{"id":"https://openalex.org/W4388041715","doi":"https://doi.org/10.1109/mlcad58807.2023.10299849","title":"Bridging Divides: Unifying AI Architectures from from Edge to Cloud","display_name":"Bridging Divides: Unifying AI Architectures from from Edge to Cloud","publication_year":2023,"publication_date":"2023-09-10","ids":{"openalex":"https://openalex.org/W4388041715","doi":"https://doi.org/10.1109/mlcad58807.2023.10299849"},"language":"en","primary_location":{"id":"doi:10.1109/mlcad58807.2023.10299849","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlcad58807.2023.10299849","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 ACM/IEEE 5th Workshop on Machine Learning for CAD (MLCAD)","raw_type":"proceedings-article"},"type":"conference-abstract","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/A5010411820","display_name":"I. Bolsens","orcid":null},"institutions":[{"id":"https://openalex.org/I1311921367","display_name":"Advanced Micro Devices (Canada)","ror":"https://ror.org/02yh0k313","country_code":"CA","type":"company","lineage":["https://openalex.org/I1311921367","https://openalex.org/I4210137977"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Ivo Bolsens","raw_affiliation_strings":["Senior Vice President, Head of Corporate Research and Advanced Development, AMD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Senior Vice President, Head of Corporate Research and Advanced Development, AMD","institution_ids":["https://openalex.org/I1311921367"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5010411820"],"corresponding_institution_ids":["https://openalex.org/I1311921367"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.8021000027656555,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.8021000027656555,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bridging","display_name":"Bridging (networking)","score":0.9176269769668579},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.7150574326515198},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6729755401611328},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.46079593896865845},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22244271636009216},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.11908212304115295},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.11092403531074524}],"concepts":[{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.9176269769668579},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7150574326515198},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6729755401611328},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.46079593896865845},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22244271636009216},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.11908212304115295},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.11092403531074524}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mlcad58807.2023.10299849","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlcad58807.2023.10299849","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 ACM/IEEE 5th Workshop on Machine Learning for CAD (MLCAD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4388870064","https://openalex.org/W2210139803","https://openalex.org/W4235186151","https://openalex.org/W2054685365","https://openalex.org/W2056057048","https://openalex.org/W2667588871","https://openalex.org/W2272354214"],"abstract_inverted_index":{"The":[0,216,242],"world":[1],"of":[2,35,65,104,136,168,218,234,276],"artificial":[3,154],"intelligence":[4],"and":[5,17,19,39,69,107,131,147,158,162,164,172,191,213,236,238,252,264,270,285,292,298,324],"machine":[6,225],"learning":[7,226,272],"(AI/ML)":[8],"is":[9],"fragmented":[10],"into":[11],"different":[12],"domains,":[13],"split":[14],"by":[15],"training":[16,157,235,284],"inference,":[18,159],"cloud":[20,29,263],"versus":[21],"edge.":[22,265,303],"Training":[23],"normally":[24],"takes":[25],"place":[26],"in":[27,52,77,86,294,301,321],"the":[28,46,66,78,97,101,116,119,137,153,166,169,229,274,295,302,309,314],"where":[30,63],"many":[31,205],"high-powered":[32],"servers,":[33],"plenty":[34],"memory,":[36],"hardware":[37],"accelerators,":[38],"high-speed":[40],"networking":[41],"can":[42,56,82],"be":[43,57,84,203],"thrown":[44],"at":[45,100],"workload.":[47],"Scaling-out":[48],"workloads":[49,81],"typically":[50],"results":[51],"communication":[53],"bottlenecks":[54],"which":[55],"alleviated":[58],"with":[59],"novel":[60],"compute":[61,138],"architectures":[62,142],"part":[64],"AI/ML":[67,328],"workload":[68],"network":[70,161],"functions":[71],"such":[72,188,256],"as":[73,189,257,327],"collectives":[74],"are":[75,94,250],"handled":[76],"network.":[79],"Inference":[80],"also":[83],"performed":[85],"a":[87,177,219,277],"data":[88,129,197,248,296],"center,":[89],"but":[90],"increasingly,":[91],"inference":[92,112,237,286],"tasks":[93],"migrating":[95],"to":[96,122,202,317,333],"client":[98],"devices":[99,113,300],"edge":[102,111,182,239,332],"because":[103],"latency,":[105],"bandwidth":[106],"privacy":[108],"reasons.":[109],"Most":[110],"cannot":[114],"afford":[115],"silicon":[117],"or":[118],"power":[120,212,325],"consumption":[121],"perform":[123],"all":[124],"calculations":[125],"using":[126],"full-precision,":[127],"floating-point":[128],"formats":[130,150,249],"require":[132],"more":[133],"efficient":[134,181],"utilization":[135],"HW.AI/ML":[139],"accelerator":[140],"scalable":[141,221],"that":[143,195,246,288],"support":[144],"both":[145],"full-":[146],"reduced-precision":[148],"numerical":[149],"break":[151,261],"down":[152,228],"boundary":[155],"between":[156,231,262],"cloud,":[160],"edge,":[163],"enable":[165],"deployment":[167],"same":[170],"standard":[171],"familiar":[173],"software":[174],"tools":[175],"for":[176,224,254],"unified":[178,220,243,268,306],"architecture.":[179],"These":[180],"AI":[183],"accelerators":[184],"employ":[185],"architectural":[186],"innovations":[187],"dataflow":[190,222],"on-chip":[192],"broadcast":[193],"networks":[194],"permit":[196],"fetched":[198],"from":[199,281,331],"external":[200],"memory":[201],"reused":[204],"times":[206],"once":[207],"brought":[208],"on-chip,":[209],"thus":[210],"saving":[211],"scaling":[214],"performance.":[215],"availability":[217],"architecture":[223,244,269],"breaks":[227],"wall":[230],"distinctive":[232],"phases":[233],"vs":[240],"cloud.":[241,334],"ensures":[245],"compatible":[247],"used":[251],"optimizations":[253],"data-formats":[255],"sparsity":[258],"representations":[259],"don\u2019t":[260],"A":[266],"scalable,":[267],"continual":[271],"throughout":[273],"lifetime":[275],"deployed":[278],"application":[279],"departs":[280],"today\u2019s":[282],"conventional":[283],"practice":[287],"relies":[289],"on":[290],"CPUs":[291],"GPUs":[293],"center":[297],"specialized":[299],"Yet,":[304],"this":[305],"approach":[307],"seems":[308],"most":[310],"logical":[311],"path":[312],"if":[313],"industry":[315],"wants":[316],"make":[318],"large":[319],"gains":[320],"performance,":[322],"accuracy,":[323],"efficiency":[326],"becomes":[329],"pervasive":[330]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
