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Ray-casting algorithm and its considerations for parallel processing optimization techniques for parallel ray-casting algorithm

机译：光线投射算法及其对并行光线投射算法的并行处理优化技术的考虑

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This paper presents the considerations for improving the processing speed of ray-casting algorithm, which is widely used to visualize medical images, by using a parallel processing unit. The most important considerations are to exploit memory bandwidth and to maintain high occupancy. To improve memory bandwidth, cache-hit-rate should be kept high. For that, z-order cache is applied to data-load-operations and data-store-patterns are arranged to be coalesced. The tasks of the ray-casting algorithm are equally distributed into the cores of a parallel processing unit to achieve high occupancy. Furthermore, an interpolation process, which is frequently used in the sampling step of the ray-casting algorithm and has high complexity, is implemented to hardwired logic to improve processing speed. As a result of these optimizations, the processing speed was improved over four hundred times than the ray-casting algorithm without optimization.
机译：本文提出了使用并行处理单元提高射线投射算法的处理速度的注意事项，该算法广泛用于医学图像的可视化。最重要的考虑因素是利用内存带宽并保持较高的占用率。为了提高内存带宽，应保持较高的高速缓存命中率。为此，将z阶高速缓存应用于数据加载操作，并安排将数据存储模式合并。光线投射算法的任务平均分配到并行处理单元的核心中，以实现较高的占用率。此外，对硬连线逻辑实施插值处理，该插值处理在射线广播算法的采样步骤中经常使用并且具有高复杂度，以提高处理速度。这些优化的结果是，与没有优化的光线投射算法相比，处理速度提高了四百倍。

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