Dual streaming for hardware-accelerated Ray Tracing

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Title Dual streaming for hardware-accelerated Ray Tracing
Publication Type dissertation
School or College College of Engineering
Department Computing
Author Shkurko, Konstantin
Date 2019
Description Hardware acceleration for ray tracing has been a topic of great interest in computer graphics. However, even with proposed custom hardware, the inherent irregularity in the memory access pattern of ray tracing has limited its performance, compared with rasterization on commercial GPUs. We provide a different approach to hardware-accelerated ray tracing, beginning with modifying the order of rendering operations, inspired by the streaming character of rasterization. Our dual streaming approach organizes the memory access of ray tracing into two predictable data streams. The predictability of these streams allows perfect prefetching and makes the memory access pattern an excellent match for the behavior of DRAM memory systems. By reformulating ray tracing as fully predictable streams of rays and of geometry we alleviate many long-standing problems of high-performance ray tracing and expose new opportunities for future research. Therefore, we also include extensive discussions of potential avenues for future research aimed at improving the performance of hardware-accelerated ray tracing using dual streaming.
Type Text
Publisher University of Utah
Dissertation Name Doctor of Philosophy
Language eng
Rights Management (c) Konstantin Shkurko
Format application/pdf
Format Medium application/pdf
ARK ark:/87278/s6pw2mpv
Setname ir_etd
ID 1714244
Reference URL https://collections.lib.utah.edu/ark:/87278/s6pw2mpv