{"id":"https://openalex.org/W4401943788","doi":"https://doi.org/10.1109/edge62653.2024.00020","title":"Split DNN Inference for Exploiting Near-Edge Accelerators","display_name":"Split DNN Inference for Exploiting Near-Edge Accelerators","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4401943788","doi":"https://doi.org/10.1109/edge62653.2024.00020"},"language":"en","primary_location":{"id":"doi:10.1109/edge62653.2024.00020","is_oa":false,"landing_page_url":"https://doi.org/10.1109/edge62653.2024.00020","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 Edge Computing and Communications (EDGE)","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/A5108884459","display_name":"Hao Liu","orcid":"https://orcid.org/0009-0003-6952-1541"},"institutions":[{"id":"https://openalex.org/I71920554","display_name":"King Abdullah University of Science and Technology","ror":"https://ror.org/01q3tbs38","country_code":"SA","type":"education","lineage":["https://openalex.org/I71920554"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Hao Liu","raw_affiliation_strings":["King Abdullah University of Science and Technology,CEMSE Division,Thuwal,Saudi Arabia,23955"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"King Abdullah University of Science and Technology,CEMSE Division,Thuwal,Saudi Arabia,23955","institution_ids":["https://openalex.org/I71920554"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084829415","display_name":"Mohammed E. Fouda","orcid":"https://orcid.org/0000-0001-7139-3428"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohammed E. Fouda","raw_affiliation_strings":["Rain Neuromorphics, Inc.,San Francisco,CA,USA,94110"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rain Neuromorphics, Inc.,San Francisco,CA,USA,94110","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013660772","display_name":"Ahmed M. Eltawil","orcid":"https://orcid.org/0000-0003-1849-083X"},"institutions":[{"id":"https://openalex.org/I71920554","display_name":"King Abdullah University of Science and Technology","ror":"https://ror.org/01q3tbs38","country_code":"SA","type":"education","lineage":["https://openalex.org/I71920554"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Ahmed M. Eltawil","raw_affiliation_strings":["King Abdullah University of Science and Technology,CEMSE Division,Thuwal,Saudi Arabia,23955"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"King Abdullah University of Science and Technology,CEMSE Division,Thuwal,Saudi Arabia,23955","institution_ids":["https://openalex.org/I71920554"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032556461","display_name":"Suhaib A. Fahmy","orcid":"https://orcid.org/0000-0003-0568-5048"},"institutions":[{"id":"https://openalex.org/I71920554","display_name":"King Abdullah University of Science and Technology","ror":"https://ror.org/01q3tbs38","country_code":"SA","type":"education","lineage":["https://openalex.org/I71920554"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Suhaib A. Fahmy","raw_affiliation_strings":["King Abdullah University of Science and Technology,CEMSE Division,Thuwal,Saudi Arabia,23955"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"King Abdullah University of Science and Technology,CEMSE Division,Thuwal,Saudi Arabia,23955","institution_ids":["https://openalex.org/I71920554"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.7372,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.93416191,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"84","last_page":"91"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11216","display_name":"Radiation Detection and Scintillator Technologies","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11216","display_name":"Radiation Detection and Scintillator Technologies","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11044","display_name":"Particle Detector Development and Performance","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/3106","display_name":"Nuclear and High Energy Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9866999983787537,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.7307010293006897},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.682250440120697},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5774329900741577},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4513128101825714}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7307010293006897},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.682250440120697},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5774329900741577},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4513128101825714}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/edge62653.2024.00020","is_oa":false,"landing_page_url":"https://doi.org/10.1109/edge62653.2024.00020","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 Edge Computing and Communications (EDGE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322320","display_name":"King Abdullah University of Science and Technology","ror":"https://ror.org/01q3tbs38"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2220377078","https://openalex.org/W2611056671","https://openalex.org/W2924431334","https://openalex.org/W2953901595","https://openalex.org/W2971714613","https://openalex.org/W2980150456","https://openalex.org/W2981114133","https://openalex.org/W2994848660","https://openalex.org/W3043914740","https://openalex.org/W3046577719","https://openalex.org/W3047573586","https://openalex.org/W3109233295","https://openalex.org/W3202577926","https://openalex.org/W3214543564","https://openalex.org/W4206174637","https://openalex.org/W4224134719","https://openalex.org/W4236099117","https://openalex.org/W4289177059","https://openalex.org/W4312259185","https://openalex.org/W4367044862","https://openalex.org/W6637373629","https://openalex.org/W6754793268","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W2382290278"],"abstract_inverted_index":{"The":[0],"deployment":[1],"of":[2,21,51,81],"increasingly":[3],"complex":[4],"deep":[5,64],"learning":[6],"models":[7,116],"for":[8,61],"inference":[9,25,102],"in":[10],"real":[11],"world":[12],"settings":[13],"requires":[14],"dealing":[15],"with":[16],"the":[17,52,69,77,112,118,130],"constrained":[18],"computational":[19],"capabilities":[20,80],"edge":[22,27,43],"devices.":[23],"Splitting":[24],"between":[26],"and":[28,73,104,114,120],"cloud":[29,74],"has":[30],"been":[31],"proposed":[32],"to":[33,75,95,100,123],"overcome":[34],"these":[35],"limitations,":[36],"but":[37],"entails":[38],"significant":[39],"communication":[40],"latency.":[41,105],"Newer":[42],"accelerator":[44],"devices":[45,83],"can":[46,128],"be":[47],"distributed":[48],"throughout":[49],"layers":[50],"network,":[53],"supporting":[54],"fine-grained":[55],"offload.":[56],"We":[57,91,106],"propose":[58],"a":[59,63],"method":[60,127],"splitting":[62],"neural":[65],"network":[66],"(DNN)":[67],"across":[68],"edge,":[70],"near-edge":[71],"accelerator,":[72],"exploit":[76],"combined":[78],"computing":[79],"such":[82],"while":[84],"minimizing":[85],"transmission":[86],"bandwidth":[87],"and,":[88],"hence,":[89],"energy.":[90],"formulate":[92],"an":[93],"approach":[94,110],"find":[96],"near-optimal":[97],"two-split":[98],"configurations":[99],"optimize":[101],"energy":[103],"thoroughly":[107],"evaluate":[108],"our":[109,126],"on":[111],"VGG16":[113],"ResNet50":[115],"using":[117],"CIFAR-100":[119],"ImageNet":[121],"datasets":[122],"demonstrate":[124],"that":[125],"navigate":[129],"trade-off":[131],"space":[132],"effectively.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":7}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}