{"id":"https://openalex.org/W4404133370","doi":"https://doi.org/10.1145/3649329.3656532","title":"Bitwise Adaptive Early Termination in Hyperdimensional Computing Inference","display_name":"Bitwise Adaptive Early Termination in Hyperdimensional Computing Inference","publication_year":2024,"publication_date":"2024-06-23","ids":{"openalex":"https://openalex.org/W4404133370","doi":"https://doi.org/10.1145/3649329.3656532"},"language":"en","primary_location":{"id":"doi:10.1145/3649329.3656532","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3649329.3656532","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 61st ACM/IEEE Design Automation Conference","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/A5072807301","display_name":"Wei-Chen Chen","orcid":"https://orcid.org/0000-0002-4585-6502"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei-Chen Chen","raw_affiliation_strings":["Electrical Engineering, Stanford University, Stanford, CA, United States"],"raw_orcid":"https://orcid.org/0000-0002-4585-6502","affiliations":[{"raw_affiliation_string":"Electrical Engineering, Stanford University, Stanford, CA, United States","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059975258","display_name":"H.\u2010S. Philip Wong","orcid":"https://orcid.org/0000-0002-0096-1472"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"H.-S. Philip Wong","raw_affiliation_strings":["Electrical Engineering, Stanford University, Stanford, CA, United States"],"raw_orcid":"https://orcid.org/0000-0002-0096-1472","affiliations":[{"raw_affiliation_string":"Electrical Engineering, Stanford University, Stanford, CA, United States","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060778165","display_name":"Sara Achour","orcid":"https://orcid.org/0000-0003-3444-1544"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sara Achour","raw_affiliation_strings":["Electrical Engineering, Stanford University, Stanford, CA, United States"],"raw_orcid":"https://orcid.org/0000-0003-3444-1544","affiliations":[{"raw_affiliation_string":"Electrical Engineering, Stanford University, Stanford, CA, United States","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":1.0,"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 and Negative Capacitance Devices","score":1.0,"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":"Advanced Memory and Neural Computing","score":0.996999979019165,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9861999750137329,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7449095249176025},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5920522212982178},{"id":"https://openalex.org/keywords/bitwise-operation","display_name":"Bitwise operation","score":0.5316973924636841},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29056215286254883},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1566876769065857}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7449095249176025},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5920522212982178},{"id":"https://openalex.org/C134765980","wikidata":"https://www.wikidata.org/wiki/Q879126","display_name":"Bitwise operation","level":2,"score":0.5316973924636841},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29056215286254883},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1566876769065857}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3649329.3656532","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3649329.3656532","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 61st ACM/IEEE Design Automation Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3933089445","display_name":null,"funder_award_id":"705762","funder_id":"https://openalex.org/F4320306087","funder_display_name":"Semiconductor Research Corporation"}],"funders":[{"id":"https://openalex.org/F4320306087","display_name":"Semiconductor Research Corporation","ror":"https://ror.org/047z4n946"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2007339694","https://openalex.org/W2070862086","https://openalex.org/W2554538030","https://openalex.org/W2951498229","https://openalex.org/W2962967667","https://openalex.org/W2971739303","https://openalex.org/W3032819016","https://openalex.org/W3047701107","https://openalex.org/W3087790930","https://openalex.org/W3184049905","https://openalex.org/W3190134129","https://openalex.org/W4200449874","https://openalex.org/W4200549785","https://openalex.org/W4285821279","https://openalex.org/W4293023456","https://openalex.org/W4293025573","https://openalex.org/W4293261679","https://openalex.org/W4361987893","https://openalex.org/W4381198682","https://openalex.org/W4386603070","https://openalex.org/W6944989599"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W1594590521","https://openalex.org/W1757511069","https://openalex.org/W3148559665","https://openalex.org/W2390279801","https://openalex.org/W4206055950","https://openalex.org/W3092209506","https://openalex.org/W4390187709"],"abstract_inverted_index":{"Hyperdimensional":[0],"computing":[1],"(HDC),":[2],"a":[3,42,61,77],"powerful":[4],"paradigm":[5],"for":[6,28,76],"cognitive":[7],"tasks,":[8],"often":[9],"demands":[10],"hypervectors":[11],"of":[12,80,95,115],"high":[13],"dimensions":[14],"(e.g.,":[15],"10,000)":[16],"to":[17,44,65,99],"achieve":[18],"competitive":[19],"accuracy.":[20],"However,":[21],"processing":[22],"such":[23],"large-dimensional":[24],"data":[25],"poses":[26],"challenges":[27],"performance":[29],"and":[30],"energy":[31],"efficiency,":[32],"particularly":[33],"on":[34],"resource-constrained":[35],"devices.":[36],"In":[37,109],"this":[38],"paper,":[39],"We":[40,90,111],"present":[41],"framework":[43],"terminate":[45],"bit-serial":[46],"HDC":[47],"inference":[48],"early":[49,117],"when":[50],"sufficient":[51],"confidence":[52],"is":[53],"attained":[54],"in":[55,71],"the":[56,67,81,113],"prediction.":[57],"This":[58,73],"approach":[59],"integrates":[60],"Naive":[62],"Bayes":[63],"model":[64,82],"replace":[66],"conventional":[68],"associative":[69],"memory":[70],"HDC.":[72],"transformation":[74],"allows":[75],"probabilistic":[78],"interpretation":[79],"outputs,":[83],"steering":[84],"away":[85],"from":[86],"mere":[87],"similarity":[88],"measures.":[89],"reduce":[91],"more":[92],"than":[93],"70%":[94],"bits":[96],"that":[97],"need":[98],"be":[100],"processed":[101],"while":[102],"maintaining":[103],"comparable":[104],"accuracy":[105],"across":[106],"diverse":[107],"benchmarks.":[108],"addition,":[110],"show":[112],"adaptability":[114],"our":[116],"termination":[118],"algorithm":[119],"during":[120],"on-the-fly":[121],"learning":[122],"scenarios.":[123]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
