{"id":"https://openalex.org/W6945121677","doi":"https://doi.org/10.2312/eggh/hpg10/001-009","title":"Hardware Implementation of Micropolygon Rasterization with Motion and Defocus Blur","display_name":"Hardware Implementation of Micropolygon Rasterization with Motion and Defocus Blur","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W6945121677","doi":"https://doi.org/10.2312/eggh/hpg10/001-009"},"language":"en","primary_location":{"id":"doi:10.2312/eggh/hpg10/001-009","is_oa":true,"landing_page_url":"https://doi.org/10.2312/eggh/hpg10/001-009","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"type":"other","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/eggh/hpg10/001-009","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Brunhaver, John S.","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Brunhaver, John S.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Fatahalian, Kayvon","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fatahalian, Kayvon","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Hanrahan, Pat","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hanrahan, Pat","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/motion-blur","display_name":"Motion blur","score":0.5837000012397766},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5048999786376953},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4977000057697296},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.4896000027656555},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.41110000014305115},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.3700000047683716}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8366000056266785},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.6294999718666077},{"id":"https://openalex.org/C2777708103","wikidata":"https://www.wikidata.org/wiki/Q852589","display_name":"Motion blur","level":3,"score":0.5837000012397766},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5105000138282776},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5048999786376953},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4977000057697296},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4961000084877014},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.4896000027656555},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.4311999976634979},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.41110000014305115},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3700000047683716},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.2946000099182129},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.2624000012874603},{"id":"https://openalex.org/C2779020251","wikidata":"https://www.wikidata.org/wiki/Q3555171","display_name":"Motion vector","level":3,"score":0.25429999828338623}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2312/eggh/hpg10/001-009","is_oa":true,"landing_page_url":"https://doi.org/10.2312/eggh/hpg10/001-009","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"doi:10.2312/eggh/hpg10/001-009","is_oa":true,"landing_page_url":"https://doi.org/10.2312/eggh/hpg10/001-009","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.7601815462112427}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Current":[0],"GPUs":[1],"rasterize":[2],"micropolygons":[3,48,59,117],"(polygons":[4],"approximately":[5],"one":[6],"pixel":[7],"in":[8,93,100],"size)":[9],"inefficiently.":[10],"Additionally,":[11],"they":[12],"do":[13],"not":[14,51],"natively":[15],"support":[16],"triangle":[17,47],"rasterization":[18,34,41,57,109],"with":[19,60,111],"jittered":[20],"sampling,":[21],"defocus,":[22],"or":[23],"motion":[24,61],"blur.":[25],"We":[26,38,95],"perform":[27],"a":[28,53,69,101,107,112,137],"microarchitectural":[29],"study":[30],"of":[31,58,72,90,114,132,136],"fixed-function":[32],"micropolygon":[33,108],"using":[35,84],"custom":[36],"circuits.":[37],"present":[39],"three":[40],"designs:":[42],"the":[43,73,133],"first":[44],"optimized":[45,97],"for":[46,55],"that":[49,67,106],"are":[50],"blurred,":[52],"second":[54,119],"stochastic":[56],"and":[62,65,80,87,124],"defocus":[63],"blur,":[64],"third":[66],"is":[68,129],"hybrid":[70],"combination":[71],"two.":[74],"Our":[75],"designs":[76,98],"achieve":[77],"high":[78],"area":[79,135],"power":[81],"efficiency":[82],"by":[83],"low-precision":[85],"operations":[86],"rasterizing":[88],"pairs":[89],"adjacent":[91],"triangles":[92],"parallel.":[94],"demonstrate":[96],"synthesized":[99],"45":[102],"nm":[103],"process":[104],"showing":[105],"unit":[110],"throughput":[113],"3":[115],"billion":[116],"per":[118],"would":[120],"consume":[121],"2.9":[122],"W":[123],"occupy":[125],"4.1":[126],"mm2":[127],"which":[128],"0.77":[130],"percent":[131],"die":[134],"GeForce":[138],"GTX":[139],"480":[140],"GPU.":[141]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2025-10-10T00:00:00"}
