{"id":"https://openalex.org/W4312121054","doi":"https://doi.org/10.1145/3508352.3549435","title":"Seprox","display_name":"Seprox","publication_year":2022,"publication_date":"2022-10-30","ids":{"openalex":"https://openalex.org/W4312121054","doi":"https://doi.org/10.1145/3508352.3549435"},"language":"en","primary_location":{"id":"doi:10.1145/3508352.3549435","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3508352.3549435","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3508352.3549435","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3508352.3549435","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001044510","display_name":"Aradhana Mohan Parvathy","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aradhana Mohan Parvathy","raw_affiliation_strings":["Purdue University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Purdue University","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075611664","display_name":"Sarada Krithivasan","orcid":"https://orcid.org/0000-0002-2958-1377"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sarada Krithivasan","raw_affiliation_strings":["Purdue University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Purdue University","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021284824","display_name":"Sanchari Sen","orcid":"https://orcid.org/0000-0003-0080-2882"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sanchari Sen","raw_affiliation_strings":["IBM T. J. Watson Research Center"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM T. J. Watson Research Center","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065766721","display_name":"Anand Raghunathan","orcid":"https://orcid.org/0000-0002-4624-564X"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anand Raghunathan","raw_affiliation_strings":["Purdue University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Purdue University","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9979000091552734,"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":0.9979000091552734,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9961000084877014,"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/quantization","display_name":"Quantization (signal processing)","score":0.8436520099639893},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6913500428199768},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.6707163453102112},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.5414602160453796},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.5210099220275879},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5076662302017212},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4628194272518158},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.4547710418701172},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.42561736702919006},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.41475117206573486},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3262684941291809},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2257561981678009}],"concepts":[{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.8436520099639893},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6913500428199768},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.6707163453102112},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.5414602160453796},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.5210099220275879},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5076662302017212},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4628194272518158},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.4547710418701172},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.42561736702919006},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.41475117206573486},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3262684941291809},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2257561981678009},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3508352.3549435","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3508352.3549435","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3508352.3549435","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3508352.3549435","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3508352.3549435","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3508352.3549435","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.4000000059604645,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306087","display_name":"Semiconductor Research Corporation","ror":"https://ror.org/047z4n946"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4312121054.pdf","grobid_xml":"https://content.openalex.org/works/W4312121054.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W1506342804","https://openalex.org/W2101900253","https://openalex.org/W2108598243","https://openalex.org/W2747329762","https://openalex.org/W2911491685","https://openalex.org/W2914304175","https://openalex.org/W2964051635","https://openalex.org/W2970971581","https://openalex.org/W3101100041","https://openalex.org/W3177525997","https://openalex.org/W4233429846","https://openalex.org/W4287867064","https://openalex.org/W4295312788","https://openalex.org/W4400691701","https://openalex.org/W6773900053"],"related_works":["https://openalex.org/W2468279273","https://openalex.org/W2354198838","https://openalex.org/W1989130879","https://openalex.org/W2103419012","https://openalex.org/W2988126442","https://openalex.org/W1974414866","https://openalex.org/W2057568687","https://openalex.org/W2063982682","https://openalex.org/W2338543196","https://openalex.org/W1544691147"],"abstract_inverted_index":{"Compression":[0],"techniques":[1],"such":[2],"as":[3],"quantization":[4],"and":[5,40,59,99,112],"pruning":[6,67],"are":[7,119],"indispensable":[8],"for":[9],"deploying":[10],"state-of-the-art":[11],"Deep":[12],"Neural":[13],"Networks":[14],"(DNNs)":[15],"on":[16],"resource-constrained":[17],"edge":[18],"devices.":[19],"Quantization":[20],"is":[21,77],"widely":[22],"used":[23],"in":[24,72],"practice":[25],"-":[26],"many":[27],"commercial":[28],"platforms":[29],"already":[30],"support":[31],"8-bits,":[32],"with":[33,96],"recent":[34],"trends":[35],"towards":[36],"ultra-low":[37,73],"precision":[38,74],"(4-bits":[39],"below).":[41],"Pruning,":[42],"which":[43],"increases":[44],"network":[45],"sparsity":[46,116],"(incidence":[47],"of":[48,66,87,102],"zero-valued":[49],"weights),":[50],"enables":[51],"compression":[52,64],"by":[53],"storing":[54],"only":[55],"the":[56,63,81,85,100,114],"nonzero":[57],"weights":[58],"their":[60],"indices.":[61],"Unfortunately,":[62],"benefits":[65],"deteriorate":[68],"or":[69],"even":[70],"vanish":[71],"DNNs.":[75],"This":[76],"due":[78],"to":[79,90,105],"(i)":[80],"unfavorable":[82],"tradeoff":[83],"between":[84],"number":[86,101],"bits":[88,103],"needed":[89,104],"store":[91],"a":[92],"weight":[93],"(which":[94,109],"reduces":[95],"lower":[97,115,122],"precision)":[98],"encode":[106],"an":[107],"index":[108],"remains":[110],"unchanged),":[111],"(ii)":[113],"levels":[117],"that":[118],"achievable":[120],"at":[121],"precisions.":[123]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2023-01-04T00:00:00"}