{"id":"https://openalex.org/W4393372454","doi":"https://doi.org/10.1109/ieeeconf59524.2023.10477030","title":"Technology/Algorithm Co-Design for Robust Brain-Inspired Hyperdimensional In-memory Computing","display_name":"Technology/Algorithm Co-Design for Robust Brain-Inspired Hyperdimensional In-memory Computing","publication_year":2023,"publication_date":"2023-10-29","ids":{"openalex":"https://openalex.org/W4393372454","doi":"https://doi.org/10.1109/ieeeconf59524.2023.10477030"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf59524.2023.10477030","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ieeeconf59524.2023.10477030","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 57th Asilomar Conference on Signals, Systems, and Computers","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/A5064095385","display_name":"Paul R. Gen\u00dfler","orcid":"https://orcid.org/0000-0002-7175-7284"},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Paul R. Genssler","raw_affiliation_strings":["University of Stuttgart"],"affiliations":[{"raw_affiliation_string":"University of Stuttgart","institution_ids":["https://openalex.org/I100066346"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059133190","display_name":"Hussam Amrouch","orcid":"https://orcid.org/0000-0002-5649-3102"},"institutions":[{"id":"https://openalex.org/I4391767788","display_name":"Institute of Robotics","ror":"https://ror.org/002cfhw56","country_code":null,"type":"facility","lineage":["https://openalex.org/I24768866","https://openalex.org/I4391767788"]},{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]},{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hussam Amrouch","raw_affiliation_strings":["University of Stuttgart","Technical University of Munich","Munich Institute of Robotics and Machine Intelligence"],"affiliations":[{"raw_affiliation_string":"University of Stuttgart","institution_ids":["https://openalex.org/I100066346"]},{"raw_affiliation_string":"Technical University of Munich","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Munich Institute of Robotics and Machine Intelligence","institution_ids":["https://openalex.org/I4391767788"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5064095385"],"corresponding_institution_ids":["https://openalex.org/I100066346"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21083963,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"280","last_page":"280"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.995199978351593,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.995199978351593,"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9934999942779541,"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":0.9921000003814697,"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":0.7094039916992188},{"id":"https://openalex.org/keywords/algorithm-design","display_name":"Algorithm design","score":0.46334773302078247},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39197447896003723},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.34163376688957214}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7094039916992188},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.46334773302078247},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39197447896003723},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.34163376688957214}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieeeconf59524.2023.10477030","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ieeeconf59524.2023.10477030","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 57th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2070862086","https://openalex.org/W4212770221","https://openalex.org/W4212816501","https://openalex.org/W4285820588","https://openalex.org/W4308644003","https://openalex.org/W4321608116"],"related_works":["https://openalex.org/W2393888177","https://openalex.org/W2544423928","https://openalex.org/W2967268719","https://openalex.org/W2115794623","https://openalex.org/W3115392711","https://openalex.org/W2360264381","https://openalex.org/W2067173559","https://openalex.org/W1613730747","https://openalex.org/W2541389358","https://openalex.org/W4318948887"],"abstract_inverted_index":{"Semiconductor":[0],"technology":[1,19,43,50,167],"scaling":[2],"is":[3,47,64,84,161],"reaching":[4],"its":[5],"limits.":[6],"At":[7],"2":[8],"nm,":[9],"a":[10,14,66,108],"transistor":[11],"comprises":[12],"only":[13],"few":[15],"atoms,":[16],"making":[17],"these":[18],"nodes":[20],"susceptible":[21],"to":[22,56,111],"variation":[23],"and":[24,32,78,119,142,172],"defects.":[25],"However,":[26],"current":[27],"algorithms":[28,53],"rely":[29],"on":[30],"robust":[31],"accurate":[33],"hardware.":[34],"Regaining":[35],"this":[36],"required":[37],"robustness":[38,83],"decreases":[39],"the":[40,49,52,98,117,131,135,154,166,170],"gains":[41],"from":[42],"scaling.":[44],"Therefore,":[45],"it":[46],"not":[48],"but":[51,138,152],"that":[54,72],"have":[55],"become":[57],"more":[58,140],"robust.":[59],"Brain-inspired":[60],"hyperdimensional":[61],"computing":[62,105],"(HDC)":[63],"such":[65,125],"machine":[67],"learning":[68],"algorithm":[69,171],"[1],":[70],"[2]":[71],"can":[73],"tolerate":[74],"errors":[75],"in":[76,92],"memory":[77,95],"computation":[79],"[3],":[80],"[4].":[81],"The":[82],"achieved":[85],"by":[86],"utilizing":[87],"inherently":[88],"redundant":[89],"vectors,":[90],"which,":[91],"turn,":[93],"increase":[94],"consumption,":[96],"challenging":[97],"traditional":[99],"von":[100],"Neumann":[101],"architecture":[102],"[5].":[103],"In-memory":[104],"architectures":[106],"are":[107],"promising":[109],"solution":[110],"reduce":[112,149],"energy-intensive":[113],"data":[114],"transfers":[115],"between":[116],"CPU":[118],"off-chip":[120],"memory.":[121],"Several":[122],"tradeoffs":[123],"arise,":[124],"as":[126],"an":[127],"increasing":[128],"capacity":[129],"improving":[130],"inference":[132,155],"accuracy":[133],"of":[134],"HDC":[136],"model":[137],"requiring":[139],"energy":[141,150],"chip":[143],"area.":[144],"Other":[145],"in-memory":[146],"design":[147,159],"decision":[148,164],"consumption":[151],"also":[153],"accuracy.":[156],"A":[157],"complex":[158],"space":[160],"created":[162],"where":[163],"at":[165],"level":[168],"impact":[169],"vice":[173],"versa":[174],"[6].":[175]},"counts_by_year":[],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}
