{"id":"https://openalex.org/W4396723489","doi":"https://doi.org/10.1145/3589334.3645395","title":"FusionRender: Harnessing WebGPU's Power for Enhanced Graphics Performance on Web Browsers","display_name":"FusionRender: Harnessing WebGPU's Power for Enhanced Graphics Performance on Web Browsers","publication_year":2024,"publication_date":"2024-05-08","ids":{"openalex":"https://openalex.org/W4396723489","doi":"https://doi.org/10.1145/3589334.3645395"},"language":"en","primary_location":{"id":"doi:10.1145/3589334.3645395","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3589334.3645395","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2024","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/A5070313369","display_name":"Weichen Bi","orcid":"https://orcid.org/0000-0002-9465-910X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"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"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weichen Bi","raw_affiliation_strings":["Institute for Artificial Intelligence, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9465-910X","affiliations":[{"raw_affiliation_string":"Institute for Artificial Intelligence, Peking University, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101614814","display_name":"Yun Ma","orcid":"https://orcid.org/0000-0001-7866-4075"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Ma","raw_affiliation_strings":["Institute for Artificial Intelligence, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7866-4075","affiliations":[{"raw_affiliation_string":"Institute for Artificial Intelligence, Peking University, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101855618","display_name":"Yudong Han","orcid":"https://orcid.org/0000-0003-4846-5803"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yudong Han","raw_affiliation_strings":["Institute for Artificial Intelligence, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4846-5803","affiliations":[{"raw_affiliation_string":"Institute for Artificial Intelligence, Peking University, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002427070","display_name":"Yifan Chen","orcid":"https://orcid.org/0009-0008-9597-4444"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Chen","raw_affiliation_strings":["College of Computer and Data Science, Fuzhou University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0008-9597-4444","affiliations":[{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University, Beijing, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060003575","display_name":"Deyu Tian","orcid":"https://orcid.org/0000-0003-2851-5332"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deyu Tian","raw_affiliation_strings":["School of Computer Science, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2851-5332","affiliations":[{"raw_affiliation_string":"School of Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032678723","display_name":"Jiaqi Du","orcid":"https://orcid.org/0009-0006-0274-4603"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaqi Du","raw_affiliation_strings":["School of Electronics Engineering and Computer Science, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0006-0274-4603","affiliations":[{"raw_affiliation_string":"School of Electronics Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5070313369"],"corresponding_institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210100255"],"apc_list":null,"apc_paid":null,"fwci":2.4033,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.92652956,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2890","last_page":"2901"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.998199999332428,"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"}},"topics":[{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.998199999332428,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9976999759674072,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9951000213623047,"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/rendering","display_name":"Rendering (computer graphics)","score":0.897849440574646},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8145290613174438},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.7225631475448608},{"id":"https://openalex.org/keywords/software-rendering","display_name":"Software rendering","score":0.63709557056427},{"id":"https://openalex.org/keywords/texture-memory","display_name":"Texture memory","score":0.6250714063644409},{"id":"https://openalex.org/keywords/real-time-rendering","display_name":"Real-time rendering","score":0.5839004516601562},{"id":"https://openalex.org/keywords/tiled-rendering","display_name":"Tiled rendering","score":0.5696336030960083},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.5145972967147827},{"id":"https://openalex.org/keywords/alternate-frame-rendering","display_name":"Alternate frame rendering","score":0.5066271424293518},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics","score":0.4433283507823944},{"id":"https://openalex.org/keywords/3d-computer-graphics","display_name":"3D computer