Sound tracing, a 3D sound rendering technology based on ray tracing, is a very costly method for calculating sound propagation. To reduce its expense, we propose an algorithm for adjusting the depth based on frame coherence and spatial characteristics. The results of the experiment indicate that when the sound source and listener were indoors, the reflection path loss rate was 3%, the diffraction path loss rate was 15.4%, and the total frame rate increased by 6.25%. When the listener was outdoors and the sound source was indoors, the reflection path and diffraction path loss rate were 0%, and the total frame rate was increased by 33.33 compared to the conventional method. Thus, the proposed algorithm can improve rendering performance while minimizing path loss rate.

In a computing environment, higher resolutions generally require more memory bandwidth, which inevitably leads to the consumption more power. This may become critical for the overall performance of mobile devices and graphic processor units with increased amounts of memory access and memory bandwidth. This paper proposes a lossless compression algorithm with a multiple differential pulse-code modulation variable sign code Golomb-Rice to reduce the memory bandwidth requirement. The efficiency of the proposed multiple differential pulse-code modulation is enhanced by selecting the optimal differential pulse code modulation mode. The experimental results show compression ratio of 1.99 for high-efficiency video coding image sequences and that the proposed lossless compression hardware can reduce the bus bandwidth requirement.