Visible to the public Adaptive Multi-rate Ray Sampling on Mobile Ray Tracing GPU

TitleAdaptive Multi-rate Ray Sampling on Mobile Ray Tracing GPU
Publication TypeConference Paper
Year of Publication2016
AuthorsLee, Won-Jong, Hwang, Seok Joong, Shin, Youngsam, Ryu, Soojung, Ihm, Insung
Conference NameSIGGRAPH ASIA 2016 Mobile Graphics and Interactive Applications
Conference LocationNew York, NY, USA
ISBN Number978-1-4503-4551-4
Keywordsadaptive filtering, GPU, low-power, mobile, pubcrawl, ray tracing, resampling, Resiliency, scalabilty
AbstractWe present an adaptive multi-rate ray sampling algorithm targeting mobile ray-tracing GPUs. We efficiently combine two existing algorithms, adaptive supersampling and undersampling, into a single framework targeting ray-tracing GPUs and extend it to a new multi-rate sampling scheme by utilizing tile-based rendering and frame-to-frame coherency. The experimental results show that our implementation is a versatile solution for future ray-tracing GPUs as it provides up to 2.98 times better efficiency in terms of performance per Watt by reducing the number of rays to be fed into the dedicated hardware and minimizing the memory operations.
Citation Keylee_adaptive_2016