iBet uBet web content aggregator. Adding the entire web to your favor.
iBet uBet web content aggregator. Adding the entire web to your favor.



Link to original content: https://api.openalex.org/works/doi:10.1109/LCA.2022.3233832
{"id":"https://openalex.org/W4313591056","doi":"https://doi.org/10.1109/lca.2022.3233832","title":"HAMMER: Hardware-Friendly Approximate Computing for Self-Attention With Mean-Redistribution And Linearization","display_name":"HAMMER: Hardware-Friendly Approximate Computing for Self-Attention With Mean-Redistribution And Linearization","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4313591056","doi":"https://doi.org/10.1109/lca.2022.3233832"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/lca.2022.3233832","pdf_url":null,"source":{"id":"https://openalex.org/S17643076","display_name":"IEEE Computer Architecture Letters","issn_l":"1556-6056","issn":["1556-6056","1556-6064","2473-2575"],"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":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5061941075","display_name":"Seonho Lee","orcid":"https://orcid.org/0000-0002-0035-1359"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seonho Lee","raw_affiliation_strings":["KAIST, Daejeon, South Korea"],"affiliations":[{"raw_affiliation_string":"KAIST, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081950817","display_name":"Ranggi Hwang","orcid":"https://orcid.org/0000-0003-2343-586X"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ranggi Hwang","raw_affiliation_strings":["KAIST, Daejeon, South Korea"],"affiliations":[{"raw_affiliation_string":"KAIST, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037553165","display_name":"Jongse Park","orcid":"https://orcid.org/0000-0002-6629-449X"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jongse Park","raw_affiliation_strings":["KAIST, Daejeon, South Korea"],"affiliations":[{"raw_affiliation_string":"KAIST, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091648103","display_name":"Minsoo Rhu","orcid":"https://orcid.org/0000-0003-3303-8681"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Minsoo Rhu","raw_affiliation_strings":["KAIST, Daejeon, South Korea"],"affiliations":[{"raw_affiliation_string":"KAIST, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":68},"biblio":{"volume":"22","issue":"1","first_page":"13","last_page":"16"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12808","display_name":"Ferroelectric Devices for Low-Power Nanoscale Applications","score":0.9996,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12808","display_name":"Ferroelectric Devices for Low-Power Nanoscale Applications","score":0.9996,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10502","display_name":"Memristive Devices for Neuromorphic Computing","score":0.997,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Deep Learning in Computer Vision and Image Recognition","score":0.9959,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hammer","display_name":"Hammer","score":0.7235665},{"id":"https://openalex.org/keywords/linearization","display_name":"Linearization","score":0.6076575},{"id":"https://openalex.org/keywords/memory-applications","display_name":"Memory Applications","score":0.554302},{"id":"https://openalex.org/keywords/brain-inspired-computing","display_name":"Brain-inspired Computing","score":0.549088},{"id":"https://openalex.org/keywords/neuromorphic-computing","display_name":"Neuromorphic Computing","score":0.528806},{"id":"https://openalex.org/keywords/neural-network-architectures","display_name":"Neural Network Architectures","score":0.517819},{"id":"https://openalex.org/keywords/hyperdimensional-computing","display_name":"Hyperdimensional Computing","score":0.508095},{"id":"https://openalex.org/keywords/factoring","display_name":"Factoring","score":0.48559374},{"id":"https://openalex.org/keywords/redistribution","display_name":"Redistribution (election)","score":0.46347296},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.4239976}],"concepts":[{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.8138889},{"id":"https://openalex.org/C13655849","wikidata":"https://www.wikidata.org/wiki/Q25294","display_name":"Hammer","level":2,"score":0.7235665},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6694516},{"id":"https://openalex.org/C11210021","wikidata":"https://www.wikidata.org/wiki/Q1520713","display_name":"Linearization","level":3,"score":0.6076575},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5819849},{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.5741152},{"id":"https://openalex.org/C177225278","wikidata":"https://www.wikidata.org/wiki/Q192674","display_name":"Factoring","level":2,"score":0.48559374},{"id":"https://openalex.org/C74080474","wikidata":"https://www.wikidata.org/wiki/Q7305975","display_name":"Redistribution (election)","level":3,"score":0.46347296},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.4239976},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.39758706},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.37651053},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35400265},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3278293},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.2856934},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.19464526},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18003342},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10801205},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.0},{"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/lca.2022.3233832","pdf_url":null,"source":{"id":"https://openalex.org/S17643076","display_name":"IEEE Computer Architecture Letters","issn_l":"1556-6056","issn":["1556-6056","1556-6064","2473-2575"],"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":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.89,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":12,"referenced_works":["https://openalex.org/W2896457183","https://openalex.org/W2963323070","https://openalex.org/W2963748441","https://openalex.org/W2965373594","https://openalex.org/W2996428491","https://openalex.org/W3017024317","https://openalex.org/W3159481202","https://openalex.org/W3159727696","https://openalex.org/W3189877953","https://openalex.org/W3206453033","https://openalex.org/W4225727438","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W2997214518","https://openalex.org/W2963853167","https://openalex.org/W2947911821","https://openalex.org/W2944757884","https://openalex.org/W2393473966","https://openalex.org/W2377710379","https://openalex.org/W2366592368","https://openalex.org/W2260256814","https://openalex.org/W2164382479","https://openalex.org/W2058965144"],"abstract_inverted_index":{"The":[0],"recent":[1],"advancement":[2],"of":[3,13,21,79,111],"the":[4,11,14,27,38,42,50,58,109],"natural":[5],"language":[6],"processing":[7],"(NLP)":[8],"models":[9,25],"is":[10,35],"result":[12],"ever-increasing":[15],"model":[16,30,51],"size":[17,52],"and":[18,86,104,129],"datasets.":[19],"Most":[20],"these":[22],"modern":[23],"NLP":[24,63],"adopt":[26],"Transformer":[28],"based":[29],"architecture,":[31],"whose":[32],"main":[33,59],"bottleneck":[34],"exhibited":[36],"in":[37],"self-attention":[39,46,112,121],"mechanism.":[40],"As":[41],"computation":[43],"required":[44],"for":[45,61,100],"increases":[47,108],"rapidly":[48],"as":[49],"gets":[53],"larger,":[54],"self-attentions":[55,101],"have":[56],"been":[57],"challenge":[60],"deploying":[62],"models.":[64],"Consequently,":[65],"there":[66],"are":[67],"several":[68],"prior":[69],"works":[70],"which":[71,106],"sought":[72],"to":[73,118],"address":[74],"this":[75,91],"bottleneck,":[76],"but":[77],"most":[78],"them":[80],"suffer":[81],"from":[82],"significant":[83],"design":[84],"overheads":[85],"additional":[87],"training":[88],"requirements.":[89],"In":[90],"work,":[92],"we":[93],"propose":[94],"HAMMER,":[95],"hardware-friendly":[96],"approximate":[97],"computing":[98],"solution":[99],"employing":[102],"mean-redistribution":[103],"linearization,":[105],"effectively":[107],"performance":[110,125],"mechanism":[113],"with":[114],"low":[115],"overheads.":[116],"Compared":[117],"previous":[119],"state-of-the-art":[120],"accelerators,":[122],"HAMMER":[123],"improves":[124],"by":[126,132],"$1.2-1.6\\times$":[128],"energy":[130],"efficiency":[131],"notation=\"LaTeX\">$1.2-1.5\\times$":[134],".":[135]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4313591056","counts_by_year":[],"updated_date":"2024-12-04T04:07:09.873709","created_date":"2023-01-06"}