Evaluation of a BVH Construction Accelerator Architecture for High-Quality Visualization

Michael J. Doyle;Ciarán Tuohy;Michael Manzke
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引用次数: 8

Abstract

The ever-increasing demands of computer graphics applications have motivated the evolution of computer graphics hardware over the last 20 years. Early commodity graphics hardware was largely based on fixed-function components offering little flexibility. The gradual replacement of fixed-function hardware with more general-purpose instruction processors, has enabled GPUs to deliver visual experiences more tailored to specific applications. This trend has culminated in modern GPUs essentially being programmable stream processors, capable of supporting a wide variety of applications in and outside of computer graphics. However, the growing concern of power efficiency in modern processors, coupled with an increasing demand for supporting next-generation graphics pipelines, has re-invigorated the debate on the use of fixed-function accelerators in these platforms. In this paper, we conduct a study of a heterogeneous, system-on-chip solution for the construction of a highly important data structure for computer graphics: the bounding volume hierarchy. This design incorporates conventional CPU cores alongside a fixed-function accelerator prototyped on a reconfigurable logic fabric. Our study supports earlier, simulation-only studies which argue for the introduction of this class of accelerator in future graphics processors.
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用于高质量可视化的BVH施工加速器体系结构的评估
在过去的20年里,计算机图形应用的不断增长的需求推动了计算机图形硬件的发展。早期的商品图形硬件主要基于固定功能组件,灵活性很低。固定功能硬件逐渐被更通用的指令处理器取代,使GPU能够提供更适合特定应用的视觉体验。这一趋势最终导致现代GPU本质上是可编程流处理器,能够支持计算机图形内外的各种应用。然而,对现代处理器功率效率的日益关注,加上对支持下一代图形管道的需求不断增加,重新激发了关于在这些平台中使用固定功能加速器的辩论。在本文中,我们研究了一种异构的片上系统解决方案,用于构建计算机图形学中非常重要的数据结构:包围体层次结构。这种设计结合了传统的CPU核心和在可重构逻辑结构上原型化的固定功能加速器。我们的研究支持早期的仅模拟的研究,这些研究主张在未来的图形处理器中引入此类加速器。
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