{"id":"https://openalex.org/W4411020013","doi":"https://doi.org/10.1145/3726854.3727282","title":"Diffusion-Based Generative System Surrogates for Scalable Learning-Driven Optimization in Virtual Playgrounds","display_name":"Diffusion-Based Generative System Surrogates for Scalable Learning-Driven Optimization in Virtual Playgrounds","publication_year":2025,"publication_date":"2025-06-04","ids":{"openalex":"https://openalex.org/W4411020013","doi":"https://doi.org/10.1145/3726854.3727282"},"language":"en","primary_location":{"id":"doi:10.1145/3726854.3727282","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3726854.3727282","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Abstracts of the 2025 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems","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/A5108127414","display_name":"Junyoung Lee","orcid":"https://orcid.org/0009-0005-8080-2082"},"institutions":[{"id":"https://openalex.org/I193352282","display_name":"Daegu Gyeongbuk Institute of Science and Technology","ror":"https://ror.org/03frjya69","country_code":"KR","type":"education","lineage":["https://openalex.org/I193352282"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Junyoung Lee","raw_affiliation_strings":["DGIST, Daegu, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0005-8080-2082","affiliations":[{"raw_affiliation_string":"DGIST, Daegu, Republic of Korea","institution_ids":["https://openalex.org/I193352282"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114860729","display_name":"Seohyun Kim","orcid":"https://orcid.org/0009-0005-9702-0642"},"institutions":[{"id":"https://openalex.org/I193352282","display_name":"Daegu Gyeongbuk Institute of Science and Technology","ror":"https://ror.org/03frjya69","country_code":"KR","type":"education","lineage":["https://openalex.org/I193352282"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seohyun Kim","raw_affiliation_strings":["DGIST, Daegu, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0005-9702-0642","affiliations":[{"raw_affiliation_string":"DGIST, Daegu, Republic of Korea","institution_ids":["https://openalex.org/I193352282"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101269027","display_name":"Shinhyoung Jang","orcid":null},"institutions":[{"id":"https://openalex.org/I193352282","display_name":"Daegu Gyeongbuk Institute of Science and Technology","ror":"https://ror.org/03frjya69","country_code":"KR","type":"education","lineage":["https://openalex.org/I193352282"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Shinhyoung Jang","raw_affiliation_strings":["DGIST, Daegu, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0008-0378-3801","affiliations":[{"raw_affiliation_string":"DGIST, Daegu, Republic of Korea","institution_ids":["https://openalex.org/I193352282"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102325364","display_name":"Jongho Park","orcid":"https://orcid.org/0000-0002-3898-838X"},"institutions":[{"id":"https://openalex.org/I193352282","display_name":"Daegu Gyeongbuk Institute of Science and Technology","ror":"https://ror.org/03frjya69","country_code":"KR","type":"education","lineage":["https://openalex.org/I193352282"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jongho Park","raw_affiliation_strings":["DGIST, Daegu, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-3898-838X","affiliations":[{"raw_affiliation_string":"DGIST, Daegu, Republic of Korea","institution_ids":["https://openalex.org/I193352282"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067380102","display_name":"Yeseong Kim","orcid":"https://orcid.org/0000-0001-5947-9632"},"institutions":[{"id":"https://openalex.org/I193352282","display_name":"Daegu Gyeongbuk Institute of Science and Technology","ror":"https://ror.org/03frjya69","country_code":"KR","type":"education","lineage":["https://openalex.org/I193352282"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yeseong Kim","raw_affiliation_strings":["DGIST, Daegu, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0001-5947-9632","affiliations":[{"raw_affiliation_string":"DGIST, Daegu, Republic of Korea","institution_ids":["https://openalex.org/I193352282"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I193352282"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"43","last_page":"45"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9860000014305115,"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"}},"topics":[{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9860000014305115,"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"}},{"id":"https://openalex.org/T10731","display_name":"Educational Games and Gamification","score":0.9736999869346619,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.97079998254776,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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":0.7457979917526245},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7077932357788086},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6179772019386292},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.5454937815666199},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.42115864157676697},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3856663405895233},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3853870928287506},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3261561691761017},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.0997452437877655},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0749378502368927}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7457979917526245},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7077932357788086},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6179772019386292},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.5454937815666199},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.42115864157676697},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3856663405895233},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3853870928287506},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3261561691761017},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0997452437877655},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0749378502368927},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3726854.3727282","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3726854.3727282","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Abstracts of the 2025 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2093400430","https://openalex.org/W2131450845","https://openalex.org/W2398616921","https://openalex.org/W2796645376","https://openalex.org/W3154807499"],"related_works":["https://openalex.org/W4365211920","https://openalex.org/W1982914007","https://openalex.org/W3014948380","https://openalex.org/W2159583675","https://openalex.org/W4391584540","https://openalex.org/W1824242903","https://openalex.org/W1493858311","https://openalex.org/W2155470929","https://openalex.org/W2111125783","https://openalex.org/W2394465510"],"abstract_inverted_index":{"In":[0,111],"this":[1],"paper,":[2],"we":[3,95],"present":[4],"DiffNEST,":[5],"a":[6,50,126],"diffusion-based":[7],"surrogate":[8,128],"framework":[9,130],"that":[10,77,82],"enables":[11],"scalable,":[12],"learning-driven":[13],"optimization":[14,26,119],"in":[15],"complex":[16],"computing":[17],"environments.":[18],"As":[19],"modern":[20],"systems":[21],"become":[22],"increasingly":[23],"intricate,":[24],"traditional":[25],"methods":[27],"often":[28],"fall":[29],"short,":[30],"and":[31,41,56,64,87,98,121],"RL-based":[32],"approaches":[33],"are":[34],"hindered":[35],"by":[36,48],"high":[37],"data":[38],"collection":[39],"costs":[40],"hardware":[42,72],"limitations.":[43],"DiffNEST":[44,78,113],"addresses":[45],"these":[46,92],"challenges":[47],"training":[49],"diffusion":[51],"model":[52],"to":[53],"generate":[54],"realistic":[55],"temporally":[57],"coherent":[58],"system":[59,89],"traces":[60,81],"from":[61],"high-level":[62],"workload":[63,122],"configuration":[65],"inputs,":[66],"eliminating":[67],"the":[68],"need":[69],"for":[70,131],"physical":[71],"during":[73],"optimization.":[74,133],"We":[75],"show":[76],"produces":[79],"high-fidelity":[80],"accurately":[83],"reflect":[84],"both":[85],"spatial":[86],"temporal":[88],"behaviors.":[90],"Using":[91],"synthetic":[93],"traces,":[94],"optimize":[96],"DVFS":[97],"multi-core":[99],"cache":[100],"allocation,":[101],"demonstrating":[102],"effective":[103],"policy":[104],"learning":[105],"without":[106],"relying":[107],"on":[108],"actual":[109],"hardware.":[110],"addition,":[112],"can":[114],"be":[115],"fine-tuned":[116],"across":[117],"different":[118],"tasks":[120],"domains,":[123],"making":[124],"it":[125],"versatile":[127],"modeling":[129],"system-level":[132]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}