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.

该职业研究项目设计了软件硬件协作机制，以维持当今世界的性能和能源效率的改进，在这些世界中，应用程序越来越多地将应用程序部署在筹码上，并具有各种硬件加速器。实现此目标需要通过检测，分析和修改应用程序中的任务流和数据流，有效地管理应用程序在应用程序中的同时使用加速器。这项研究释放了新兴域中的下一代软件创新，例如增强/虚拟现实，智能传感和移动机器人技术。研究议程得到了教育/外展议程的补充。该项目将：（1）通过在移动虚拟现实设备上帮助重建和渲染，在罗切斯特大学的考古，技术和历史结构（ATHS）计划（ATHS）计划（ATHS）计划（ATHS）计划（ATHS）计划，该项目将在移动虚拟现实设备上促进埃尔米纳·卡斯尔（Elmina Castle），以促进CS与考古，技术和历史结构（ATHS）计划之间的跨学科研究； （2）提供本科生，包括在新兴应用领域和硬件加速方面的动手经验； （3）重新结构本科和研究生课程，以结合跨域加速度； （4）向罗切斯特学区的Vanguard Collegiate高中和Wilson高中的学生讲授计算课程的动手简介。该研究项目摆脱了有关单个加速器的传统研究。智力的主要优点是追求跨加速器在全球优化的机制。这项研究与个别加速器的改善相辅相成。技术方法是两管沟：1）通过减少加速器相互作用的开销（包括加速器间数据通信和任务协调）来接近加速度上限的设计机制； 2）设计系统超越纯加速度，以实现跨加速器共享元数据的算法。该研究项目旨在开发编程界面和编译器支持，以揭示数据流，任务流和元数据共享机会，从而跨加速器共享机会。该语言和编译器得到了轻巧的动态机制的支持，这些机制在运行时检测并适应流量以及新的硬件结构，以进行有效的加速器间数据通信和任务协调。该奖项反映了NSF的法定任务，并被认为是通过基金会的知识优点和广泛的范围来评估的。

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

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

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