论文标题
使用Illixr探索扩展现实：建筑研究的新操场
Exploring Extended Reality with ILLIXR: A New Playground for Architecture Research
论文作者
论文摘要
当我们进入特定于领域的体系结构时代时，系统研究人员必须了解新兴应用领域的要求。增强和虚拟现实（AR/VR）或扩展现实（XR）就是一个重要的领域。本文介绍了Illixr，这是第一个具有最新组件的开源端到端XR系统（1），（2）与模块化且可扩展的多线程运行时集成，（3）为XR应用程序提供符合XR应用程序（例如，游戏发动机）和（4）的符合openxr的界面，以及（例如，（4）和（4）和（4），并能够报告（和交易）（及其质量）（QOE）（QOE）。我们为完整的Illixr系统及其各个组件分析性能，功率和QOE指标。我们的分析揭示了几种对建筑和系统研究的影响。其中包括苛刻的绩效，权力和QoE要求，大量关键任务，相互依存的执行管道，在调度和资源管理方面面临挑战，以及与绩效/权力和人类感知相关的QOE指标之间的巨大权衡空间。 Illixr和我们的分析有可能推动整体和系统研究中的新方向，尤其是影响XR。 Illixr是开源的，可在https://illixr.github.io上找到。
As we enter the era of domain-specific architectures, systems researchers must understand the requirements of emerging application domains. Augmented and virtual reality (AR/VR) or extended reality (XR) is one such important domain. This paper presents ILLIXR, the first open source end-to-end XR system (1) with state-of-the-art components, (2) integrated with a modular and extensible multithreaded runtime, (3) providing an OpenXR compliant interface to XR applications (e.g., game engines), and (4) with the ability to report (and trade off) several quality of experience (QoE) metrics. We analyze performance, power, and QoE metrics for the complete ILLIXR system and for its individual components. Our analysis reveals several properties with implications for architecture and systems research. These include demanding performance, power, and QoE requirements, a large diversity of critical tasks, inter-dependent execution pipelines with challenges in scheduling and resource management, and a large tradeoff space between performance/power and human perception related QoE metrics. ILLIXR and our analysis have the potential to propel new directions in architecture and systems research in general, and impact XR in particular. ILLIXR is open-source and available at https://illixr.github.io
