CSR: Small: Collaborative Research: EUReCa: Enabling Untethered VR/AR System via Human-centric Graphic Computing and Distributed Data Processing
CSR: Small: Collaborative Research: EUReCa: Enabling Untethered VR/AR System via Human-centric Graphic Computing and Distributed Data Processing
批准号:
1717657
负责人:
Yiran Chen
金额:
$25.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-09-01 至 2020-08-31
中文摘要
虚拟现实(VR)和增强现实(AR)设备,特别是它们的移动版本是新兴的技术。然而,VR/AR技术面临的一个主要挑战是日益增长的图形和数据处理需求与有限的移动硬件计算能力之间的差距。来自GMU和杜克大学的两名研究人员组成团队,开发一种创新的VR/AR系统,即“EUReCa”,该系统解决了以人为中心的图形处理和分布式数据处理的挑战。本研究利用标准工作负载来研究VR/AR系统的设计,以了解计算资源的使用情况,并通过任务分配来减少计算负载,从而提高计算的效率和可扩展性。通过整合人类交互和先进数据处理技术的创新,研究成果将使研究和整个行业都受益。该教育计划通过将计算机图形学、嵌入式系统和机器学习方面的跨学科模块与新开发的教学实践结合起来,加强现有课程和教学方法,并特别关注妇女和代表性不足的少数群体。该项目执行三项任务。任务1通过考虑系统配置和用户操作的动态,对VR/AR系统的计算资源利用率进行建模。任务2探索了高效的以人为中心的图形绘制框架,以减少VR/AR系统的计算负载。任务3通过平衡图形绘制和深度神经网络(DNN)应用中的计算负载和数据分配来利用新的方案来提高计算效率。这些技术将在移动设备上进行评估。
英文摘要
Virtual Reality (VR) and Augmented Reality (AR) devices, especially their mobile versions are newly emergent technologies. However, a major challenge that VR/AR technologies faces is the gap between the increasing needs for graphic and data processing and the limited computing capability of the mobile hardware. Two researchers from GMU and Duke form a team to develop an innovative VR/AR system, namely, "EUReCa", which tackles the challenge of human-centric graphic processing and distributed data processing. This research studies VR/AR system design using standard workloads to understand the computation source utilization that leads to development of usage model, and reduces the computation loads via task allocation, thereby enhancing the efficiency and scalability of computation. The research outcomes will benefit both research and industry at large by integrating the innovations of human interaction and advanced data processing technologies. The education plan enhances existing curricula and pedagogy by integrating interdisciplinary modules on computer graphic, embedded systems, and machine learning with newly developed teaching practices, and gives special attention to women and underrepresented minority groups. The project performs three tasks. Task 1 models the computation resource utilization of VR/AR systems by considering the system configuration and dynamics of user operations. Task 2 explores efficient human-centric graphic rendering framework for reducing computation loads of VR/AR systems. Task 3 exploits novel schemes to enhance computation efficiency via balancing the computation loads and data allocations in graphic rendering and deep neural network (DNN) applications. The techniques will be evaluated on mobile devices.
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DOI:
10.1145/3287624.3288753
发表时间:
2019-01
期刊:
Proceedings of the 24th Asia and South Pacific Design Automation Conference
影响因子:
--
作者:
[Hsin-Pai Cheng;Juncheng Shen;Huanrui Yang;Qing Wu;Hai Helen Li;Yiran Chen]
通讯作者:
Hsin-Pai Cheng;Juncheng Shen;Huanrui Yang;Qing Wu;Hai Helen Li;Yiran Chen
DOI:
10.1145/3484946
发表时间:
2022-05
期刊:
ACM Transactions on Embedded Computing Systems (TECS)
影响因子:
--
作者:
[Jiachen Mao;Qing Yang;Ang Li;Kent W. Nixon;H. Li;Yiran Chen]
通讯作者:
Jiachen Mao;Qing Yang;Ang Li;Kent W. Nixon;H. Li;Yiran Chen
DOI:
10.1145/3316781.3317865
发表时间:
2019-06
期刊:
2019 56th ACM/IEEE Design Automation Conference (DAC)
影响因子:
--
作者:
[Jiachen Mao;Qing Yang;Ang Li;H. Li;Yiran Chen]
通讯作者:
Jiachen Mao;Qing Yang;Ang Li;H. Li;Yiran Chen
DOI:
10.1145/3397166.3409140
发表时间:
2020-05
期刊:
Proceedings of the Twenty-First International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing
影响因子:
--
作者:
[Ang Li;Chunpeng Wu;Yiran Chen;Bin Ni]
通讯作者:
Ang Li;Chunpeng Wu;Yiran Chen;Bin Ni
Fast Confidence Detection: One Hot Way to Detect Adversarial Attacks via Sensor Pattern Noise Fingerprinting
快速置信度检测:通过传感器模式噪声指纹识别来检测对抗性攻击的一种热门方法
DOI:
10.1145/3289602.3293975
发表时间:
2019
期刊:
International Symposium on Field-Programmable Gate Arrays
影响因子:
--
作者:
[Lan, Yazhu, Guo, Qingli, Zhang, Guohe, Xu, Yuanchao, Nixon, Kent W., Li, Hai Helen, Chen, Yiran]
通讯作者:
Chen, Yiran
共 8 条
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国内基金
海外基金
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