Energy and power estimation of Coarse-Grain Reconfigurable Array based Fast Fourier Transform accelerators

In recent past, we developed 4×8 and 4×16 processing element (PE) template-based Coarse-Grain Reconfigurable Arrays (CGRAs) and mapped different length and type of Fast Fourier Transform (FFT) algorithms on them. In this paper, we have considered radix-4 and radix-(2, 4) FFT accelerators which were generated from 4 × 8 and 4 × 16 PE CGRA templates respectively. We estimated their power and energy consumption while radix-4 accelerator was processing 64 and 1024 points and radix-(2, 4) accelerator was processing 64 and 128 points of FFT algorithms. The power consumption was estimated by timing simulation of postfit gate-level netlist of both of the accelerators for a Field Programmable Gate Array (FPGA) used as target platform. Based on the measurements, we have compared both of the accelerators for their power and energy consumption.