{"id":"https://openalex.org/W3216902183","doi":"https://doi.org/10.1109/icce-tw52618.2021.9603025","title":"Block-Based Compression for Reducing Indexing Cost of DNN Accelerators","display_name":"Block-Based Compression for Reducing Indexing Cost of DNN Accelerators","publication_year":2021,"publication_date":"2021-09-15","ids":{"openalex":"https://openalex.org/W3216902183","doi":"https://doi.org/10.1109/icce-tw52618.2021.9603025","mag":"3216902183"},"language":"en","primary_location":{"id":"doi:10.1109/icce-tw52618.2021.9603025","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-tw52618.2021.9603025","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)","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/A5025296276","display_name":"Yui-Kai Weng","orcid":"https://orcid.org/0000-0001-6497-6780"},"institutions":[{"id":"https://openalex.org/I151221077","display_name":"Chung Yuan Christian University","ror":"https://ror.org/02w8ws377","country_code":"TW","type":"education","lineage":["https://openalex.org/I151221077"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yui-Kai Weng","raw_affiliation_strings":["Chung Yuan Christian University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chung Yuan Christian University, Taiwan","institution_ids":["https://openalex.org/I151221077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060945705","display_name":"Shih-Hsu Huang","orcid":"https://orcid.org/0000-0001-8908-8384"},"institutions":[{"id":"https://openalex.org/I151221077","display_name":"Chung Yuan Christian University","ror":"https://ror.org/02w8ws377","country_code":"TW","type":"education","lineage":["https://openalex.org/I151221077"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shih-Hsu Huang","raw_affiliation_strings":["Chung Yuan Christian University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chung Yuan Christian University, Taiwan","institution_ids":["https://openalex.org/I151221077"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049102423","display_name":"Hsu-Yu Kao","orcid":"https://orcid.org/0000-0003-2644-0007"},"institutions":[{"id":"https://openalex.org/I151221077","display_name":"Chung Yuan Christian University","ror":"https://ror.org/02w8ws377","country_code":"TW","type":"education","lineage":["https://openalex.org/I151221077"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsu-Yu Kao","raw_affiliation_strings":["Chung Yuan Christian University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chung Yuan Christian University, Taiwan","institution_ids":["https://openalex.org/I151221077"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I151221077"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.16470776,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9983999729156494,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9983999729156494,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9983000159263611,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.8114567995071411},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.8069928884506226},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6326255202293396},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.6134800910949707},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.5539495348930359},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5246713161468506},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.48761501908302307},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.467540442943573},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4662460386753082},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42039763927459717},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4176390767097473},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3242414593696594},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2454472780227661}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8114567995071411},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.8069928884506226},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6326255202293396},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.6134800910949707},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.5539495348930359},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5246713161468506},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.48761501908302307},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.467540442943573},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4662460386753082},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42039763927459717},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4176390767097473},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3242414593696594},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2454472780227661},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/icce-tw52618.2021.9603025","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-tw52618.2021.9603025","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322108","display_name":"Ministry of Science and Technology","ror":"https://ror.org/032e49973"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2285660444","https://openalex.org/W2289252105","https://openalex.org/W2565851976","https://openalex.org/W2964588512","https://openalex.org/W4240168186","https://openalex.org/W6765658884"],"related_works":["https://openalex.org/W4383723869","https://openalex.org/W4384298135","https://openalex.org/W4383722264","https://openalex.org/W2388481516","https://openalex.org/W2161302774","https://openalex.org/W1723410974","https://openalex.org/W3007688875","https://openalex.org/W2152893502","https://openalex.org/W3209669196","https://openalex.org/W2110517301"],"abstract_inverted_index":{"Sparse":[0],"compression":[1,65],"is":[2],"often":[3],"used":[4],"in":[5,54],"DNN":[6],"(deep":[7],"neural":[8],"network)":[9],"accelerators":[10],"to":[11,67],"reduce":[12,68,80],"the":[13,20,25,28,49,69,76],"data":[14,26,38,73],"traffic":[15,39],"of":[16,37,51],"convolutional":[17],"computation.":[18],"As":[19],"quantization":[21],"technique":[22],"greatly":[23],"reduces":[24],"bit-width,":[27],"indexing":[29,70,82],"cost":[30],"may":[31],"account":[32],"for":[33],"a":[34,63],"large":[35],"proportion":[36],"after":[40],"sparse":[41],"compression.":[42],"In":[43],"this":[44,59],"paper,":[45],"we":[46,61],"point":[47],"out":[48],"similarity":[50],"feature":[52],"maps":[53],"different":[55],"channels.":[56],"Based":[57],"on":[58],"observation,":[60],"propose":[62],"block-based":[64],"approach":[66,78],"cost.":[71,83],"Benchmark":[72],"show":[74],"that":[75],"proposed":[77],"can":[79],"21.1%":[81]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}