Implementation of Dividing Cubes Algorithm Based on CUDA

In traditional Dividing Cubes algorithm,voxels are divided into many small elements in one time which bring a large number of calculations.Therefore,a progressive subdivision is proposed to reduce calculations.In the meanwhile,the algorithm is transplanted into GPU, and implemented based on CUDA. The kernel, thread organization and memory allocation is also designed.Experimental results show that almost 10 times speedup is reached by using GPU's parallel acceleration capacity.