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[{"key": "dc.contributor.advisor", "value": "M\u00f6nk\u00f6l\u00e4, Sanna", "language": "", "element": "contributor", "qualifier": "advisor", "schema": "dc"}, {"key": "dc.contributor.advisor", "value": "Rossi, Tuomo", "language": "", "element": "contributor", "qualifier": "advisor", "schema": "dc"}, {"key": "dc.contributor.author", "value": "Varjus, Tuukka", "language": "", "element": "contributor", "qualifier": "author", "schema": "dc"}, {"key": "dc.date.accessioned", "value": "2023-06-14T07:25:57Z", "language": null, "element": "date", "qualifier": "accessioned", "schema": "dc"}, {"key": "dc.date.available", "value": "2023-06-14T07:25:57Z", "language": null, "element": "date", "qualifier": "available", "schema": "dc"}, {"key": "dc.date.issued", "value": "2023", "language": "", "element": "date", "qualifier": "issued", "schema": "dc"}, {"key": "dc.identifier.uri", "value": "https://jyx.jyu.fi/handle/123456789/87745", "language": null, "element": "identifier", "qualifier": "uri", "schema": "dc"}, {"key": "dc.description.abstract", "value": "NVIDIA:n esitelless\u00e4 maailman ensimm\u00e4iset laitteistokiihdytteist\u00e4 s\u00e4teenseurantaa tukevat Turing-arkkitehtuurin n\u00e4yt\u00f6nohjaimet vuonna 2018, mahdollisti se s\u00e4teenseurannan hy\u00f6dynt\u00e4misen reaaliaikaisessa render\u00f6inniss\u00e4. S\u00e4teenseurannan ollessa tunnetusti laskennallisesti hyvinkin raskas verrattuna esimerkiksi rasterointiin, on tutkielman tarkoitus selvitt\u00e4\u00e4 miss\u00e4 m\u00e4\u00e4rin ja mill\u00e4 menetelmin ja tavoin s\u00e4teenseurantaa kyet\u00e4\u00e4n hy\u00f6dynt\u00e4m\u00e4\u00e4n reaaliaikaisessa render\u00f6inniss\u00e4 ja mit\u00e4 haasteita siihen liittyy. S\u00e4teenseurannan suorituskyvyn esittelemiseksi tutkielman empiirisess\u00e4 osiossa arvioitiin s\u00e4teenseurannan suorituskyky\u00e4 ja siihen vaikuttavia tekij\u00f6it\u00e4 NVIDIA:n Turing-arkkitehtuurin n\u00e4yt\u00f6nohjaimella. Varsinaisia menetelmi\u00e4 ja tapoja laitteistokiihdytteisen s\u00e4teenseurannan hy\u00f6dynt\u00e4miseen ja siihen liittyvi\u00e4 haasteita tarkasteltiin, niin nykyisiss\u00e4 videopeleiss\u00e4 perustuen p\u00e4\u00e4s\u00e4\u00e4nt\u00f6isesti GDC konferenssitallenteisiin, kuin my\u00f6s kirjallisuuskatsauksen avulla. Videopeleiss\u00e4 s\u00e4teenseurannan laskennallinen vaativuus n\u00e4kyy rasteroinnin s\u00e4ilymisen\u00e4 p\u00e4\u00e4tekniikkana render\u00f6inniss\u00e4 s\u00e4teenseurannan t\u00e4ydent\u00e4ess\u00e4 valittujen valon ilmenemismuotojen kuvaamista. Kirjallisuuskatsauksessa tutkimuksen havaittiin p\u00e4\u00e4s\u00e4\u00e4nt\u00f6isesti keskittyv\u00e4n n\u00e4ytteiden tehokkaaseen hy\u00f6dynt\u00e4miseen ja h\u00e4iri\u00f6npoistoon, joihin lukeutuvia menetelmi\u00e4 tutkielmassa tarkemmin esitell\u00e4\u00e4n. Merkitt\u00e4vimpin\u00e4 havaittuina haasteina voidaan pit\u00e4\u00e4 monivalo-ongelmaa, sek\u00e4 menetelmien ajallista vakautta ja harhattomuutta.", "language": "fi", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.abstract", "value": "Since 2018 when NVIDIA introduced the world's first GPUs supporting hardware accelerated ray tracing, ray tracing has become available in real-time rendering. As ray tracing is known for its computational complexity, the purpose of this study is to introduce methods and ways to utilize ray tracing in real-time rendering, as well related notable challenges. To introduce the performance of hardware accelerated ray tracing and to study performance affecting factors more closely, empirical study using NVIDIA Turing architecture GPU was conducted. The methods and ways to utilize ray tracing in real-time rendering and related challenges were explored through literature review and through studying ray tracing usage in current video games mainly by reviewing GDC presentations. In reviewed video games the computational complexity of ray tracing was seen as usage of rasterization as primary rendering technique, whereas ray tracing was used for complementing selected effects. In literature review the research around real-time ray tracing was seen as mostly focusing on efficient sampling and denoising techniques, which are introduced in