HoloAR: On-the-fly Optimization of 3D Holographic Processing for Augmented Reality

HoloAR: On-the-fly Optimization of 3D Holographic Processing for Augmented Reality
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DOI:
10.1145/3466752.3480056
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发表时间:
2021-10
期刊:
MICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture
影响因子:
--
通讯作者:
Shulin Zhao;Haibo Zhang;Cyan Subhra Mishra;Sandeepa Bhuyan;Ziyu Ying;M. Kandemir;A. Sivasubramaniam;C. Das
Shulin Zhao;Haibo Zhang;Cyan Subhra Mishra;Sandeepa Bhuyan;Ziyu Ying;M. Kandemir;A. Sivasubramaniam;C. Das
中科院分区:
其他
文献类型:
--
作者:
Shulin Zhao;Haibo Zhang;Cyan Subhra Mishra;Sandeepa Bhuyan;Ziyu Ying;M. Kandemir;A. Sivasubramaniam;C. Das

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全息处理是主要瓶颈,占电池供电的增强现实(AR)耳机能耗的50%以上。因此,提高全息流水线的计算效率至关重要。本文的目标是最大限度地提高其能源效率,而不损害全息图的质量,增强现实应用。为此,我们采取分析工作负载的方法,以确定近似的机会。我们表明,通过考虑各种参数,如感兴趣的区域和景深,我们可以近似渲染的虚拟对象,以尽量减少计算量,而不影响用户体验。此外,通过优化软件设计流程,我们提出了HoloAR,它可以智能地将视线中最重要的物体渲染到最清晰的细节,同时近似计算其他物体,从而显着减少计算量,节省能源,同时获得性能。我们在边缘GPU平台上实现了我们的设计,以证明我们的研究在现实世界中的适用性。我们的实验结果表明,与基线相比,HoloAR平均实现了2.7倍的加速和73%的节能。
Hologram processing is the primary bottleneck and contributes to more than 50% of energy consumption in battery-operated augmented reality (AR) headsets. Thus, improving the computational efficiency of the holographic pipeline is critical. The objective of this paper is to maximize its energy efficiency without jeopardizing the hologram quality for AR applications. Towards this, we take the approach of analyzing the workloads to identify approximation opportunities. We show that, by considering various parameters like region of interest and depth of view, we can approximate the rendering of the virtual object to minimize the amount of computation without affecting the user experience. Furthermore, by optimizing the software design flow, we propose HoloAR, which intelligently renders the most important object in sight to the clearest detail, while approximating the computations for the others, thereby significantly reducing the amount of computation, saving energy, and gaining performance at the same time. We implement our design in an edge GPU platform to demonstrate the real-world applicability of our research. Our experimental results show that, compared to the baseline, HoloAR achieves, on average, 2.7 × speedup and 73% energy savings.