],"presents":[17],"design":[18],"an":[20],"energy-efficient":[21],"neural":[22,107],"network":[23,108],"inference":[24,109],"engine":[25],"based":[26],"on":[27,56],"adaptive":[28],"weight":[29],"compression":[30,39,72],"using":[31],"JPEG":[33,50],"image":[34],"encoding":[35],"algorithm.":[36],"To":[37],"maximize":[38],"ratio":[40],"with":[41,81,93],"minimum":[42],"accuracy":[43,58,65],"loss,":[44,66],"the":[45,49,57,67,82],"quality":[46],"factor":[47],"encoder":[51],"is":[52],"adaptively":[53],"controlled":[54],"depending":[55],"impact":[59],"each":[61],"block.":[62],"With":[63],"1%":[64],"proposed":[68],"approach":[69],"achieves":[70],"63.4\u00d7":[71],"for":[73,79,87,91,106,119],"multilayer":[74],"perceptron":[75],"(MLP)":[76],"and":[77,85,89,103,114],"31.3\u00d7":[78],"LeNet-5":[80],"MNIST":[83],"dataset,":[84],"15.3\u00d7":[86],"AlexNet":[88],"10.2\u00d7":[90],"ResNet-50":[92],"ImageNet.":[94],"The":[95],"reduced":[96],"requirement":[98],"leads":[99],"higher":[101],"throughput":[102],"lower":[104,116],"energy":[105,118],"(3\u00d7":[110],"effective":[111],"bandwidth":[113],"22\u00d7":[115],"system":[117],"MLP).":[120]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}