detail in this study. The most notable challenges detected in real-time ray tracing are many-lights problem and temporal stability and unbiasedness of used techniques.", "language": "en", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Submitted by Paivi Vuorio (paelvuor@jyu.fi) on 2023-06-14T07:25:57Z\nNo. of bitstreams: 0", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Made available in DSpace on 2023-06-14T07:25:57Z (GMT). No. of bitstreams: 0\n Previous issue date: 2023", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.format.extent", "value": "167", "language": "", "element": "format", "qualifier": "extent", "schema": "dc"}, {"key": "dc.language.iso", "value": "fin", "language": null, "element": "language", "qualifier": "iso", "schema": "dc"}, {"key": "dc.rights", "value": "In Copyright", "language": null, "element": "rights", "qualifier": null, "schema": "dc"}, {"key": "dc.subject.other", "value": "s\u00e4teenseuranta", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "polunseuranta", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "Turing-arkkitehtuuri", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "Monte Carlo -integrointi", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "h\u00e4iri\u00f6npoisto", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "Vulkan API", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "render\u00f6inti", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "rasterointi", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "laitteistokiihdytys", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.title", "value": "Laitteistokiihdytteisen s\u00e4teenseurannan hy\u00f6dynt\u00e4minen reaaliaikaisessa render\u00f6inniss\u00e4", "language": "", "element": "title", "qualifier": null, "schema": "dc"}, {"key": "dc.type", "value": "master thesis", "language": null, "element": "type", "qualifier": null, "schema": "dc"}, {"key": "dc.identifier.urn", "value": "URN:NBN:fi:jyu-202306143813", "language": "", "element": "identifier", "qualifier": "urn", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Master\u2019s thesis", "language": "en", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Pro gradu -tutkielma", "language": "fi", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Informaatioteknologian tiedekunta", "language": "fi", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Faculty of Information Technology", "language": "en", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Informaatioteknologia", "language": "fi", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Information Technology", "language": "en", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "Jyv\u00e4skyl\u00e4n yliopisto", "language": "fi", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "University of Jyv\u00e4skyl\u00e4", "language": "en", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Tietotekniikka", "language": "fi", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Mathematical Information Technology", "language": "en", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "yvv.contractresearch.funding", "value": "0", "language": "", "element": "contractresearch", "qualifier": "funding", "schema": "yvv"}, {"key": "dc.type.coar", "value": "http://purl.org/coar/resource_type/c_bdcc", "language": null, "element": "type", "qualifier": "coar", "schema": "dc"}, {"key": "dc.rights.copyright", "value": "\u00a9 The Author(s)", "language": null, "element": "rights", "qualifier": "copyright", "schema": "dc"}, {"key": "dc.rights.accesslevel", "value": "openAccess", "language": null, "element": "rights", "qualifier": "accesslevel", "schema": "dc"}, {"key": "dc.type.publication", "value": "masterThesis", "language": null, "element": "type", "qualifier": "publication", "schema": "dc"}, {"key": "dc.subject.oppiainekoodi", "value": "602", "language": "", "element": "subject", "qualifier": "oppiainekoodi", "schema": "dc"}, {"key": "dc.subject.yso", "value": "teko\u00e4ly", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.rights.url", "value": "https://rightsstatements.org/page/InC/1.0/", "language": null, "element": "rights", "qualifier": "url", "schema": "dc"}]
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