{"id":"https://openalex.org/W6959794987","doi":"https://doi.org/10.1109/icrc64395.2024.10936997","title":"PRACO: A Photonic Residue-Number Architecture for Collective Operations","display_name":"PRACO: A Photonic Residue-Number Architecture for Collective Operations","publication_year":2024,"publication_date":"2024-12-16","ids":{"openalex":"https://openalex.org/W6959794987","doi":"https://doi.org/10.1109/icrc64395.2024.10936997"},"language":"en","primary_location":{"id":"doi:10.1109/icrc64395.2024.10936997","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icrc64395.2024.10936997","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 Rebooting Computing (ICRC)","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":null,"display_name":"Jiaxin Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiaxin Peng","raw_affiliation_strings":["The George Washington University,Department of Electrical and Computer Engineering,Washington,D.C.,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The George Washington University,Department of Electrical and Computer Engineering,Washington,D.C.,USA","institution_ids":["https://openalex.org/I193531525"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiaoxuan Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaoxuan Ma","raw_affiliation_strings":["The George Washington University,Department of Electrical and Computer Engineering,Washington,D.C.,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The George Washington University,Department of Electrical and Computer Engineering,Washington,D.C.,USA","institution_ids":["https://openalex.org/I193531525"]}]},{"author_position":"last","author":{"id":null,"display_name":"Tarek El-Ghazawi","orcid":null},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tarek El-Ghazawi","raw_affiliation_strings":["The George Washington University,Department of Electrical and Computer Engineering,Washington,D.C.,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The George Washington University,Department of Electrical and Computer Engineering,Washington,D.C.,USA","institution_ids":["https://openalex.org/I193531525"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I193531525"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.38675502,"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":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.47429999709129333,"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":0.47429999709129333,"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/T10299","display_name":"Photonic and Optical Devices","score":0.1671999990940094,"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/T10232","display_name":"Optical Network Technologies","score":0.09560000151395798,"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/photonics","display_name":"Photonics","score":0.6218000054359436},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.5932999849319458},{"id":"https://openalex.org/keywords/synchronization","display_name":"Synchronization (alternating current)","score":0.5654000043869019},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5300999879837036},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.451200008392334},{"id":"https://openalex.org/keywords/multi-core-processor","display_name":"Multi-core processor","score":0.39640000462532043},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.3644999861717224},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.35199999809265137},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.3495999872684479}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7038999795913696},{"id":"https://openalex.org/C20788544","wikidata":"https://www.wikidata.org/wiki/Q467054","display_name":"Photonics","level":2,"score":0.6218000054359436},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.5932999849319458},{"id":"https://openalex.org/C2778562939","wikidata":"https://www.wikidata.org/wiki/Q1298791","display_name":"Synchronization (alternating current)","level":3,"score":0.5654000043869019},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5300999879837036},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.451200008392334},{"id":"https://openalex.org/C78766204","wikidata":"https://www.wikidata.org/wiki/Q555032","display_name":"Multi-core processor","level":2,"score":0.39640000462532043},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.3644999861717224},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.35199999809265137},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.35120001435279846},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.3495999872684479},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.3463999927043915},{"id":"https://openalex.org/C22799297","wikidata":"https://www.wikidata.org/wiki/Q523846","display_name":"Photonic integrated circuit","level":3,"score":0.33410000801086426},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3249000012874603},{"id":"https://openalex.org/C557945733","wikidata":"https://www.wikidata.org/wiki/Q389772","display_name":"Data transmission","level":2,"score":0.320499986410141},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.3190000057220459},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3116999864578247},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.3041999936103821},{"id":"https://openalex.org/C98025372","wikidata":"https://www.wikidata.org/wiki/Q477538","display_name":"Systems architecture","level":3,"score":0.29280000925064087},{"id":"https://openalex.org/C101336846","wikidata":"https://www.wikidata.org/wiki/Q17105111","display_name":"Optical