Research and implementation of a high performance parallel computing digital down converter on graphics processing unit

Abstract

Summary Digital down converter (DDC) is a time‐intensive and data‐intensive computing task and considered as the key technology in software defined radio. This paper proposes a high‐performance implementation of DDC on a graphics processing unit (GPU) using CUDA, which is composed of a numerically controlled oscillator stage, a cascaded integrator‐comb (CIC) decimation filter stage, and a finite impulse response (FIR) filter stage. The GPU implementation and optimizing of all the stages are studied in detail. Additionally, for handling a long‐duration signal, the signal data sequence is truncated into segments; the overlap‐save and overlap‐add mechanisms were applied in CIC stage and FIR stage, respectively. Finally, experiments were conducted to evaluate the performance of GPU‐based DDC with respect to a sequential version CPU implementation and an OpenMP implementation (16 threads). Experimental results demonstrate that the DDC achieves significant improvements on the GPU; the maximum speed ups in numerically controlled oscillator stage, CIC stage, and FIR stage can achieve more than 1242, 527, and 179 times, including data‐transfer, kernel execution, and other processing operations; the overall speed up of DDC can achieve more than 180. In the meantime, the speed ups of GPU implementation are far above the OpenMP implementation (about 2.5‐6.4 times).

Design and implementation of real‐time wideband software‐defined radio applications with GPGPUs

“…In this study, the DDC process is examined in detail in the graphic processor; NCO, CIC, and finite impulse response (FIR) filtering process steps are mentioned . It is aimed to achieve large length data from small length data by segmenting CIC and FIR filtering operations.…”

“…Other than comparison with parallel CPU versions, we also compared our results to the paper that has the best results using DDC algorithm, which is Shaoi's work. In that work, The performance of our proposed DDC algorithm with respect to Shaoi's performance results 14 the author used NVIDIA Tesla K40 that has 2496 CUDA Cores for DDC algorithm. We use NVIDIA Quadro 1280 CUDA Cores as the most powerful GPUs.…”