基于粗粒度可重构处理器的实时光线追踪

J. D. Lee, Youngsam Shin, Won-Jong Lee, Soojung Ryu, Jeongwook Kim
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引用次数: 21

摘要

光线追踪是一种通过模拟光的路径来生成图像的3D渲染方法。它可以生成高质量的图像,但需要强大的计算能力。光线追踪技术的最新进展使现代桌面cpu / gpu上的实时光线追踪成为可能。但在当前的移动环境下,由于移动gpu的计算能力、内存带宽和灵活性不足,实现这一目标非常困难。本文提出了一种基于三星可重构处理器(SRP)的移动光线追踪系统。SRP体系结构包括一个紧密耦合的甚长指令字(VLIW)引擎和粗粒度可重构阵列(CGRA)。VLIW引擎是为通用计算(如函数调用和分支选择)而设计的,粗粒度可重构数组专门用于程序的数据密集型部分,并且可以动态配置。提出了基于迭代批处理的SRP光线跟踪算法,并利用本地存储器和数据缓存优化了内存带宽。我们的光线追踪系统是在商业的基于fpga的原型系统上实现的。实验结果表明,该系统适用于移动光线跟踪。
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Real-time ray tracing on coarse-grained reconfigurable processor
Ray tracing is a 3D rendering method for generating an image by simulating the path of light. It can generate high quality images, but it requires great computing power. Recent advances in ray tracing technology enable realtime ray tracing on modern desktop CPUs/GPUs. But in the current mobile environment, it is difficult because of inadequate computing power, memory bandwidth, and flexibility in mobile GPUs. In this paper, we present a mobile ray tracing system using Samsung Reconfigurable Processor (SRP). SRP architecture includes a tightly coupled very long instruction word (VLIW) engine and coarse-grained reconfigurable array (CGRA). The VLIW engine is designed for general-purpose computations, such as function invocation and branch selection, and the coarsegrained reconfigurable array is specialized for data-intensive part of the program and can be configured dynamically. We proposed iterative batch-based ray tracing algorithm for SRP, and optimized memory bandwidth with local memory and data cache. Our ray tracing system is implemented on a commercial FPGA-based prototyping system. The experimental results show that our system is suitable for the mobile ray tracing.
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