{"id":"https://openalex.org/W4410584032","doi":"https://doi.org/10.23919/date64628.2025.10993223","title":"HyperDyn: Dynamic Dimensional Masking for Efficient Hyper-Dimensional Computing","display_name":"HyperDyn: Dynamic Dimensional Masking for Efficient Hyper-Dimensional Computing","publication_year":2025,"publication_date":"2025-03-31","ids":{"openalex":"https://openalex.org/W4410584032","doi":"https://doi.org/10.23919/date64628.2025.10993223"},"language":"en","primary_location":{"id":"doi:10.23919/date64628.2025.10993223","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date64628.2025.10993223","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Design, Automation & Test in Europe Conference (DATE)","raw_type":"proceedings-article"},"type":"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/A5017670541","display_name":"Fangxin Liu","orcid":"https://orcid.org/0000-0002-8769-293X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fangxin Liu","raw_affiliation_strings":["Shanghai Jiao Tong University"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101399528","display_name":"Haoming Li","orcid":"https://orcid.org/0000-0002-2939-6534"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haomin Li","raw_affiliation_strings":["Shanghai Jiao Tong University"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107269495","display_name":"Zongwu Wang","orcid":"https://orcid.org/0009-0003-2157-4927"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongwu Wang","raw_affiliation_strings":["Shanghai Jiao Tong University"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066692868","display_name":"Dongxu Lyu","orcid":"https://orcid.org/0000-0001-6826-2670"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongxu Lyu","raw_affiliation_strings":["Shanghai Jiao Tong University"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100392353","display_name":"Li Jiang","orcid":"https://orcid.org/0000-0001-7058-6957"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Jiang","raw_affiliation_strings":["Shanghai Jiao Tong University"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5017670541"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":2.6209,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.89744588,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10888","display_name":"Augmented Reality Applications","score":0.9818000197410583,"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/T10888","display_name":"Augmented Reality Applications","score":0.9818000197410583,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9776999950408936,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9754999876022339,"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":0.7326492071151733},{"id":"https://openalex.org/keywords/masking","display_name":"Masking (illustration)","score":0.6838092803955078}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7326492071151733},{"id":"https://openalex.org/C2777402240","wikidata":"https://www.wikidata.org/wiki/Q6783436","display_name":"Masking (illustration)","level":2,"score":0.6838092803955078},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/date64628.2025.10993223","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date64628.2025.10993223","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Design, Automation & Test in Europe Conference (DATE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W2070862086","https://openalex.org/W2554538030","https://openalex.org/W2583857261","https://openalex.org/W2771100829","https://openalex.org/W2951498229","https://openalex.org/W2971739303","https://openalex.org/W2990838824","https://openalex.org/W3021560762","https://openalex.org/W3032819016","https://openalex.org/W3146047091","https://openalex.org/W3158860039","https://openalex.org/W3168652588","https://openalex.org/W3193529729","https://openalex.org/W3204647170","https://openalex.org/W3208074141","https://openalex.org/W4200449874","https://openalex.org/W4232286453","https://openalex.org/W4280579492","https://openalex.org/W4281961012","https://openalex.org/W4284682915","https://openalex.org/W4361987893","https://openalex.org/W4386763504","https://openalex.org/W4388052883","https://openalex.org/W4389166776","https://openalex.org/W4393140900","https://openalex.org/W4393140969","https://openalex.org/W4393168986","https://openalex.org/W4393406920","https://openalex.org/W4399767770","https://openalex.org/W4404954477","https://openalex.org/W4404954642","https://openalex.org/W4408151524","https://openalex.org/W6687424872"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Hyper-dimensional":[0],"computing":[1,6],"(HDC)":[2],"is":[3],"a":[4,28,111,133],"bio-inspired":[5],"paradigm":[7],"that":[8,137,159],"mimics":[9],"cognitive":[10],"tasks":[11],"by":[12],"encoding":[13],"data":[14],"into":[15],"high-dimensional":[16],"vectors":[17,55],"and":[18,56,78,120,155,166],"employing":[19],"non-complex":[20],"learning":[21],"techniques.":[22],"However,":[23],"existing":[24],"HDC":[25],"solutions":[26],"face":[27],"major":[29],"challenge":[30],"hindering":[31],"their":[32],"deployment":[33],"on":[34,97,149],"low-power":[35],"embedded":[36],"devices:":[37],"the":[38,51,87,93,98,101,104,140,143,156],"costly":[39],"associative":[40,94,130],"search":[41,131],"module,":[42],"especially":[43],"in":[44,92,175],"high-precision":[45],"computations.":[46],"This":[47],"module":[48],"involves":[49],"calculating":[50],"distance":[52],"between":[53],"class":[54],"query":[57],"vectors,":[58],"as":[59,61],"well":[60],"sorting":[62],"distances.":[63],"In":[64,107],"this":[65],"paper,":[66],"we":[67,109],"present":[68],"HyperDyn,":[69],"an":[70],"efficient":[71,79,128],"dynamic":[72,112,129],"inference":[73],"framework":[74,83],"designed":[75],"for":[76,117],"accurate":[77,121],"hyper-dimensional":[80],"computing.":[81],"Our":[82],"first":[84],"offline":[85],"analyzes":[86],"importance":[88,114],"of":[89,100,142],"different":[90,153],"dimensions":[91,102],"memory":[95],"based":[96],"contributions":[99],"to":[103,139],"classification":[105],"accuracy.":[106,176],"addition,":[108],"introduce":[110],"dimensional":[113],"scaling":[115],"mechanism":[116,136],"more":[118],"flexible":[119],"dimension":[122,134],"contribution":[123],"judgments.":[124],"Finally,":[125],"HyperDyn":[126,148,160],"achieves":[127],"through":[132],"masking":[135],"adapts":[138],"characteristics":[141],"input":[144],"sample.":[145],"We":[146],"evaluate":[147],"datasets":[150],"from":[151],"three":[152],"fields":[154],"results":[157],"show":[158],"can":[161],"achieve":[162],"7.65":[163],"\u00d7":[164],"speedup":[165],"58%":[167],"energy":[168],"savings,":[169],"with":[170],"less":[171],"than":[172],"0.2%":[173],"loss":[174]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}