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Forward-projection is an important process of computed tomography reconstruction. An accurate forward-projection has a significant impact on increasing the reconstructed quality of iterative algorithms. However its computations are very costly. In order to improve performance of forward-projection, we proposed a GPU-accelerated scheme for it with a new sampling method. There are two novel techniques in our accelerating scheme. One is parallel strategy based on view angles to project volume at different view angles simultaneously, the other is distance-based sampling manner in volume to make full use of texture cache. A number of experiments were performed to verify the proposed algorithm and the results show that this method is accurate and efficient.