Аbstract—This article describes the technologies of parallel processing of ray tracing using central processing unit (CPU) and graphics processing unit (GPU). The one problem of parallel processing of ray tracing is imbalance among the pixels computation which leads to performance degradation. A serious disadvantage of ray tracing is performance. Other algorithms use data coherence to share computations between pixels, while ray tracing normally starts the process anew, treating each eye ray separately. However, this separation offers other advantages, such as the ability to shoot more rays as needed to perform spatial anti-aliasing and improve image quality where needed. There are some problems with the possibility of realization of the parallel processing of ray tracing in stream processing on multicore processors with the required acceleration. 
 

Index Terms—ray tracing, parallel processing, acceleration, dynamic pipelining, the workload balancing, CUDA

Cite: Mekhriddin Rakhimov Fazliddinovich and Yalew Kidane Tolcha, "Parallel Processing of Ray Tracing on GPU with Dynamic Pipelining," International Journal of Signal Processing Systems, Vol. 4, No. 3, pp. 209-213, June 2016. doi: 10.18178/ijsps.4.3.209-213