Non-Uniform DFT Implementation for Channel Simulations in GPU
被引:0
|
作者:
Natarajan, Karthikeyan
论文数: 0引用数: 0
h-index: 0
机构:
IIT Madras, Dept Elect Engn, Chennai, Tamil Nadu, IndiaIIT Madras, Dept Elect Engn, Chennai, Tamil Nadu, India
Natarajan, Karthikeyan
[1
]
Chandrachoodan, Nitin
论文数: 0引用数: 0
h-index: 0
机构:
IIT Madras, Dept Elect Engn, Chennai, Tamil Nadu, IndiaIIT Madras, Dept Elect Engn, Chennai, Tamil Nadu, India
Chandrachoodan, Nitin
[1
]
机构:
[1] IIT Madras, Dept Elect Engn, Chennai, Tamil Nadu, India
来源:
2015 TWENTY FIRST NATIONAL CONFERENCE ON COMMUNICATIONS (NCC)
|
2015年
关键词:
NDFT;
CUDA;
GPGPU;
Channel Simulation;
OFDM;
D O I:
暂无
中图分类号:
TM [电工技术];
TN [电子技术、通信技术];
学科分类号:
0808 ;
0809 ;
摘要:
Channel simulation in wireless link-level OFDM network simulators involves a computationally intensive non-uniform discrete Fourier transform. In this paper, we propose a parallel scan based method to speed up this computation in GPU without restricting the scope of the simulations. We further utilize the DFT properties in scan method to reduce register usage and hence the computation overhead of sine and cosine values. This technique is compared against a method that saves computation by using uniform power delay profiles at the cost of generality, and we show that the performance is competitive. For single DFT, up to 19x speedup over a CPU implementation is observed using the scan based approach. For a simulation with 512 channels and a 1024 point DFT, the scan method gives a speedup of 141x with respect to the CPU, which compares favourably to the more restrictive uniform PDP method.