基于流式路径追踪的实时真实感渲染技术
Streaming Path Tracing for Real-Time Realistic Rendering Technology
王宸 1过洁 1郭延1
作者信息
摘要
从图形处理器(GPU)的线程调度和内存访问两个角度出发,提出了一种基于流式路径追踪的实时真实感渲染方案.它将传统的路径追踪算法分解成多个独立的逻辑模块,使得算法的实现更加贴合GPU硬件的调度模式,并且使用数组结构体(SoA)风格的内存布局重新排列数据,使得算法在GPU中运行可以减少对动态随机存取存储器(DRAM)的访问次数,从而提升算法的运行性能.该方案对GPU友好,相比于无优化的路径追踪算法,在GPU中的运行时间降低了83%～88%.
Abstract
A streaming path tracing for real-time realistic rendering by examining the graphics processing unit(GPU)thread scheduling and memory access is presented.Traditional path tracing algorithms are decomposed into several independent logic modules,making the imple-mentation more in line with GPU hardware's scheduling pattern.Furthermore,using a structure of arrays(SoA)style memory layout rear-ranges data to reduce the number of accesses to dynamic random access memory(DRAM)when algorithms run on the GPU,thereby im-proving performance.The proposed scheme is GPU-friendly,showing a decrease in the runtime by approximately 83%to 88%on the GPU compared to the unoptimized path tracing algorithm.
关键词
实时真实感渲染/路径追踪/GPU友好/流式/SoAKey words
real-time realistic rendering/path tracing/GPU-friendly/streaming/SoA引用本文复制引用
基金项目
国家自然科学基金项目(61972194)
国家自然科学基金项目(62032011)
江苏省自然科学基金项目(BK20211147)
出版年
2024
NETL
NSTL
万方数据