{"id":"https://openalex.org/W4317927938","doi":"https://doi.org/10.1145/3560905.3568511","title":"Hyperion","display_name":"Hyperion","publication_year":2022,"publication_date":"2022-11-06","ids":{"openalex":"https://openalex.org/W4317927938","doi":"https://doi.org/10.1145/3560905.3568511"},"language":"en","primary_location":{"id":"doi:10.1145/3560905.3568511","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3560905.3568511","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3560905.3568511","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3560905.3568511","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045410502","display_name":"Ziyan Fu","orcid":"https://orcid.org/0000-0002-1039-0386"},"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":"Ziyan Fu","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/A5015419107","display_name":"Ju Ren","orcid":"https://orcid.org/0000-0003-2782-183X"},"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":"Ju Ren","raw_affiliation_strings":["Tsinghua University, Beijing, China and Zhongguancun Laboratory, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China and Zhongguancun Laboratory, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102880548","display_name":"Yunxin Liu","orcid":"https://orcid.org/0000-0001-7352-8955"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4391012619"]},{"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":"Yunxin Liu","raw_affiliation_strings":["Tsinghua University, Beijing, China and Shanghai Artificial Intelligence Laboratory, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China and Shanghai Artificial Intelligence Laboratory, Shanghai, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4391012619","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101534161","display_name":"Ting Cao","orcid":"https://orcid.org/0000-0002-9107-013X"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Cao","raw_affiliation_strings":["Microsoft Research, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100705648","display_name":"Deyu Zhang","orcid":"https://orcid.org/0000-0002-5676-1285"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deyu Zhang","raw_affiliation_strings":["Central South University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052528809","display_name":"Yuezhi Zhou","orcid":"https://orcid.org/0000-0002-1850-3007"},"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":"Yuezhi Zhou","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":"last","author":{"id":"https://openalex.org/A5069049205","display_name":"Yaoxue Zhang","orcid":"https://orcid.org/0000-0001-6717-461X"},"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":"Yaoxue Zhang","raw_affiliation_strings":["Tsinghua University, Beijing, China and Zhongguancun Laboratory, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China and Zhongguancun Laboratory, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"607","last_page":"621"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9915000200271606,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9915000200271606,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.987500011920929,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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":0.8904687166213989},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5709986686706543},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5670682191848755},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.4618052840232849},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.45637452602386475},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.45618879795074463},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.4289352297782898},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.370796799659729},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3523116707801819},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.2544550895690918}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8904687166213989},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5709986686706543},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5670682191848755},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.4618052840232849},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.45637452602386475},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.45618879795074463},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.4289352297782898},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.370796799659729},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3523116707801819},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.2544550895690918},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3560905.3568511","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3560905.3568511","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3560905.3568511","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3560905.3568511","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3560905.3568511","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3560905.3568511","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.49000000953674316,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G4461067470","display_name":null,"funder_award_id":"62122095","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4936291841","display_name":null,"funder_award_id":"62072472","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5507408182","display_name":null,"funder_award_id":"62172439","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6117262055","display_name":null,"funder_award_id":"20203910074","funder_id":"https://openalex.org/F4320322392","funder_display_name":"Tsinghua University"},{"id":"https://openalex.org/G7868780712","display_name":null,"funder_award_id":"2019B010137005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8028094890","display_name":null,"funder_award_id":"U19A2067","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322392","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4317927938.pdf","grobid_xml":"https://content.openalex.org/works/W4317927938.