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.

Ultrafast ray tracing for electromagnetics via kD-tree and BVH on GPU / Breglia, Alfonso; Capozzoli, Amedeo; Curcio, Claudio; Liseno, Angelo. - (2015), pp. 1-2. (Intervento presentato al convegno 31st International Annual Review of Progress in Applied Computational Electromagnetics tenutosi a Williamsburg (West Virginia, USA) nel March 22, 2015).

Ultrafast ray tracing for electromagnetics via kD-tree and BVH on GPU

BREGLIA, ALFONSO;CAPOZZOLI, AMEDEO;CURCIO, CLAUDIO;LISENO, ANGELO
2015

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.
2015
978-0-9960-0781-8
978-1-4799-8988-1
Ultrafast ray tracing for electromagnetics via kD-tree and BVH on GPU / Breglia, Alfonso; Capozzoli, Amedeo; Curcio, Claudio; Liseno, Angelo. - (2015), pp. 1-2. (Intervento presentato al convegno 31st International Annual Review of Progress in Applied Computational Electromagnetics tenutosi a Williamsburg (West Virginia, USA) nel March 22, 2015).
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/656005
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 9
  • ???jsp.display-item.citation.isi??? 0
social impact