CAREER: Systems and Architectural Support for Accelerator-Level Parallelism

职业：加速器级并行的系统和架构支持

• 批准号: 2044963
• 负责人: Yuhao Zhu
• 金额: $ 51.57万
• 依托单位: University of Rochester
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-05-01 至 2026-04-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2044963&HistoricalAwards=false
• 关键词: CAREER; Systems; Architectural; Support; Accelerator

This CAREER research project designs software-hardware collaborative mechanisms to sustain the performance and energy-efficiency improvements in today's world where applications are increasingly deployed on chips with a wide variety of hardware accelerators. Achieving this goal requires efficiently managing the concurrent use of accelerators in an application and globally optimizing across accelerators through detecting, analyzing, and modifying the task flow and data flow in applications. This research unlocks next-generation software innovation in emerging domains, such as augmented/virtual reality, smart sensing, and mobile robotics. The research agenda is complemented by an educational/outreach agenda. The project will: (1) promote inter-disciplinary research between CS and the Archaeology, Technology, and Historical Structures (ATHS) program at University of Rochester by helping reconstruct and render Elmina Castle, a UNESCO World Heritage Site, on mobile virtual reality devices; (2) offer undergraduate students inclusive opportunities for hands-on experience in emerging application domains and hardware acceleration; (3) re-structure undergraduate and graduate curricula to incorporate cross-domain acceleration; and (4) teach hands-on Introduction to Computing courses to students from the Vanguard Collegiate High School and Wilson High School at the Rochester City School District.This research project breaks away from conventional research on individual accelerators. The key intellectual merit is the pursuit of mechanisms that globally optimize across accelerators. The research is complementary to improvements in individual accelerators. The technical approach is two-pronged: 1) design mechanisms that approach the upper bound of acceleration by reducing the overhead of accelerator interaction, including inter-accelerator data communication and task coordination; 2) design systems to go beyond pure acceleration to enable algorithms that share metadata across accelerators. The research project aims to develop programming interfaces and compiler support that expose data flow, task flow, and metadata sharing opportunities across accelerators. The language and compiler are supported by lightweight dynamic mechanisms that detect and adapt to the flows at run time as well as new hardware structures for efficient inter-accelerator data communication and task coordination.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这一职业研究项目设计了软硬件协作机制，以维持当今世界的性能和能效改进，在当今世界，应用程序越来越多地部署在具有各种硬件加速器的芯片上。要实现这一目标，需要高效地管理应用程序中加速器的并发使用，并通过检测、分析和修改应用程序中的任务流和数据流来跨加速器进行全局优化。这项研究开启了新兴领域的下一代软件创新，如增强/虚拟现实、智能传感和移动机器人技术。研究议程与教育/外联议程相辅相成。该项目将：(1)通过帮助在移动虚拟现实设备上重建和渲染联合国教科文组织世界遗产艾尔米纳城堡，促进CS与罗切斯特大学考古、技术和历史建筑(ATHS)项目之间的跨学科研究；(2)为本科生提供在新兴应用领域和硬件加速方面的实践经验的包容性机会；(3)重组本科和研究生课程，以纳入跨领域加速；以及(4)向罗切斯特市学区的先锋大学高中和威尔逊高中的学生讲授动手操作的计算入门课程。这项研究项目打破了对个人加速器的传统研究。关键的智力优势是追求跨加速器进行全球优化的机制。这项研究是对单个加速器改进的补充。技术方法是双管齐下的：1)通过减少加速器交互的开销，包括加速器之间的数据通信和任务协调，设计接近加速上限的机制；2)设计超越纯粹加速的系统，以使算法能够在加速器之间共享元数据。该研究项目旨在开发编程接口和编译器支持，以公开跨加速器的数据流、任务流和元数据共享机会。该语言和编译器由在运行时检测和适应流的轻量级动态机制以及用于高效加速器间数据通信和任务协调的新硬件结构支持。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

RTNN: accelerating neighbor search using hardware ray tracing

• DOI: 10.1145/3503221.3508409
• 发表时间: 2022-01
• 期刊: Proceedings of the 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming
• 作者: Yuhao Zhu

Crescent: taming memory irregularities for accelerating deep point cloud analytics

• DOI: 10.1145/3470496.3527395
• 发表时间: 2022-04
• 期刊: Proceedings of the 49th Annual International Symposium on Computer Architecture
• 作者: Yu Feng;Gunnar Hammonds;Yiming Gan;Yuhao Zhu

Thales: Formulating and Estimating Architectural Vulnerability Factors for DNN Accelerators

• DOI: 10.48550/arxiv.2212.02649
• 发表时间: 2022-12
• 期刊: ArXiv
• 作者: Abhishek Tyagi;Yiming Gan;Shaoshan Liu;Bo Yu;P. Whatmough;Yuhao Zhu

Color-Perception-Guided Display Power Reduction for Virtual Reality

• DOI: 10.1145/3550454.3555473
• 发表时间: 2022-09
• 期刊: ACM Transactions on Graphics (TOG)
• 作者: Budmonde Duinkharjav;Kenneth Chen;Abhishek Tyagi;Jiaying He;Yuhao Zhu;Qiuyue Sun

Real-Time Gaze Tracking with Event-Driven Eye Segmentation

• DOI: 10.1109/vr51125.2022.00059
• 发表时间: 2022-01
• 期刊: 2022 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)
• 作者: Yu Feng;Nathan Goulding;Asif Khan;Hans Reyserhove;Yuhao Zhu