TY - GEN
T1 - Nonlinear spatio-temporal wave computing for real-time applications on GPU
AU - Tükel, Mehmet
AU - Yeniçeri, Ramazan
AU - Yalçin, Müştak E.
PY - 2012
Y1 - 2012
N2 - In this work, active wave simulation on Cellular Nonlinear Network was computed for path planning on the GPU of a NVIDIA GTX275 video card. In software part, QtOpenCL, which is a wrapper library of OpenCL, was used to make code portable for systems with different GPUs. We achieved promising results comparing to results achieved by both CPU and FPGA. We have implemented different hardware and software solutions to path planning problem for 2-D media in real-time. They were almost at limit of real-time requirements because of some bottlenecks such as low communication bandwidth and low resolution of network. In this work, by utilizing GPUs, we performed 60000 iterations per second for simulation of 128x128 node network while we achieved at most 35 iterations per second with software on an Intel Core 2 Duo P8700 processor. We also achieved 36 iterations per second for 3-D active wave simulation of a 256 x 256 x 256 network on GPU.
AB - In this work, active wave simulation on Cellular Nonlinear Network was computed for path planning on the GPU of a NVIDIA GTX275 video card. In software part, QtOpenCL, which is a wrapper library of OpenCL, was used to make code portable for systems with different GPUs. We achieved promising results comparing to results achieved by both CPU and FPGA. We have implemented different hardware and software solutions to path planning problem for 2-D media in real-time. They were almost at limit of real-time requirements because of some bottlenecks such as low communication bandwidth and low resolution of network. In this work, by utilizing GPUs, we performed 60000 iterations per second for simulation of 128x128 node network while we achieved at most 35 iterations per second with software on an Intel Core 2 Duo P8700 processor. We also achieved 36 iterations per second for 3-D active wave simulation of a 256 x 256 x 256 network on GPU.
UR - http://www.scopus.com/inward/record.url?scp=84870753965&partnerID=8YFLogxK
U2 - 10.1109/CNNA.2012.6331419
DO - 10.1109/CNNA.2012.6331419
M3 - Conference contribution
AN - SCOPUS:84870753965
SN - 9781467302890
T3 - International Workshop on Cellular Nanoscale Networks and their Applications
BT - 2012 13th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2012
T2 - 2012 13th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2012
Y2 - 29 August 2012 through 29 August 2012
ER -