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        "type_id": "masterthesis",
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        "repositum_id": "20.500.12708/15010",
        "title": "FPGARay: Accelerating Physically Based Rendering Using FPGAs",
        "date": "2020-06-30",
        "abstract": "The synthesis of an image from a scene stored on a computer is called rendering, which is able to deliver photo-realistic results, e.g., by using specific variants of the class of ray tracing\nalgorithms. However, these variants (e.g., path tracing) possess a stochastic characteristic which results in a high computational expense. This is explained by the nature of stochastic algorithms, which use a high number of samples to compute a result—in case of ray tracing, these samples manifest in a high number of rays needed for a complete rendering.\n\nOne possibility to accelerate ray tracing—no matter if using a stochastic or simpler variants—is the use of customized hardware. FPGRay is such an approach, which combines the use of customized hardware with the software of an off-the-shelf PC to a hybrid solution. This allows increasing the efficiency by specialized hardware and delivers a sustainability in case of changing algorithms at the same time.\n\nThe results point towards a possible efficiency gain. Unfortunately, in the scope of this thesis this was not realizable and the specific implementation showed a lower efficiency compared to the software implementation. Nevertheless, the possibility to achieve a higher efficiency with this approach by indicating FPGRay’s potential could be shown.",
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        "authors": [
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        "date_end": "2020-06-30",
        "date_start": "2017-03-16",
        "diploma_examina": "2020-06-30",
        "doi": "10.34726/hss.2020.45543",
        "matrikelnr": "01125076",
        "open_access": "yes",
        "pages": "121",
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            "FPGA",
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