{"id":"https://openalex.org/W4395106423","doi":"https://doi.org/10.1145/3620666.3651385","title":"GSCore: Efficient Radiance Field Rendering via Architectural Support for 3D Gaussian Splatting","display_name":"GSCore: Efficient Radiance Field Rendering via Architectural Support for 3D Gaussian Splatting","publication_year":2024,"publication_date":"2024-04-24","ids":{"openalex":"https://openalex.org/W4395106423","doi":"https://doi.org/10.1145/3620666.3651385"},"language":"en","primary_location":{"id":"doi:10.1145/3620666.3651385","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3620666.3651385","pdf_url":null,"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 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3620666.3651385","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101705399","display_name":"Junseo Lee","orcid":"https://orcid.org/0009-0009-4953-1383"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Junseo Lee","raw_affiliation_strings":["Seoul National University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000937141","display_name":"Seokwon Lee","orcid":"https://orcid.org/0009-0009-9028-1312"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seokwon Lee","raw_affiliation_strings":["Seoul National University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014438168","display_name":"Jungi Lee","orcid":"https://orcid.org/0009-0004-5629-6258"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jungi Lee","raw_affiliation_strings":["Seoul National University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000986453","display_name":"Junyong Park","orcid":"https://orcid.org/0009-0003-4228-1138"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Junyong Park","raw_affiliation_strings":["Seoul National University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004251886","display_name":"Jaewoong Sim","orcid":"https://orcid.org/0000-0002-0403-9928"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaewoong Sim","raw_affiliation_strings":["Seoul National University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101705399"],"corresponding_institution_ids":["https://openalex.org/I139264467"],"apc_list":null,"apc_paid":null,"fwci":40.7289,"has_fulltext":false,"cited_by_count":63,"citation_normalized_percentile":{"value":0.99636364,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"497","last_page":"511"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9980999827384949,"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":0.9980999827384949,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9936000108718872,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/radiance","display_name":"Radiance","score":0.8066243529319763},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.761971652507782},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.6911031007766724},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.5740142464637756},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.48714277148246765},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3714975118637085},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.16561326384544373},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.126760333776474}],"concepts":[{"id":"https://openalex.org/C23690007","wikidata":"https://www.wikidata.org/wiki/Q1411145","display_name":"Radiance","level":2,"score":0.8066243529319763},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.761971652507782},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.6911031007766724},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.5740142464637756},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.48714277148246765},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3714975118637085},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.16561326384544373},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.126760333776474},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3620666.3651385","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3620666.3651385","pdf_url":null,"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 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3620666.3651385","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3620666.3651385","pdf_url":null,"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 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.8999999761581421,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W424435301","https://openalex.org/W1990800384","https://openalex.org/W1999250663","https://openalex.org/W2034861439","https://openalex.org/W2048266589","https://openalex.org/W2105649179","https://openalex.org/W2117236520","https://openalex.org/W2155328339","https://openalex.org/W2285660444","https://openalex.org/W2583383421","https://openalex.org/W2738551266","https://openalex.org/W2788007484","https://openalex.org/W2883929540","https://openalex.org/W2901982540","https://openalex.org/W2906043559","https://openalex.org/W3004853346","https://openalex.org/W3023742835","https://openalex.org/W3023860106","https://openalex.org/W3109585842","https://openalex.org/W3205099630","https://openalex.org/W3206171855","https://openalex.org/W3215589927","https://openalex.org/W3215769467","https://openalex.org/W4214661523","https://openalex.org/W4221151978","https://openalex.org/W4240293142","https://openalex.org/W4245199738","https://openalex.org/W4312325284","https://openalex.org/W4327930419","https://openalex.org/W4380874758","https://openalex.org/W4380874786","https://openalex.org/W4380881092","https://openalex.org/W4380881106","https://openalex.org/W4385318467","https://openalex.org/W4386071610","https://openalex.org/W4389491909","https://openalex.org/W4389500423","https://openalex.org/W6659004162","https://openalex.org/W6781421651","https://openalex.org/W6810197527","https://openalex.org/W6855796137"],"related_works":["https://openalex.org/W291250033","https://openalex.org/W2035757446","https://openalex.org/W2008385118","https://openalex.org/W880955280","https://openalex.org/W2106647072","https://openalex.org/W4246858109","https://openalex.org/W2172753644","https://openalex.org/W54172855","https://openalex.org/W2170209930","https://openalex.org/W2046782623"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"GSCore,":[3,77],"a":[4,81,90,108,119],"hardware":[5,74],"acceleration":[6],"unit":[7],"that":[8,105],"efficiently":[9],"executes":[10],"the":[11,24,41,73,87,114],"rendering":[12,34],"pipeline":[13],"of":[14,30,64,76,92],"3D":[15],"Gaussian":[16,54],"Splatting":[17],"with":[18,69,97,118],"algorithmic":[19],"optimizations.":[20],"GSCore":[21,106],"builds":[22],"on":[23,111],"observations":[25],"from":[26],"an":[27],"in-depth":[28],"analysis":[29],"Gaussian-based":[31],"radiance":[32],"field":[33],"to":[35,43],"enhance":[36],"computational":[37],"efficiency":[38],"and":[39,60,85,94,123],"bring":[40],"technique":[42],"wide":[44],"adoption.":[45],"In":[46],"doing":[47],"so,":[48],"we":[49],"present":[50],"several":[51],"optimization":[52],"techniques,":[53],"shape-aware":[55],"intersection":[56],"test,":[57],"hierarchical":[58],"sorting,":[59],"subtile":[61],"skipping,":[62],"all":[63],"which":[65],"are":[66],"synergistically":[67],"integrated":[68],"GSCore.":[70],"We":[71],"implement":[72],"design":[75],"synthesize":[78],"it":[79],"using":[80],"commercial":[82],"28nm":[83],"technology,":[84],"evaluate":[86],"performance":[88],"across":[89],"range":[91],"synthetic":[93],"real-world":[95],"scenes":[96],"varying":[98],"image":[99],"resolutions.":[100],"Our":[101],"evaluation":[102],"results":[103],"show":[104],"achieves":[107],"15.86\u00d7":[109],"speedup":[110],"average":[112],"over":[113],"mobile":[115],"consumer":[116],"GPU":[117],"substantially":[120],"smaller":[121],"area":[122],"lower":[124],"energy":[125],"consumption.":[126]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":53},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}