{"id":"https://openalex.org/W4389109197","doi":"https://doi.org/10.1145/3624354.3630083","title":"Poster: A Fast, Scalable, and Energy-efficient Edge Acceleration Architecture based on GPU Cluster","display_name":"Poster: A Fast, Scalable, and Energy-efficient Edge Acceleration Architecture based on GPU Cluster","publication_year":2023,"publication_date":"2023-11-28","ids":{"openalex":"https://openalex.org/W4389109197","doi":"https://doi.org/10.1145/3624354.3630083"},"language":"en","primary_location":{"id":"doi:10.1145/3624354.3630083","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3624354.3630083","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the 19th International Conference on emerging Networking EXperiments and Technologies","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/A5065722390","display_name":"Yanwei Wang","orcid":"https://orcid.org/0000-0001-6380-3626"},"institutions":[{"id":"https://openalex.org/I4210144143","display_name":"Inspur (China)","ror":"https://ror.org/0474p4r72","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210144143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanwei Wang","raw_affiliation_strings":["Inspur Electronic Information Industry Co., Ltd, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0001-6380-3626","affiliations":[{"raw_affiliation_string":"Inspur Electronic Information Industry Co., Ltd, Jinan, China","institution_ids":["https://openalex.org/I4210144143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044717081","display_name":"Dongdong Su","orcid":"https://orcid.org/0009-0005-9021-5308"},"institutions":[{"id":"https://openalex.org/I4210144143","display_name":"Inspur (China)","ror":"https://ror.org/0474p4r72","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210144143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongdong Su","raw_affiliation_strings":["Inspur Electronic Information Industry Co., Ltd &amp; Guangdong Inspur Intelligent Computing Technology Co., Ltd, Jinan, China"],"raw_orcid":"https://orcid.org/0009-0005-9021-5308","affiliations":[{"raw_affiliation_string":"Inspur Electronic Information Industry Co., Ltd &amp; Guangdong Inspur Intelligent Computing Technology Co., Ltd, Jinan, China","institution_ids":["https://openalex.org/I4210144143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041845966","display_name":"Qianqian Zhao","orcid":"https://orcid.org/0000-0002-6023-9879"},"institutions":[{"id":"https://openalex.org/I4210144143","display_name":"Inspur (China)","ror":"https://ror.org/0474p4r72","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210144143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianqian Zhao","raw_affiliation_strings":["Inspur Electronic Information Industry Co., Ltd, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0002-6023-9879","affiliations":[{"raw_affiliation_string":"Inspur Electronic Information Industry Co., Ltd, Jinan, China","institution_ids":["https://openalex.org/I4210144143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093365653","display_name":"Linge Xiao","orcid":"https://orcid.org/0000-0002-2491-4574"},"institutions":[{"id":"https://openalex.org/I4210144143","display_name":"Inspur (China)","ror":"https://ror.org/0474p4r72","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210144143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linge Xiao","raw_affiliation_strings":["Inspur Electronic Information Industry Co., Ltd, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0002-2491-4574","affiliations":[{"raw_affiliation_string":"Inspur Electronic Information Industry Co., Ltd, Jinan, China","institution_ids":["https://openalex.org/I4210144143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037450436","display_name":"Yanmei Shen","orcid":"https://orcid.org/0009-0000-4408-9498"},"institutions":[{"id":"https://openalex.org/I4210144143","display_name":"Inspur (China)","ror":"https://ror.org/0474p4r72","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210144143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanmei Shen","raw_affiliation_strings":["Inspur Electronic Information Industry Co., Ltd, Jinan, China"],"raw_orcid":"https://orcid.org/0009-0000-4408-9498","affiliations":[{"raw_affiliation_string":"Inspur Electronic Information Industry Co., Ltd, Jinan, China","institution_ids":["https://openalex.org/I4210144143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018189662","display_name":"Kefeng Zhu","orcid":"https://orcid.org/0000-0002-0377-6176"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kefeng Zhu","raw_affiliation_strings":["Guangdong Inspur Intelligent Computing Technology Co., Ltd, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0377-6176","affiliations":[{"raw_affiliation_string":"Guangdong Inspur Intelligent Computing Technology