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Cache-aware volume rendering methods with dynamic data reorganization
Journal of Visualization ( IF 1.7 ) Pub Date : 2021-02-09 , DOI: 10.1007/s12650-020-00712-4
Ruiyun Zhu , Yuji Misaki , Marcus Walldén , Fumihiko Ino

Abstract

 We present two cache-aware methods for accelerating volume rendering on graphics processing units (GPUs). The proposed methods extend a previous method such that they improve the worst frame rate typically observed at oblique viewing angles. The key technique for realizing this extension is a dynamic reorganization of the volume data that improves the data locality based on the expected data access pattern. The proposed methods are: (1) a basic method which requires three times the amount of memory to store the volume and (2) an adaptive method which utilizes on-the-fly data reorganization to achieve similar performance without increasing the memory consumption. Experimental results indicate that the GPU texture cache hit rate increased from 58.8 to 71.8% for oblique viewing angles using a 1 GB data set, compared to the previous method. Furthermore, the maximum speedup of the proposed adaptive method was 3.6\(\times\) that of the previous method.

Graphical Abstract



中文翻译:

具有动态数据重组的缓存感知卷渲染方法

摘要

 我们提出了两种可在图形处理单元(GPU)上加速体绘制的缓存感知方法。所提出的方法扩展了先前的方法,使得它们改善了通常在倾斜视角下观察到的最差帧速率。实现此扩展的关键技术是对卷数据进行动态重组,从而根据预期的数据访问模式来改善数据局部性。所提出的方法是:(1)一种基本方法,该方法需要三倍的内存量来存储该卷,以及(2)一种自适应方法,该方法利用即时数据重组来实现类似的性能而又不增加内存消耗。实验结果表明,与以前的方法相比,使用1 GB数据集的倾斜视角的GPU纹理缓存命中率从58.8增加到71.8%。\(\ times \)以前方法的值。

图形概要

更新日期:2021-02-09
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