{"id":"https://openalex.org/W4392248363","doi":"https://doi.org/10.1109/icce59016.2024.10444298","title":"A Strategy to Maximize the Utilization of AI Neural Processors on an Automotive Computing Platform","display_name":"A Strategy to Maximize the Utilization of AI Neural Processors on an Automotive Computing Platform","publication_year":2024,"publication_date":"2024-01-06","ids":{"openalex":"https://openalex.org/W4392248363","doi":"https://doi.org/10.1109/icce59016.2024.10444298"},"language":"en","primary_location":{"id":"doi:10.1109/icce59016.2024.10444298","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce59016.2024.10444298","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Consumer Electronics (ICCE)","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/A5102651280","display_name":"Kiwon Sohn","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131320","display_name":"LG (South Korea)","ror":"https://ror.org/03ddh2c27","country_code":"KR","type":"company","lineage":["https://openalex.org/I4210131320"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Kiwon Sohn","raw_affiliation_strings":["Smart Mobility Lab, LG Electronics,Seoul,South Korea","Smart Mobility Lab, LG Electronics, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Smart Mobility Lab, LG Electronics,Seoul,South Korea","institution_ids":["https://openalex.org/I4210131320"]},{"raw_affiliation_string":"Smart Mobility Lab, LG Electronics, Seoul, South Korea","institution_ids":["https://openalex.org/I4210131320"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109686792","display_name":"Insup Choi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131320","display_name":"LG (South Korea)","ror":"https://ror.org/03ddh2c27","country_code":"KR","type":"company","lineage":["https://openalex.org/I4210131320"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Insup Choi","raw_affiliation_strings":["Smart Mobility Lab, LG Electronics,Seoul,South Korea","Smart Mobility Lab, LG Electronics, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Smart Mobility Lab, LG Electronics,Seoul,South Korea","institution_ids":["https://openalex.org/I4210131320"]},{"raw_affiliation_string":"Smart Mobility Lab, LG Electronics, Seoul, South Korea","institution_ids":["https://openalex.org/I4210131320"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008532313","display_name":"Seongwan Kim","orcid":"https://orcid.org/0000-0002-0962-9812"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Seongwan Kim","raw_affiliation_strings":["Opt-AI Inc,Seoul,South Korea","Opt-AI Inc, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Opt-AI Inc,Seoul,South Korea","institution_ids":[]},{"raw_affiliation_string":"Opt-AI Inc, Seoul, South Korea","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100331196","display_name":"Jaeho Lee","orcid":"https://orcid.org/0000-0002-2735-0647"},"institutions":[{"id":"https://openalex.org/I4210131320","display_name":"LG (South Korea)","ror":"https://ror.org/03ddh2c27","country_code":"KR","type":"company","lineage":["https://openalex.org/I4210131320"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaeho Lee","raw_affiliation_strings":["Opt-AI Inc,Seoul,South Korea","Smart Mobility Lab, LG Electronics,Seoul,South Korea","Opt-AI Inc, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Opt-AI Inc,Seoul,South Korea","institution_ids":[]},{"raw_affiliation_string":"Smart Mobility Lab, LG Electronics,Seoul,South Korea","institution_ids":["https://openalex.org/I4210131320"]},{"raw_affiliation_string":"Opt-AI Inc, Seoul, South Korea","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104250391","display_name":"Jungyong Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131320","display_name":"LG (South Korea)","ror":"https://ror.org/03ddh2c27","country_code":"KR","type":"company","lineage":["https://openalex.org/I4210131320"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jungyong Lee","raw_affiliation_strings":["Opt-AI Inc,Seoul,South Korea","Smart Mobility Lab, LG Electronics,Seoul,South Korea","Smart Mobility Lab, LG Electronics, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Opt-AI Inc,Seoul,South Korea","institution_ids":[]},{"raw_affiliation_string":"Smart Mobility Lab, LG Electronics,Seoul,South Korea","institution_ids":["https://openalex.org/I4210131320"]},{"raw_affiliation_string":"Smart Mobility Lab, LG Electronics, Seoul, South Korea","institution_ids":["https://openalex.org/I4210131320"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073212191","display_name":"Joonghang Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131320","display_name":"LG (South Korea)","ror":"https://ror.org/03ddh2c27","country_code":"KR","type":"company","lineage":["https://openalex.org/I4210131320"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Joonghang Kim","raw_affiliation_strings":["Smart