{"id":"https://openalex.org/W2772992092","doi":"https://doi.org/10.1109/icrc.2017.8123668","title":"Socrates-D: Multicore Architecture for On-Line Learning","display_name":"Socrates-D: Multicore Architecture for On-Line Learning","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2772992092","doi":"https://doi.org/10.1109/icrc.2017.8123668","mag":"2772992092"},"language":"en","primary_location":{"id":"doi:10.1109/icrc.2017.8123668","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icrc.2017.8123668","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 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":"https://openalex.org/A5025518911","display_name":"Yangjie Qi","orcid":"https://orcid.org/0000-0002-4210-3337"},"institutions":[{"id":"https://openalex.org/I127591826","display_name":"University of Dayton","ror":"https://ror.org/021v3qy27","country_code":"US","type":"education","lineage":["https://openalex.org/I127591826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yangjie Qi","raw_affiliation_strings":["Electrical and Computer Engineering, University of Dayton, Dayton, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, University of Dayton, Dayton, USA","institution_ids":["https://openalex.org/I127591826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103010512","display_name":"Raqibul Hasan","orcid":"https://orcid.org/0000-0001-6681-2202"},"institutions":[{"id":"https://openalex.org/I127591826","display_name":"University of Dayton","ror":"https://ror.org/021v3qy27","country_code":"US","type":"education","lineage":["https://openalex.org/I127591826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Raqibul Hasan","raw_affiliation_strings":["Electrical and Computer Engineering, University of Dayton, Dayton, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, University of Dayton, Dayton, USA","institution_ids":["https://openalex.org/I127591826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055011119","display_name":"B. Rasitha Fernando","orcid":"https://orcid.org/0000-0003-4048-7696"},"institutions":[{"id":"https://openalex.org/I127591826","display_name":"University of Dayton","ror":"https://ror.org/021v3qy27","country_code":"US","type":"education","lineage":["https://openalex.org/I127591826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rasitha Fernando","raw_affiliation_strings":["Electrical and Computer Engineering, University of Dayton, Dayton, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, University of Dayton, Dayton, USA","institution_ids":["https://openalex.org/I127591826"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104090957","display_name":"Tarek M. Taha","orcid":null},"institutions":[{"id":"https://openalex.org/I127591826","display_name":"University of Dayton","ror":"https://ror.org/021v3qy27","country_code":"US","type":"education","lineage":["https://openalex.org/I127591826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tarek Taha","raw_affiliation_strings":["Electrical and Computer Engineering, University of Dayton, Dayton, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, University of Dayton, Dayton, USA","institution_ids":["https://openalex.org/I127591826"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I127591826"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9998999834060669,"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":0.9998999834060669,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9994999766349792,"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/T10320","display_name":"Neural Networks and Applications","score":0.9975000023841858,"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":0.8361402750015259},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.6735998392105103},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.6041216254234314},{"id":"https://openalex.org/keywords/multi-core-processor","display_name":"Multi-core processor","score":0.5881856679916382},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5621800422668457},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4499106705188751},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.43350857496261597},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.43194615840911865},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41259071230888367},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.32229578495025635},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.25224190950393677},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.15981653332710266}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8361402750015259},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.6735998392105103},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.6041216254234314},{"id":"https://openalex.org/C78766204","wikidata":"https://www.wikidata.org/wiki/Q555032","display_name":"Multi-core processor","level":2,"score":0.5881856679916382},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5621800422668457},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4499106705188751},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.43350857496261597},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.43194615840911865},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41259071230888367},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.32229578495025635},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.25224190950393677},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.15981653332710266},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icrc.2017.8123668","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icrc.2017.8123668","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Rebooting Computing (ICRC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.7300000190734863,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1604973310","https://openalex.org/W2023745373","https://openalex.org/W2048266589","https://openalex.org/W2075960179","https://openalex.org/W2099471712","https://openalex.org/W2105102111","https://openalex.org/W2166151045","https://openalex.org/W2254715784","https://openalex.org/W2285660444","https://openalex.org/W2289543008","https://openalex.org/W2442974303","https://openalex.org/W2508602506","https://openalex.org/W2511743527","https://openalex.org/W2513554817","https://openalex.org/W2515287984","https://openalex.org/W2516141709","https://openalex.org/W2518281301","https://openalex.org/W2560912757","https://openalex.org/W2906043559","https://openalex.org/W4236302577","https://openalex.org/W4239722617","https://openalex.org/W4247624284","https://openalex.org/W4249654426","https://openalex.org/W4320013936","https://openalex.org/W6691839725"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2128523353","https://openalex.org/W2055243143","https://openalex.org/W2611989081","https://openalex.org/W2291648581","https://openalex.org/W4230611425","https://openalex.org/W2731899572","https://openalex.org/W2038503502","https://openalex.org/W3023876411","https://openalex.org/W123152114"],"abstract_inverted_index":{"Compact":[0],"online":[1],"learning":[2,52,88,110],"architectures":[3,53,66],"could":[4],"be":[5,56,113],"used":[6,57],"to":[7,13,16,27,30,67,98,102],"enhance":[8],"internet":[9],"of":[10,25,70,108,125],"things":[11],"devices":[12],"allow":[14],"them":[15],"learn":[17,68],"directly":[18],"based":[19,75],"on":[20,76],"data":[21,29,47],"being":[22,73],"received":[23],"instead":[24],"having":[26],"ship":[28],"a":[31,84],"remote":[32],"server":[33],"for":[34,90,155],"learning.":[35],"This":[36,79],"saves":[37],"communications":[38],"energy":[39,151],"and":[40,43,62,122,150,158],"enhances":[41],"privacy":[42],"security":[44],"as":[45],"the":[46,71,82,126,143],"is":[48,129],"not":[49],"shared.":[50],"The":[51,118],"can":[54,112,146],"also":[55],"in":[58,63,115],"high":[59],"performance":[60],"computing":[61,65],"traditional":[64],"approximations":[69],"functions":[72],"performed":[74],"runtime":[77],"activities.":[78],"paper":[80],"presents":[81],"Socrates-D":[83],"digital":[85],"multicore":[86],"on-chip":[87],"architecture":[89,128,145],"deep":[91,109],"neural":[92,100],"networks.":[93],"It":[94],"has":[95],"memories":[96],"internal":[97],"each":[99],"core":[101],"store":[103],"synaptic":[104],"weights.":[105],"A":[106],"variety":[107],"applications":[111],"processed":[114],"this":[116],"architecture.":[117],"system":[119],"level":[120],"area":[121,149],"power":[123],"benefits":[124],"specialized":[127],"compared":[130],"with":[131],"an":[132],"NVIDIA":[133],"GEFORCE":[134],"GTX":[135],"980Ti":[136],"GPGPU.":[137],"Our":[138],"experimental":[139],"evaluations":[140],"show":[141],"that":[142],"proposed":[144],"provide":[147],"significant":[148],"efficiencies":[152],"over":[153],"GPGPUs":[154],"both":[156],"training":[157],"inference.":[159]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}