{"id":"https://openalex.org/W7163539738","doi":"https://doi.org/10.23919/date69613.2026.11539300","title":"PICoSNN: Partially Incoherent Configurable Optical Computing Architecture for SNN Acceleration","display_name":"PICoSNN: Partially Incoherent Configurable Optical Computing Architecture for SNN Acceleration","publication_year":2026,"publication_date":"2026-04-20","ids":{"openalex":"https://openalex.org/W7163539738","doi":"https://doi.org/10.23919/date69613.2026.11539300"},"language":null,"primary_location":{"id":"doi:10.23919/date69613.2026.11539300","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date69613.2026.11539300","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 Design, Automation &amp;amp; Test in Europe Conference (DATE)","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/A5116907275","display_name":"Bowen Duan","orcid":"https://orcid.org/0009-0004-9085-5025"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bowen Duan","raw_affiliation_strings":["Tsinghua University,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103138440","display_name":"Zhenhua Zhu","orcid":"https://orcid.org/0009-0007-9259-7180"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenhua Zhu","raw_affiliation_strings":["Tsinghua University,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137854415","display_name":"Zhengyang Duan","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengyang Duan","raw_affiliation_strings":["Tsinghua University,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137857962","display_name":"Huazhong Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huazhong Yang","raw_affiliation_strings":["Tsinghua University,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112671929","display_name":"Y D Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I4210096887","display_name":"HKUST Shenzhen Research Institute","ror":"https://ror.org/00sz56h79","country_code":"CN","type":"facility","lineage":["https://openalex.org/I200769079","https://openalex.org/I20231570","https://openalex.org/I4210096887","https://openalex.org/I4210147811"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Yuan Xie","raw_affiliation_strings":["HKUST,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HKUST,China","institution_ids":["https://openalex.org/I4210096887","https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5137843696","display_name":"Yu Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Wang","raw_affiliation_strings":["Tsinghua University,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.6384999752044678,"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"}},"topics":[{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.6384999752044678,"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/T10232","display_name":"Optical Network Technologies","score":0.08889999985694885,"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/T10299","display_name":"Photonic and Optical Devices","score":0.07750000059604645,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.6165000200271606},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.414000004529953},{"id":"https://openalex.org/keywords/systems-architecture","display_name":"Systems architecture","score":0.3237999975681305},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.2703999876976013},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.2614000141620636}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6554999947547913},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.6165000200271606},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.414000004529953},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.32820001244544983},{"id":"https://openalex.org/C98025372","wikidata":"https://www.wikidata.org/wiki/Q477538","display_name":"Systems architecture","level":3,"score":0.3237999975681305},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.29670000076293945},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.290800005197525},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.28999999165534973},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.2784000039100647},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2703999876976013},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2614000141620636},{"id":"https://openalex.org/C148204187","wikidata":"https://www.wikidata.org/wiki/Q176541","display_name":"Optical computing","level":2,"score":0.25}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/date69613.2026.11539300","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date69613.2026.11539300","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 Design, Automation &amp;amp; Test in Europe Conference (DATE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6998381018638611,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2008287963","https://openalex.org/W2021379807","https://openalex.org/W2044514597","https://openalex.org/W2048422869","https://openalex.org/W2108598243","https://openalex.org/W2127712540","https://openalex.org/W2289252105","https://openalex.org/W2588191434","https://openalex.org/W2619510810","https://openalex.org/W2739588406","https://openalex.org/W2752849906","https://openalex.org/W2798878556","https://openalex.org/W2919115771","https://openalex.org/W2944119451","https://openalex.org/W2981341988","https://openalex.org/W3042725081","https://openalex.org/W3174630792","https://openalex.org/W3213945219","https://openalex.org/W4213428796","https://openalex.org/W4280536985","https://openalex.org/W4308339796","https://openalex.org/W4385245566","https://openalex.org/W4392450026","https://openalex.org/W4393407284","https://openalex.org/W4401171836","https://openalex.org/W4402071754","https://openalex.org/W4402694963","https://openalex.org/W4409248468","https://openalex.org/W4411486490"],"related_works":[],"abstract_inverted_index":{"Optical":[0,81],"computing":[1,70,112],"is":[2],"becoming":[3],"a":[4],"promising":[5],"solution":[6],"to":[7,51,63,110,139,153,163],"meet":[8],"the":[9,49,57,65,77],"growing":[10],"computational":[11],"demands":[12],"of":[13,68,107],"increasingly":[14],"large-scale":[15],"deep":[16],"neural":[17],"networks":[18],"(DNNs).":[19],"However,":[20],"high":[21],"power":[22],"consumption":[23,161],"from":[24],"analog-to-digital":[25],"(ADC)":[26],"and":[27,46,71,104,157,173],"digital-to-analog":[28],"(DAC)":[29],"conversions":[30],"poses":[31],"significant":[32],"challenges":[33],"for":[34,59,84],"optical":[35,69,97,111,121],"computing.":[36],"Spiking":[37,137],"Neural":[38],"Networks":[39],"(SNNs),":[40],"with":[41,120,143],"their":[42],"binary":[43],"spike-based":[44,72],"input":[45],"output,":[47],"show":[48,148],"potential":[50],"address":[52,89],"this":[53,74],"issue":[54],"by":[55],"reducing":[56],"need":[58],"high-precision":[60],"DAC/ADC.In":[61],"order":[62],"exploit":[64],"complementary":[66],"nature":[67],"processing,":[73],"paper":[75],"proposes":[76],"Partially":[78],"Incoherent":[79],"Configurable":[80],"Computing":[82],"Architecture":[83],"SNN":[85],"Acceleration":[86],"(PICoSNN).":[87],"We":[88,114],"three":[90],"critical":[91],"challenges:":[92],"phase":[93],"errors":[94],"in":[95,101],"coherent":[96],"computing,":[98],"limited":[99],"configurability":[100],"weight-stationary":[102],"architectures,":[103],"inefficient":[105],"mapping":[106],"general":[108],"SNNs":[109],"hardware.":[113],"integrate":[115],"partially":[116],"incoherent":[117],"tensor":[118],"cores":[119],"leaky":[122],"integrate-and-fire":[123],"neurons,":[124],"minimizing":[125],"ADC/DAC":[126],"overhead":[127],"while":[128,166],"supporting":[129],"dynamic":[130],"weight":[131],"mapping.":[132],"Further,":[133],"we":[134],"propose":[135],"KV":[136],"Self-Attention":[138],"enable":[140],"efficient":[141],"attention":[142],"1-bit":[144],"multiplications.":[145],"Experimental":[146],"results":[147],"that":[149],"PICoSNN":[150],"achieves":[151],"up":[152],"70.54\u00d7":[154],"higher":[155],"throughput":[156,170],"8.13\u00d7":[158],"lower":[159],"energy":[160,176],"compared":[162],"ASIC":[164],"implementations,":[165],"delivering":[167],"15.46\u00d7":[168],"better":[169,175],"per":[171,178],"area":[172,179],"17.67\u00d7":[174],"efficiency":[177],"than":[180],"state-of-the-art":[181],"photonic":[182],"accelerators.":[183]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-06-05T00:00:00"}
