Shkurko, KonstantinGrant, TimKopta, DanielMallett, IanYuksel, CemBrunvand, ErikVlastimil Havran and Karthik Vaiyanathan2017-12-062017-12-062017978-1-4503-5101-02079-8679https://doi.org/10.1145/3105762.3105771https://diglib.eg.org:443/handle/10.1145/3105762-3105771Hardware 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.Computer systems organizationMultiple instructionmultiple dataComputing methodologiesGraphics processorsRay tracingRaytracing hardware10.1145/3105762.3105771