Refined model and dynamic time-history analysis have been deemed as a promising way to improve the accuracy of seismic damage prediction in urban city.However the high cost of traditional CPU computing platform hinders the extensive use of this method.In order to solve this problem,the GPU/CPU cooperative coarse-grained parallel computing approach,featured in high efficiency and low cost,is adopted to realize the regional seismic damage prediction with dynamic time-history analysis and refined structural model.This paper introduces the program architecture,calculation model and the parameters selection of the proposed method.The efficiency is discussed in detail and the method is implemented to a mid-size city,by which the advantages of this method are demonstrated.