移动计算平台上实时光线追踪的延迟容忍技术

Youngsam Shin, S. Hwang, J. D. Lee, Won-Jong Lee, Soojung Ryu
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引用次数: 0

摘要

本文针对移动设备上的实时光线跟踪,提出了一种有效的光线调度算法和非块缓存架构来隐藏主存访问延迟。本文首先通过分析光线追踪系统的内存访问模式,分析了内存延迟的影响,并提出了一种新的光线追踪硬件引擎的非块管道反馈和缓存架构的光线调度方法。为了获得更高的缓存效率,我们还提出了一种场景几何图形的内存高效编码方案。为了评估我们的方法,我们在FPGA平台上使用我们的方法实现了一个原型光线追踪架构。实验结果表明,我们的方法平均性能节约了85%,平均性能提高了2.4倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Latency tolerance techniques for real-time ray tracing on mobile computing platform
In this paper, we propose an efficient ray scheduling algorithm and non-block cache architecture to hiding main-memory access latency targeting real-time ray tracing on mobile device. We first analyze on the impact of a memory latency by analyzing the memory access patterns for a ray tracing system and present a novel ray scheduling method using a non-block pipeline feedback and cache architecture for ray tracing hardware engine. To achieve more cache efficiency, we also present a memory-efficient encoding scheme for the scene geometry. For an evaluation of our approach, we implemented a prototype ray tracing architecture using our approach on an FPGA platform. Our experimental results indicate that our approach shows that an average performance conservation of 85% and an average performance improves of 2.4 times.
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