graphics","score":0.43999549746513367}],"concepts":[{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.897849440574646},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8145290613174438},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.7225631475448608},{"id":"https://openalex.org/C109772839","wikidata":"https://www.wikidata.org/wiki/Q2297645","display_name":"Software rendering","level":4,"score":0.63709557056427},{"id":"https://openalex.org/C18766215","wikidata":"https://www.wikidata.org/wiki/Q7708532","display_name":"Texture memory","level":5,"score":0.6250714063644409},{"id":"https://openalex.org/C116921373","wikidata":"https://www.wikidata.org/wiki/Q2816483","display_name":"Real-time rendering","level":3,"score":0.5839004516601562},{"id":"https://openalex.org/C189059883","wikidata":"https://www.wikidata.org/wiki/Q7802119","display_name":"Tiled rendering","level":5,"score":0.5696336030960083},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.5145972967147827},{"id":"https://openalex.org/C97431224","wikidata":"https://www.wikidata.org/wiki/Q438393","display_name":"Alternate frame rendering","level":5,"score":0.5066271424293518},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.4433283507823944},{"id":"https://openalex.org/C66629338","wikidata":"https://www.wikidata.org/wiki/Q189177","display_name":"3D computer graphics","level":3,"score":0.43999549746513367}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3589334.3645395","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3589334.3645395","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2024","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W71880246","https://openalex.org/W1974736281","https://openalex.org/W2040572456","https://openalex.org/W2052043003","https://openalex.org/W2097698118","https://openalex.org/W2762989410","https://openalex.org/W2766260608","https://openalex.org/W2803142888","https://openalex.org/W2810120553","https://openalex.org/W2838572662","https://openalex.org/W2883229063","https://openalex.org/W2888998995","https://openalex.org/W2890778956","https://openalex.org/W2917841524","https://openalex.org/W2953379151","https://openalex.org/W2982334556","https://openalex.org/W2996674694","https://openalex.org/W3030623740","https://openalex.org/W3033038430","https://openalex.org/W3047462252","https://openalex.org/W3082314516","https://openalex.org/W3092464776","https://openalex.org/W3097083252","https://openalex.org/W3106672182","https://openalex.org/W4200075759","https://openalex.org/W4200460025","https://openalex.org/W4241614188","https://openalex.org/W4246571396","https://openalex.org/W4311805697","https://openalex.org/W4311960573","https://openalex.org/W4318541674","https://openalex.org/W4362679297","https://openalex.org/W4367046859","https://openalex.org/W4367662595","https://openalex.org/W4384155482"],"related_works":["https://openalex.org/W2407724398","https://openalex.org/W2106370129","https://openalex.org/W2112265557","https://openalex.org/W2939981030","https://openalex.org/W116180262","https://openalex.org/W2030373729","https://openalex.org/W2156741459","https://openalex.org/W2003963186","https://openalex.org/W1899326437","https://openalex.org/W2336642872"],"abstract_inverted_index":{"Graphics":[0],"rendering":[1,49,74,128,136,143],"on":[2,52,58,92],"web":[3,11,21],"browsers":[4],"serves":[5],"as":[6],"the":[7,15,19,44,83,89,93,97,101,124,135,142,149],"foundation":[8],"for":[9,121],"numerous":[10],"applications.":[12],"Compared":[13],"with":[14,68,148,156],"widely":[16],"employed":[17],"WebGL,":[18],"next-generation":[20],"graphics":[22,48,90,127],"API,":[23],"WebGPU,":[24],"demonstrates":[25],"an":[26,65],"enhanced":[27],"capacity":[28],"to":[29,31,79,99,114,165],"adapt":[30],"modern":[32],"GPU":[33],"features,":[34,159],"boasting":[35],"more":[36,157],"significant":[37],"potential.":[38],"However,":[39],"our":[40],"experiment":[41],"shows":[42],"that":[43],"performance":[45,91,144,160,171],"of":[46,75,103,126,137],"current":[47],"frameworks":[50],"based":[51],"WebGPU":[53],"lags":[54],"behind":[55],"those":[56],"built":[57],"WebGL.":[59],"Such":[60],"discrepancy":[61],"primarily":[62],"arises":[63],"from":[64,163],"incomplete":[66],"alignment":[67],"WebGPU's":[69],"distinctive":[70],"features.":[71],"The":[72],"individual":[73],"each":[76,115],"graphic":[77],"leads":[78],"redundant":[80,107],"communication":[81],"between":[82],"CPU":[84],"and":[85,117,176],"GPU.":[86],"To":[87,105],"enhance":[88],"web,":[94],"we":[95],"introduce":[96],"FusionRender":[98,109,140,168],"harness":[100],"power":[102],"WebGPU.":[104],"mitigate":[106],"communication,":[108],"assigns":[110],"a":[111],"unique":[112],"signature":[113],"object":[116],"employs":[118],"these":[119],"signatures":[120],"grouping,":[122],"enabling":[123],"consolidation":[125],"whenever":[129],"possible.":[130],"In":[131,153],"simulated":[132],"experiments":[133],"involving":[134],"multiple":[138],"objects,":[139],"improves":[141],"by":[145],"29.3%-122.1%":[146],"compared":[147],"existing":[150],"optimal":[151],"baseline.":[152],"real":[154],"cases":[155],"complex":[158],"improvement":[161],"ranges":[162],"9.4%":[164],"39.7%.":[166],"Additionally,":[167],"exhibits":[169],"robust":[170],"enhancement":[172],"across":[173],"various":[174],"devices":[175],"browsers.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}