Title :
Ultrafast ray tracing for electromagnetics via kD-tree and BVH on GPU
Author :
Breglia, Alfonso ; Capozzoli, Amedeo ; Curcio, Claudio ; Liseno, Angelo
Author_Institution :
Dipt. di Ing. Elettr. e delle Tecnol. dell´lnformazione, Univ. di Napoli Federico II, Naples, Italy
Abstract :
We discuss the performance of two acceleration data structures for electromagnetic ray-tracing on GPU using the CUDA language, namely the kD-tree and the SBVH. Our implementations have been based on the approach by NVIDIA which accounts for the programming optimizations possible for the latest version of CUDA and NVIDIA GPU architectures.
Keywords :
data structures; electrical engineering computing; electromagnetic wave propagation; graphics processing units; optimisation; parallel architectures; ray tracing; BVH; CUDA language; NVIDIA GPU architecture; SBVH; acceleration data structure; electromagnetic ray-tracing; kD-tree; programming optimization; ultrafast ray tracing; Data structures; Electromagnetic scattering; Electromagnetics; Graphics processing units; Programming; Ray tracing; Receivers; BVH; Geometrical Optics; Ray Tracing; kD-tree;
Conference_Titel :
Applied Computational Electromagnetics (ACES), 2015 31st International Review of Progress in
Conference_Location :
Williamsburg, VA