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W630206999","https://openalex.org/W1573046885","https://openalex.org/W1864199185","https://openalex.org/W1987773847","https://openalex.org/W1993338334","https://openalex.org/W2010936531","https://openalex.org/W2070391909","https://openalex.org/W2071965227","https://openalex.org/W2194775991","https://openalex.org/W2288097092","https://openalex.org/W2295598076","https://openalex.org/W2316673681","https://openalex.org/W2321601136","https://openalex.org/W2343161060","https://openalex.org/W2461316586","https://openalex.org/W2487413466","https://openalex.org/W2605258629","https://openalex.org/W2612690371","https://openalex.org/W2626129225","https://openalex.org/W2626309186","https://openalex.org/W2734941459","https://openalex.org/W2758013740","https://openalex.org/W2761251889","https://openalex.org/W2886851211","https://openalex.org/W2896180420","https://openalex.org/W2909099954","https://openalex.org/W2931092525","https://openalex.org/W2969388332","https://openalex.org/W2996063004","https://openalex.org/W3047392327","https://openalex.org/W3047608784","https://openalex.org/W3049640275","https://openalex.org/W3092837658","https://openalex.org/W3102767875","https://openalex.org/W3106772683","https://openalex.org/W3117549991","https://openalex.org/W3117755275","https://openalex.org/W3153288312","https://openalex.org/W3165698711","https://openalex.org/W3174072910","https://openalex.org/W3187219391","https://openalex.org/W4212774754","https://openalex.org/W4221146321","https://openalex.org/W4235344346","https://openalex.org/W4236853429","https://openalex.org/W4244327494","https://openalex.org/W4246166885","https://openalex.org/W6803376173"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2164382479","https://openalex.org/W98480971","https://openalex.org/W2150291671","https://openalex.org/W2027972911","https://openalex.org/W2146343568","https://openalex.org/W2013643406","https://openalex.org/W2995938785","https://openalex.org/W2149404148","https://openalex.org/W3154796165"],"abstract_inverted_index":{"Despite":[0],"the":[1,61,96,107,114,128,160,198],"significant":[2,51],"development":[3],"of":[4,64,110,131],"mobile":[5,76],"device":[6],"SoCs,":[7],"they":[8],"are":[9,147],"still":[10],"inefficient":[11],"in":[12,50],"computing":[13,129,210],"computation-intensive":[14],"workloads,":[15],"such":[16],"as":[17],"high-resolution":[18],"image":[19],"processing":[20,169],"and":[21,69,74,100,112,151,163,173,201,208],"AR/VR":[22],"applications.":[23],"Offloading":[24],"offers":[25],"a":[26,72,92,132],"promising":[27],"way":[28],"to":[29,42,105,117,126,154,166,179,204],"leverage":[30],"cloud":[31],"or":[32,45],"edge":[33],"servers":[34],"for":[35,87],"acceleration,":[36],"but":[37],"existing":[38],"offloading":[39,77],"is":[40,124,138],"limited":[41],"specific":[43,46],"tasks":[44],"hardware/software":[47],"platforms,":[48],"resulting":[49],"engineering":[52],"overhead.":[53],"To":[54,82],"address":[55],"this":[56],"problem,":[57],"we":[58,89],"focus":[59],"on":[60,80],"underlying":[62],"layer":[63],"these":[65],"applications":[66],"(i.e.,":[67],"OpenCL)":[68],"propose":[70],"Hyperion,":[71,88],"generic":[73],"distributed":[75,85,174],"framework":[78],"built":[79],"OpenCL.":[81],"achieve":[83],"high-performance":[84],"execution":[86,121,175],"first":[90],"take":[91],"deep":[93],"insight":[94],"into":[95,149],"OpenCL":[97],"data":[98,108,116,171],"structures":[99],"design":[101],"regularity-aware":[102],"kernel":[103,135,161],"analyzer":[104],"analyze":[106],"dependency":[109],"work-groups":[111],"identify":[113],"essential":[115],"offload.":[118],"Then,":[119],"context-aware":[120],"time":[122,130],"predictor":[123],"proposed":[125],"estimate":[127],"given":[133],"partitioned":[134],"workload":[136,164],"that":[137,186],"highly":[139],"impacted":[140],"by":[141],"many":[142],"runtime":[143],"factors.":[144],"These":[145],"techniques":[146],"integrated":[148],"pipeline-enabled":[150],"network-adaptive":[152],"scheduler":[153],"make":[155],"scheduling":[156,165],"decisions,":[157],"which":[158],"coordinates":[159],"partition":[162],"form":[167],"pipeline":[168],"between":[170],"transmission":[172],"with":[176,191,197],"flexible":[177,202],"adaptability":[178],"network":[180,206],"dynamics.":[181],"Extensive":[182],"experimental":[183],"results":[184],"demonstrate":[185],"Hyperion":[187],"achieves":[188],"superior":[189],"performance":[190],"an":[192],"average":[193],"3.80\u00d7":[194],"speedup":[195],"compared":[196],"best":[199],"baseline":[200],"adaptation":[203],"dynamic":[205],"conditions":[207],"available":[209],"resources.":[211]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2023-01-25T00:00:00"}
