高效的MIMD架构,用于高性能光线跟踪

D. Kopta, J. Spjut, E. Brunvand, A. Davis
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引用次数: 35

摘要

光线追踪有效地模拟复杂的照明效果,以提高计算机图形的视觉真实感。典型的现代gpu使用广泛的SIMD处理,并在包括光线追踪在内的各种图形处理方面取得了令人印象深刻的性能。然而,由于在光线跟踪代码中常见的不同分支和内存访问模式,SIMD效率可能会降低。本文探讨了一种使用为光线跟踪定制设计的MIMD处理内核的替代方法。通过像SIMD那样放宽指令路径同步的要求,可以更有效地共享缓存和不太频繁使用的区域昂贵的功能单元。大量的资源共享提供了显著的面积节约,同时仍然保持了大量轻量级核心的高MIMD问题发生率。本文探讨了该架构的设计空间,并将性能与使用通用内核的GPU光线跟踪器和并行光线跟踪器的最佳报告结果进行了比较。我们展示的整体性能是6到10倍,在类似的模具领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficient MIMD architectures for high-performance ray tracing
Ray tracing efficiently models complex illumination effects to improve visual realism in computer graphics. Typical modern GPUs use wide SIMD processing, and have achieved impressive performance for a variety of graphics processing including ray tracing. However, SIMD efficiency can be reduced due to the divergent branching and memory access patterns that are common in ray tracing codes. This paper explores an alternative approach using MIMD processing cores custom-designed for ray tracing. By relaxing the requirement that instruction paths be synchronized as in SIMD, caches and less frequently used area expensive functional units may be more effectively shared. Heavy resource sharing provides significant area savings while still maintaining a high MIMD issue rate from our numerous light-weight cores. This paper explores the design space of this architecture and compares performance to the best reported results for a GPU ray tracer and a parallel ray tracer using general purpose cores. We show an overall performance that is six to ten times higher in a similar die area.
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