TY - GEN
T1 - Ray Tracing Acceleration Through Heterogeneous Integrated Commodity Hardware
AU - Rivera-Alvarado, Ernesto
AU - Torres-Rojas, Francisco J.
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/11
Y1 - 2019/11
N2 - The ray tracing algorithm is a computationally intensive workload that has active efforts to improve its performance in the CPU and GPU architectures. In this research, we designed a specific implementation of the ray tracing algorithm for the APU architecture that has an integrated GPU and CPU in the same die. The APUs are regarded as commodity hardware. Our design uses the full internal resources of the APU to improve performance. We tested the classic and the BVH accelerated ray tracing algorithms and found that our implementation for the APU architecture bests the CPU and GPU solutions from the same price range in both cases.
AB - The ray tracing algorithm is a computationally intensive workload that has active efforts to improve its performance in the CPU and GPU architectures. In this research, we designed a specific implementation of the ray tracing algorithm for the APU architecture that has an integrated GPU and CPU in the same die. The APUs are regarded as commodity hardware. Our design uses the full internal resources of the APU to improve performance. We tested the classic and the BVH accelerated ray tracing algorithms and found that our implementation for the APU architecture bests the CPU and GPU solutions from the same price range in both cases.
KW - Accelerated processing unit
KW - Acceleration
KW - APU
KW - BVH
KW - Commodity hardware
KW - Computationally intensive workloads
KW - CPU
KW - GPU
KW - Heterogeneous computing
KW - Ray tracing
UR - https://www.scopus.com/pages/publications/85078887244
U2 - 10.1109/SCCC49216.2019.8966414
DO - 10.1109/SCCC49216.2019.8966414
M3 - Contribución a la conferencia
AN - SCOPUS:85078887244
T3 - Proceedings - International Conference of the Chilean Computer Science Society, SCCC
BT - 2019 38th International Conference of the Chilean Computer Science Society, SCCC 2019
PB - IEEE Computer Society
T2 - 38th International Conference of the Chilean Computer Science Society, SCCC 2019
Y2 - 4 November 2019 through 9 November 2019
ER -