CPS: Medium: Modular Power Orchestration at the Meso-scale

CPS：中：中观规模的模块化电源编排

• 批准号: 1739643
• 负责人: Xuan Zhang
• 金额: $ 93.65万
• 依托单位: Washington University
• 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
• 起止时间: 2017-09-15 至 2023-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1739643&HistoricalAwards=false
• 关键词: CPS; Medium; Modular; Power; Orchestration

Energy storage and power distribution play an integral part in the engineered systems that play critical roles in people's everyday lives, including transportation, utility, health, and security. In today's cyber-physical platforms, however, the generation, storage, allocation, and distribution of energy among modules is often managed in a haphazard and rigid manner that is fixed at the system design stage. The limitations of existing power management methods are clearly evident in highly-integrated meso-scale systems, which range from mobile devices to large installations such as the International Space Station. The power semantics of these meso-scale systems fall in between those of macro-scale power grids and micro-scale on-chip power management, resulting in a significant solution void. This research project aims to fill that void by establishing an agile, yet resilient, framework to design and manage power distribution and energy storage in cyber-physical systems. The broader impacts of this project will not only transform power delivery capabilities in emerging technologies such as the next generation of electric and hybrid autonomous vehicles, but also enrich inter-disciplinary education by bridging hardware-oriented power electronics design with control, system software, and application development, through curriculum integration and outreach programs.This research will develop a principled approach towards two main goals: modularizing the management of power semantics in meso-scale cyber-physical systems, and orchestrating the power-related system-wide interactions among heterogeneous modules. We begin by introducing an innovative equivalence between the management of power distribution and the optimization of energy packet delivery. This new problem formulation allows us to re-imagine the power architecture by incorporating malleable power modules as smart energy routers, connecting and buffering bidirectional power flows between diverse functional components such as motors, processors, and sensors. This research will develop a novel approach to efficient delivery of energy packets, which will allow reasoning about optimality and trade-offs among power and performance semantics holistically. This project will also establish a new intelligent coordination framework based on formal methods, for off-line generation of on-line interfaces among power modules, aiming to orchestrate exchanges of power among modules at a full-system level, even in the face of variability and model uncertainty. This modular power flow orchestration framework is a step towards a theory of modular smart ubiquitous cyber-physical devices, empowering a paradigm shift in how next-generation systems with new semantic objectives such as long-term sustainable autonomy can be built.

能源存储和发电机分配在工程系统中起着不可或缺的作用，这些系统在人们的日常生活中起着至关重要的作用，包括运输，公用事业，健康和安全。然而，在当今的网络物理平台中，在系统设计阶段固定的偶然和僵化的方式通常以偶然和僵化的方式对模块之间的能源之间的生成，存储，分配和分配进行管理。现有电源管理方法的局限性在高度综合的中尺度系统中显而易见，从移动设备到国际空间站等大型设施，范围很大。这些中尺度系统的功率语义介于宏观尺度功率电网和微尺度片上功率管理之间的功率语义，从而产生了重要的解决方案。该研究项目旨在通过建立一个敏捷但有弹性的框架来设计和管理网络物理系统中的电源和能源存储，以填补这一空白。该项目的更广泛影响不仅将改变新兴技术的电力传递能力，例如下一代电动和混合自动驾驶汽车，而且还通过弥合具有硬件的电力电子设计，控制，系统软件，系统软件以及应用程序开发，通过途径进行培训的方法来实现两种方法，以实现两种方法：中尺度的网络物理系统，并在异质模块之间策划与功率相关的系统范围的相互作用。首先，我们引入了电源分配管理与能量数据包交付的优化之间的创新等效性。这种新的问题表述使我们能够通过将可延展的功率模块作为智能能源路由器，连接和缓冲双向功率流（例如电动机，处理器和传感器）之间的连接和缓冲双向功率流进行构想。这项研究将开发一种新型的能量数据包提供的新方法，这将允许整体上的功率和性能语义之间的最佳和权衡。该项目还将基于正式方法建立一个新的智能协调框架，以在电源模块之间的在线生成在线界面，旨在在全系统层面上协调模块之间的权力交流，即使面对可变性和模型不确定性。这个模块化的功率流编排框架是迈向模块化智能无处不在的网络物理设备理论的一步，增强了如何建立具有长期可持续自治等新语义目标的下一代系统的范式转变。

项目成果

Quantifying Rowhammer Vulnerability for DRAM Security

量化 DRAM 安全性的 Rowhammer 漏洞

• DOI: 10.1109/dac18074.2021.9586119
• 发表时间: 2021
• 期刊: 2021 58th ACM/IEEE Design Automation Conference (DAC
• 作者: Jiang, Yichen;Zhu, Huifeng;Sullivan, Dean;Guo, Xiaolong;Zhang, Xuan;Jin, Yier
• 通讯作者: Jin, Yier

PowerTouch: A Security Objective-Guided Automation Framework for Generating Wired Ghost Touch Attacks on Touchscreens

PowerTouch：一种安全目标引导的自动化框架，用于在触摸屏上生成有线幽灵触摸攻击

• DOI: 10.1145/3508352.3549395
• 发表时间: 2022
• 期刊: Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design
• 作者: Zhu, Huifeng;Yu, Zhiyuan;Cao, Weidong;Zhang, Ning;Zhang, Xuan
• 通讯作者: Zhang, Xuan

HOGEye: Neural Approximation of HOG Feature Extraction in RRAM-Based 3D-Stacked Image Sensors

• DOI: 10.1145/3531437.3539706
• 发表时间: 2022-08
• 期刊: Proceedings of the ACM/IEEE International Symposium on Low Power Electronics and Design
• 作者: T. Ma;Weidong Cao;Fei Qiao;Ayan Chakrabarti;Xuan Zhang

HLPerf: Demystifying the Performance of HLS-based Graph Neural Networks with Dataflow Architectures

• DOI: 10.1145/3655627
• 发表时间: 2024-04
• 期刊: ACM Transactions on Reconfigurable Technology and Systems
• 影响因子: 2.3
• 作者: Chenfeng Zhao;Clayton J. Faber;R. Chamberlain;Xuan Zhang

Simple Physical Adversarial Examples against End-to-End Autonomous Driving Models

• DOI: 10.1109/icess.2019.8782514
• 发表时间: 2019-03
• 期刊: 2019 IEEE International Conference on Embedded Software and Systems (ICESS)
• 作者: Adith Boloor;Xin He;C. Gill;Yevgeniy Vorobeychik;Xuan Zhang