Mobility Lab, LG Electronics,Seoul,South Korea","Smart Mobility Lab, LG Electronics, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Smart Mobility Lab, LG Electronics,Seoul,South Korea","institution_ids":["https://openalex.org/I4210131320"]},{"raw_affiliation_string":"Smart Mobility Lab, LG Electronics, Seoul, South Korea","institution_ids":["https://openalex.org/I4210131320"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5102651280"],"corresponding_institution_ids":["https://openalex.org/I4210131320"],"apc_list":null,"apc_paid":null,"fwci":0.5186,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.56112813,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10933","display_name":"Real-Time Systems Scheduling","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10933","display_name":"Real-Time Systems Scheduling","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T10904","display_name":"Embedded Systems Design Techniques","score":0.9817000031471252,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/automotive-industry","display_name":"Automotive industry","score":0.7350924611091614},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7105923891067505},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5520567893981934},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36913764476776123},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17700284719467163}],"concepts":[{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.7350924611091614},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7105923891067505},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5520567893981934},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36913764476776123},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17700284719467163},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce59016.2024.10444298","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce59016.2024.10444298","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Consumer Electronics (ICCE)","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":9,"referenced_works":["https://openalex.org/W2180298277","https://openalex.org/W2605258629","https://openalex.org/W2781894252","https://openalex.org/W3096817194","https://openalex.org/W3159196909","https://openalex.org/W4226365305","https://openalex.org/W4306920798","https://openalex.org/W4366733066","https://openalex.org/W6852546007"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4382644535","https://openalex.org/W2522768275","https://openalex.org/W2352938035","https://openalex.org/W2390279801","https://openalex.org/W2351672553","https://openalex.org/W2373392303","https://openalex.org/W2765894405"],"abstract_inverted_index":{"Advancements":[0],"in":[1,17,97],"AI":[2,42,67,124],"are":[3,19,95],"transforming":[4],"the":[5,29,41,46,54,58,63,66,76,83,98,113,135,141,154,162,165],"automotive":[6],"industry,":[7],"creating":[8,108],"opportunities":[9],"for":[10,39,107,112],"AI-powered":[11],"software":[12],"and":[13,48,74,138],"hardware.":[14],"AI-driven":[15],"features":[16],"automobiles":[18],"increasingly":[20],"embraced":[21],"due":[22],"to":[23,26,85,119],"their":[24],"potential":[25],"significantly":[27],"improve":[28],"driving":[30],"experience.":[31],"High-performance":[32],"computing,":[33],"particularly":[34],"with":[35],"NPUs,":[36,51],"becomes":[37],"crucial":[38],"executing":[40],"features.":[43,68],"To":[44],"maximize":[45],"efficiency":[47],"utilization":[49],"of":[50,57,65,100,167],"DAIMO-NPU":[52,173],"optimizes":[53],"inference":[55,78,115],"sequence":[56],"DNN":[59],"models":[60,147],"that":[61],"form":[62],"backbones":[64],"Not":[69],"only":[70],"does":[71],"it":[72],"organize":[73],"schedule":[75,136,155],"model":[77,114],"tasks":[79,84,142],"but":[80],"also":[81],"supports":[82],"be":[86,120,158,175],"executed":[87],"on":[88],"heterogeneous":[89],"NPU":[90,169],"settings.":[91],"Three":[92],"main":[93],"components":[94],"involved":[96],"implementation":[99],"DAIMO-NPU.":[101],"The":[102,131],"schedule-table":[103],"generator":[104],"is":[105,118,126],"responsible":[106],"a":[109],"detailed":[110],"plan":[111],"tasks,":[116],"which":[117],"updated":[121],"whenever":[122],"an":[123],"feature":[125],"added,":[127],"removed,":[128],"or":[129],"upgraded.":[130],"onboard":[132],"operator":[133],"reads":[134],"table":[137,156],"carries":[139],"out":[140],"accordingly.":[143],"And,":[144],"by":[145],"dividing":[146],"into":[148,172],"smaller":[149],"segments,":[150],"while":[151],"not":[152],"mandatory,":[153],"can":[157],"further":[159],"optimized.":[160],"In":[161],"subsequent":[163],"developments,":[164],"integration":[166],"additional":[168],"hardware":[170],"properties":[171],"will":[174],"pursued.":[176]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-25T21:42:39.735039","created_date":"2025-10-10T00:00:00"}