In order to solve problems of long encoding time and high hardware accelerat ion resource occupancy rate caused by the advanced residual prediction (ARP) algorithm which does not make f ull use of the data characteristics of depth map in three-dimensional high efficiency video coding (3D-HEVC),a fast ARP selection algorithm based on reconfigurable hardware implementation is proposed.Firstly,the depth map is di vided into three regions according to its data characteristics,and then the threshold is set to select the advanced resid ual prediction algorithm in different regions quickly,so as to reduce the coding time.The experimental results show that com pared with the standard platform HTM16.1,the fast selection algorithm reduces t he encoding time by 8.10% when the average peak signal to noise ratio (PSNR) loss is only 0.019dB.Finally,the dynamic programmable recon figurable array processor (DPRAP) is used to accelerate the ARP fast selection algorithm in parallel,and then a reconfigurab le implementation scheme is proposed based on the reconfiguration mechanism of the array processor,so as to accelera te the algorithm and reduce the hardware resource occupancy.The experimental results show that compared with the paralle l scheme,the total number of the process element (PE) and instructions are respectively reduced by 50% and 33.23%,and the average speedup is 1.9.The algorithm before and after optimization is compared with disparity estimation,a nd the average speedup is 2.5.Therefore, this study has a certain reference value for real-time video coding of 3D-HEVC algorithm.