{"id":"https://openalex.org/W3133212831","doi":"https://doi.org/10.1109/vlsi-soc46417.2020.9344090","title":"Memory and Energy Efficient Method Toward Sparse Neural Network Using LFSR Indexing","display_name":"Memory and Energy Efficient Method Toward Sparse Neural Network Using LFSR Indexing","publication_year":2020,"publication_date":"2020-10-05","ids":{"openalex":"https://openalex.org/W3133212831","doi":"https://doi.org/10.1109/vlsi-soc46417.2020.9344090","mag":"3133212831"},"language":"en","primary_location":{"id":"doi:10.1109/vlsi-soc46417.2020.9344090","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vlsi-soc46417.2020.9344090","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/A5026872115","display_name":"Foroozan Karimzadeh","orcid":"https://orcid.org/0000-0001-8849-7784"},"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":"Foroozan Karimzadeh","raw_affiliation_strings":["School of Electrical and Computer Engineering Georgia Institute of Technology,Atlanta,Georgia,30332"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering Georgia Institute of Technology,Atlanta,Georgia,30332","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091408102","display_name":"Arijit Raychowdhury","orcid":"https://orcid.org/0000-0001-8391-0576"},"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":"Arijit Raychowdhury","raw_affiliation_strings":["School of Electrical and Computer Engineering Georgia Institute of Technology,Atlanta,Georgia,30332"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering Georgia Institute of Technology,Atlanta,Georgia,30332","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":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"206","last_page":"207"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"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":0.9995999932289124,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9988999962806702,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.8082208633422852},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.8076217770576477},{"id":"https://openalex.org/keywords/memory-footprint","display_name":"Memory footprint","score":0.7883186340332031},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6219074130058289},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5885039567947388},{"id":"https://openalex.org/keywords/footprint","display_name":"Footprint","score":0.564037024974823},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.5150148868560791},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.4762130677700043},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.46780943870544434},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.45447784662246704},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.4108867049217224},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.36145302653312683},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.3515182137489319},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24187323451042175}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8082208633422852},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.8076217770576477},{"id":"https://openalex.org/C74912251","wikidata":"https://www.wikidata.org/wiki/Q6815727","display_name":"Memory footprint","level":2,"score":0.7883186340332031},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6219074130058289},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5885039567947388},{"id":"https://openalex.org/C132943942","wikidata":"https://www.wikidata.org/wiki/Q2562511","display_name":"Footprint","level":2,"score":0.564037024974823},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.5150148868560791},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.4762130677700043},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.46780943870544434},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.45447784662246704},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.4108867049217224},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.36145302653312683},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3515182137489319},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24187323451042175},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vlsi-soc46417.2020.9344090","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vlsi-soc46417.2020.9344090","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":3,"referenced_works":["https://openalex.org/W2119144962","https://openalex.org/W2560384232","https://openalex.org/W3091350994"],"related_works":["https://openalex.org/W3137434606","https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W4313526662","https://openalex.org/W3111395152","https://openalex.org/W4312996489","https://openalex.org/W3106131444","https://openalex.org/W3216099748","https://openalex.org/W4205963435","https://openalex.org/W4295943704"],"abstract_inverted_index":{"Deep":[0],"Neural":[1],"Networks":[2],"(DNNs)":[3],"require":[4],"enormous":[5],"computational":[6],"power":[7,47,90],"and":[8,37,46,59,91,98],"storage":[9],"memory.":[10],"This":[11],"impose":[12],"a":[13,33,64,77,88],"critical":[14],"challenge":[15],"to":[16,41,51,54,95],"their":[17],"efficient":[18],"deployment":[19],"on":[20,57,104],"resource-constrained":[21],"computing":[22],"platforms":[23],"such":[24],"as":[25],"edge":[26,58],"devices.":[27,61],"In":[28],"this":[29],"paper,":[30],"we":[31,62],"present":[32],"novel":[34],"pruning":[35,66],"algorithm":[36],"its":[38],"hardware":[39],"implementation":[40],"reduce":[42],"the":[43,69],"required":[44],"memory-footprint":[45],"usage":[48],"of":[49,71],"DNNs":[50],"enable":[52],"them":[53],"be":[55],"deployable":[56],"mobile":[60],"demonstrated":[63],"hardware-friendly":[65],"method":[67],"where":[68],"locations":[70],"non-zero":[72],"weights":[73],"are":[74],"derived":[75],"from":[76],"Linear":[78],"Feedback":[79],"Shift":[80],"Registers":[81],"(LFSRs)":[82],"in":[83],"real-time.":[84],"The":[85],"results":[86],"show":[87],"total":[89],"area":[92],"savings":[93],"up":[94],"49.97":[96],"%":[97,100],"50.20":[99],"for":[101],"VGG-16":[102],"network":[103],"down-sampled":[105],"ImageNet,":[106],"respectively.":[107]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