switch","level":2,"score":0.2915000021457672},{"id":"https://openalex.org/C165005293","wikidata":"https://www.wikidata.org/wiki/Q1074500","display_name":"Chip","level":2,"score":0.28439998626708984},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.2815000116825104},{"id":"https://openalex.org/C46637626","wikidata":"https://www.wikidata.org/wiki/Q6693015","display_name":"Low latency (capital markets)","level":2,"score":0.2759999930858612},{"id":"https://openalex.org/C111097370","wikidata":"https://www.wikidata.org/wiki/Q10969923","display_name":"Synchronization networks","level":4,"score":0.2734000086784363},{"id":"https://openalex.org/C50897621","wikidata":"https://www.wikidata.org/wiki/Q2665508","display_name":"Hybrid system","level":2,"score":0.2612999975681305},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.25920000672340393},{"id":"https://openalex.org/C118993495","wikidata":"https://www.wikidata.org/wiki/Q5042828","display_name":"Electrical efficiency","level":3,"score":0.25920000672340393},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.2533999979496002}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icrc64395.2024.10936997","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icrc64395.2024.10936997","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 Rebooting Computing (ICRC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9089639186859131,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320338279","display_name":"Air Force Office of Scientific Research","ror":"https://ror.org/011e9bt93"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1965960902","https://openalex.org/W1968188490","https://openalex.org/W1978933650","https://openalex.org/W1985818188","https://openalex.org/W1991172468","https://openalex.org/W2002571766","https://openalex.org/W2025236408","https://openalex.org/W2051971152","https://openalex.org/W2057332538","https://openalex.org/W2061388644","https://openalex.org/W2087861819","https://openalex.org/W2106223839","https://openalex.org/W2116036846","https://openalex.org/W2118231264","https://openalex.org/W2164945803","https://openalex.org/W2216869242","https://openalex.org/W2527231362","https://openalex.org/W2595633882","https://openalex.org/W2604553456","https://openalex.org/W2746592520","https://openalex.org/W2747352312","https://openalex.org/W2769986458","https://openalex.org/W2803438593","https://openalex.org/W2808999358","https://openalex.org/W2899266172","https://openalex.org/W2901668507","https://openalex.org/W2906725401","https://openalex.org/W2955331902","https://openalex.org/W2991046535","https://openalex.org/W3013686475","https://openalex.org/W3035792034","https://openalex.org/W3043522163","https://openalex.org/W3048323674","https://openalex.org/W3048442215","https://openalex.org/W3188706325","https://openalex.org/W3190806564","https://openalex.org/W4200246580","https://openalex.org/W4280564961","https://openalex.org/W4286110990","https://openalex.org/W4376481196","https://openalex.org/W4377008345","https://openalex.org/W6763300512","https://openalex.org/W6989437528"],"related_works":[],"abstract_inverted_index":{"Collective":[0,95],"operations":[1],"that":[2,165],"involve":[3],"multiple":[4],"or":[5],"all":[6],"processes/threads":[7],"within":[8],"a":[9,90,99,180],"parallel":[10,18],"program":[11],"are":[12],"critical":[13],"in":[14,114,183],"multicore":[15],"chips":[16],"and":[17,40,57,66,81,110,132,136],"systems,":[19],"particularly":[20],"for":[21,74,84,94,122,175],"data-intensive":[22],"applications.":[23],"However,":[24],"many":[25],"existing":[26],"electrical":[27,159],"network":[28,101,141],"systems":[29],"struggle":[30],"to":[31,37,48,53,106,157,169],"efficiently":[32],"support":[33],"these":[34],"operations,":[35,177],"leading":[36],"significant":[38,181],"overhead":[39],"reduced":[41],"performance.":[42],"Optical":[43],"solutions":[44],"have":[45],"been":[46],"proposed":[47],"address":[49],"the":[50,61,82,103,115,140],"challenges":[51],"due":[52],"their":[54,78],"high-speed":[55,143],"transmission":[56],"low-power":[58],"consumption.":[59,138,185],"Moreover,":[60,117],"synergy":[62],"between":[63,150],"photonic":[64,100],"technologies":[65],"Residue":[67],"Number":[68],"System":[69],"offers":[70],"an":[71,158,170],"efficient":[72],"alternative":[73],"computing":[75],"because":[76],"of":[77,172],"high":[79],"parallelism":[80],"opportunity":[83],"compute-in-network":[85,119],"capabilities.Here,":[86],"we":[87],"propose":[88],"PRACO,":[89],"Photonic":[91],"Residue-Number":[92],"Architecture":[93],"Operations.":[96],"It":[97],"establishes":[98],"at":[102],"chip":[104],"level":[105],"accelerate":[107],"communication,":[108],"computation,":[109],"synchronization":[111,144],"among":[112],"multi-cores":[113],"system.":[116],"its":[118],"capability":[120],"allows":[121,147],"performing":[123],"computations":[124],"during":[125],"data":[126,130],"transmission,":[127],"which":[128,146],"minimizes":[129],"movement":[131],"further":[133],"reduces":[134],"latency":[135],"power":[137],"Furthermore,":[139],"enables":[142],"barriers,":[145],"faster":[148],"coordination":[149],"cores,":[151],"improving":[152],"overall":[153],"system":[154],"efficiency.":[155],"Compared":[156],"network,":[160],"our":[161],"simulation":[162],"results":[163],"show":[164],"PRACO":[166],"achieves":[167],"up":[168],"order":[171],"magnitude":[173],"speedup":[174],"collective":[176],"along":[178],"with":[179],"decrease":[182],"energy":[184]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
