一种高效的分布式存储并行计算机并行光线跟踪方案

W. Lefer
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引用次数: 21

摘要

光线追踪算法通过考虑多种发光效应产生高质量的图像。因此,它需要大量的计算和大的内存容量。为了显著减少合成时间,使用并联机器是一种解决方案。分布式内存并行计算机提供了一个有趣的性能/成本比,但需要分配计算和数据。本文研究了光线跟踪算法在分布式存储并行计算机上的实现。提出了一种基于数据并行化与任务并行化相结合的原始解决方案。动态负载重新分配机制使我们能够在合成阶段确保良好的负载平衡。最后给出了本系统的一些实现结果。
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 distributed memory parallel computers
The ray-tracing algorithm produces high quality images by taking multiple luminous effects into account. Hence, it requires many computations and a large memory capacity. The use of parallel machines is a solution in order to reduce significantly the synthesis time. Distributed Memory Parallel Computers offer an interesting performance/cost ratio but need to distribute computations and data. This paper is a study of the implementation of the ray-tracing algorithm on a Distributed Memory Parallel Computer. An original solution, based on the association of a data parallelism approach with a task parallelism one, is presented. A dynamic load redistribution mechanism allows us to ensure a good load balance during the synthesis phase. At the end of the paper, some results of our transputer implementation are presented.
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