Co., Ltd, Guangzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19067137,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"53","last_page":"54"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11478","display_name":"Caching and Content Delivery","score":0.987500011920929,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.809625506401062},{"id":"https://openalex.org/keywords/remote-direct-memory-access","display_name":"Remote direct memory access","score":0.7664228677749634},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.7580556273460388},{"id":"https://openalex.org/keywords/pci-express","display_name":"PCI Express","score":0.7291560173034668},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6878165602684021},{"id":"https://openalex.org/keywords/gpu-cluster","display_name":"GPU cluster","score":0.6713908314704895},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.5044351816177368},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.43691882491111755},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.40738844871520996},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3582184314727783},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.35023775696754456},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.3439847230911255},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.25445976853370667},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.22556135058403015}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.809625506401062},{"id":"https://openalex.org/C130795937","wikidata":"https://www.wikidata.org/wiki/Q2561570","display_name":"Remote direct memory access","level":2,"score":0.7664228677749634},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.7580556273460388},{"id":"https://openalex.org/C64270927","wikidata":"https://www.wikidata.org/wiki/Q206924","display_name":"PCI Express","level":3,"score":0.7291560173034668},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6878165602684021},{"id":"https://openalex.org/C2781335571","wikidata":"https://www.wikidata.org/wiki/Q2633544","display_name":"GPU cluster","level":3,"score":0.6713908314704895},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.5044351816177368},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.43691882491111755},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.40738844871520996},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3582184314727783},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.35023775696754456},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.3439847230911255},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.25445976853370667},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.22556135058403015},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3624354.3630083","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3624354.3630083","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the 19th International Conference on emerging Networking EXperiments and Technologies","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8999999761581421,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2889463335","https://openalex.org/W3206171855"],"related_works":["https://openalex.org/W3135214639","https://openalex.org/W2197138596","https://openalex.org/W2248641188","https://openalex.org/W1901618855","https://openalex.org/W4309997664","https://openalex.org/W3105798355","https://openalex.org/W2937592512","https://openalex.org/W3034923428","https://openalex.org/W4311118888","https://openalex.org/W619618554"],"abstract_inverted_index":{"GPU-aided":[0,96],"servers":[1,97],"are":[2],"widely":[3],"used":[4],"to":[5,29,63,68],"accelerate":[6],"the":[7,51,87,93],"increasing":[8],"computing":[9,16],"workload":[10],"on":[11],"edge":[12,26,82],"network.":[13,52],"However,":[14],"massive":[15],"requests":[17],"can":[18,46],"cause":[19],"delays":[20],"in":[21,39,80],"transmission":[22],"and":[23,33,111],"processing":[24],"at":[25],"servers,":[27],"leading":[28],"long":[30],"response":[31],"time":[32],"high":[34],"system":[35],"energy":[36],"consumption.":[37],"Moreover,":[38],"distributed":[40],"scenarios,":[41],"GPUs":[42,79],"from":[43],"different":[44],"vendors":[45],"hardly":[47],"communicate":[48],"directly":[49],"through":[50],"As":[53],"a":[54,71],"rare":[55],"open-source":[56],"GPU":[57,106],"architecture,":[58],"Vortex":[59,78,95,105],"has":[60],"been":[61],"emerged":[62],"enable":[64],"an":[65],"FPGA":[66],"accelerator":[67],"serve":[69],"as":[70],"PCIe-based":[72],"soft":[73],"GPU.":[74],"On":[75],"this":[76],"basis,":[77],"our":[81,99,104],"acceleration":[83],"architecture":[84],"further":[85],"integrate":[86],"low-latency":[88],"RDMA":[89],"function.":[90],"Compared":[91],"with":[92],"original":[94],"cluster,":[98],"preliminary":[100],"study":[101],"shows":[102],"that":[103],"cluster":[107],"is":[108],"fast,":[109],"scalable,":[110],"energy-efficient.":[112]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
