一种用于高度并行体系结构的高效并行光线跟踪方案

D. Badouel, T. Priol
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引用次数: 37

摘要

计算机生成的逼真图像需要大量的计算量和较大的存储容量。使用高度并行的计算机可以使这个过程执行得更快。分布式内存并行计算机(dmpc),如超立方体或基于转发器的机器,在平衡了负载平衡并执行了数据域的分区后,提供了具有吸引力的性能/成本比。本文提出了一种基于共享虚拟内存(SVM)的DMPC并行光线跟踪算法,解决了这两个经典问题。该算法在超立方体iPSC/2上实现,并给出了结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Efficient Parallel Ray Tracing Scheme for Highly Parallel Architectures
The production of realistic image generated by computer requires a huge amount of computation and a large memory capacity. The use of highly parallel computers allows this process to be performed faster. Distributed memory parallel computers (DMPCs), such as hypercubes or transputer-based machines, offer an attractive performance/cost ratio when the load balancing has been balance and the partition of the data domain has been performed. This paper presents a parallel ray tracing algorithm for DMPC using a Shared Virtual Memory (SVM) which solves these two classical problems. This algorithm has been implemented on a hypercube iPSC/2 and results are given.
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