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Distributing data and control for ray tracing in parallel

机译:并行分发数据和控制光线追踪

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We first briefly describe the methodology of programming ray-tracing algorithms on distributed-memory parallel computers, or DMPCs, and review previous efforts to overcome the problems of data distribution and load balancing. Then we present two algorithms designed for DMPCs and implemented on an Intel iPSC/2. We also compare the results of our experiments with them. The first algorithm, a data-oriented parallel implementation based on message passing, demonstrates how complex designing a parallel ray-tracing algorithm can be. The second algorithm shows how we can eliminate some complexity using a control-oriented parallel approach and a shared virtual memory.
机译:我们首先简要描述在分布式内存并行计算机或DMPC上对光线跟踪算法进行编程的方法,并回顾一下以前为克服数据分发和负载平衡问题而做出的努力。然后,我们介绍了两种针对DMPC设计并在Intel iPSC / 2上实现的算法。我们还将实验结果与它们进行比较。第一种算法是基于消息传递的面向数据的并行实现,它演示了并行光线跟踪算法的设计有多么复杂。第二种算法显示了如何使用面向控制的并行方法和共享的虚拟内存来消除某些复杂性。

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