{"id":"https://openalex.org/W4402349363","doi":"https://doi.org/10.1145/3665314.3672292","title":"Systolic Array Acceleration of Spiking Neural Networks with Application-Independent Split-Time Temporal Coding","display_name":"Systolic Array Acceleration of Spiking Neural Networks with Application-Independent Split-Time Temporal Coding","publication_year":2024,"publication_date":"2024-08-05","ids":{"openalex":"https://openalex.org/W4402349363","doi":"https://doi.org/10.1145/3665314.3672292"},"language":"en","primary_location":{"id":"doi:10.1145/3665314.3672292","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3665314.3672292","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM/IEEE International Symposium on Low Power Electronics and Design","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/A5070891492","display_name":"Jeong-Jun Lee","orcid":"https://orcid.org/0000-0002-7370-889X"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jeongjun Lee","raw_affiliation_strings":["University of California, Santa Barbara, San Jose, United States"],"raw_orcid":"https://orcid.org/0000-0002-7370-889X","affiliations":[{"raw_affiliation_string":"University of California, Santa Barbara, San Jose, United States","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100432782","display_name":"Peng Li","orcid":"https://orcid.org/0000-0003-3548-4589"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peng Li","raw_affiliation_strings":["University of California, Santa Barbara, Santa Barbara, CA, United States"],"raw_orcid":"https://orcid.org/0000-0003-3548-4589","affiliations":[{"raw_affiliation_string":"University of California, Santa Barbara, Santa Barbara, CA, United States","institution_ids":["https://openalex.org/I154570441"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5070891492"],"corresponding_institution_ids":["https://openalex.org/I154570441"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12224861,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T10502","display_name":"Advanced Memory and Neural Computing","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/T10502","display_name":"Advanced Memory and Neural Computing","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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7388852834701538},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.6456841230392456},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.585842490196228},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.5777743458747864},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4721935987472534},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3856053352355957},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.34244680404663086},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30682373046875},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11076614260673523},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07235905528068542}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7388852834701538},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.6456841230392456},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.585842490196228},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.5777743458747864},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4721935987472534},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3856053352355957},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.34244680404663086},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30682373046875},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11076614260673523},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07235905528068542},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3665314.3672292","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3665314.3672292","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM/IEEE International Symposium on Low Power Electronics and Design","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.46000000834465027}],"awards":[{"id":"https://openalex.org/G2283441041","display_name":null,"funder_award_id":"1948201","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3184972853","display_name":null,"funder_award_id":"2310170","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1981276685","https://openalex.org/W2442974303","https://openalex.org/W2745933219","https://openalex.org/W2779025322","https://openalex.org/W2782046614","https://openalex.org/W2970971581","https://openalex.org/W2980200167","https://openalex.org/W3007867923","https://openalex.org/W3065747603","https://openalex.org/W3092055689","https://openalex.org/W3198948684","https://openalex.org/W4255562757"],"related_works":["https://openalex.org/W3126544799","https://openalex.org/W2390829436","https://openalex.org/W1989791859","https://openalex.org/W3104333581","https://openalex.org/W2542565870","https://openalex.org/W2565094479","https://openalex.org/W602859758","https://openalex.org/W3111828357","https://openalex.org/W3018398156","https://openalex.org/W2006439817"],"abstract_inverted_index":{"Spiking":[0],"Neural":[1],"Networks":[2],"(SNNs)":[3],"are":[4],"brain-inspired":[5],"computing":[6,33],"models":[7],"with":[8],"event-driven":[9],"based":[10],"low-power":[11],"operations":[12],"and":[13,30,45,50,53],"unique":[14],"temporal":[15,18],"dynamics.":[16],"However,":[17],"dynamics":[19],"in":[20,26,42,63],"SNNs":[21],"pose":[22],"a":[23,60],"significant":[24],"overhead":[25],"accelerating":[27],"neural":[28],"computations":[29,55],"limit":[31],"the":[32],"capabilities":[34],"of":[35],"neuromorphic":[36],"accelerators.":[37],"Especially,":[38],"unstructured":[39],"sparsity":[40],"emergent":[41],"both":[43],"space":[44],"time,":[46],"i.e.,":[47],"across":[48,56],"neurons":[49],"time":[51,57],"points,":[52],"iterative":[54],"points":[58],"cause":[59],"primary":[61],"bottleneck":[62],"data":[64],"movement.":[65]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}