CSR: Small: Collaborative Research:Exploiting Predictability & Interdependency of Physical Parameters for Resource-Efficient Integration of Real-Time Embedded Systems
企业社会责任:小型:协作研究:利用可预测性
基本信息
- 批准号:1618185
- 负责人:
- 金额:$ 24.9万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-10-01 至 2020-09-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Everyday activities are increasingly enabled by embedded systems. In such systems, a deadline violation can lead to dangerous and/or disastrous consequences. The timing parameters of such systems are driven by the physical state of these systems (e.g., ignition timing in automotive systems is determined by engine speed). Current approaches to deal with the dependencies between the physical environment state and timing parameters make very simplistic assumptions, resulting in wasted hardware and energy resources. This research facilitates more effective integration of embedded systems --thus enabling smaller technology via incorporation of techniques from mechanical engineering, control systems, and real-time scheduling. The resultant techniques will minimize the carbon footprint of systems that are ubiquitous and run our everyday lives. The educational objective of this project incorporates resulting artifacts into undergraduate- and graduate-level courses, as well as in K-12 outreach at local schools via summer camps and challenge sessions.This research aims to minimize the computational utilization of real-time embedded systems by analyzing, modeling, and predicting dependencies between the physical state and timing parameters to reduce the size, weight, and power requirements of next-generation embedded systems. A central objective is development of run-time scheduling algorithms and associated schedulability analysis for new real-time task models that characterize multiple physical dimensions of the system and their interdependencies. Run-time adaptation protocols effectively allocate resources when the estimates of the physical parameters are inaccurate. Implementations of the scheduling and allocation algorithms upon embedded platforms provide evaluation of performance of multi-dimensional techniques compared to the traditional single-dimensional models.
日常活动越来越多地由嵌入式系统支持。在这样的系统中,违反最后期限可能会导致危险和/或灾难性的后果。 此类系统的正时参数由这些系统的物理状态驱动(例如,汽车系统中的点火正时由发动机速度确定)。 当前处理物理环境状态和定时参数之间的依赖性的方法做出了非常简单的假设,导致硬件和能源资源的浪费。这项研究促进了嵌入式系统的更有效集成,从而通过结合机械工程、控制系统和实时调度技术来实现更小的技术。由此产生的技术将最大限度地减少我们日常生活中无处不在的系统的碳足迹。该项目的教育目标是将所得成果纳入本科和研究生水平的课程,以及通过夏令营和挑战赛在当地学校的 K-12 推广中。这项研究旨在最大限度地减少实时嵌入式系统的计算利用率通过分析、建模和预测物理状态和时序参数之间的依赖性,以减少下一代嵌入式系统的尺寸、重量和功耗要求。 一个中心目标是为新的实时任务模型开发运行时调度算法和相关的可调度性分析,该模型表征系统的多个物理维度及其相互依赖性。当物理参数的估计不准确时,运行时自适应协议可以有效地分配资源。 与传统的单维模型相比,调度和分配算法在嵌入式平台上的实现提供了多维技术的性能评估。
项目成果
期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
NPM-BUNDLE: Non-Preemptive Multitask Scheduling for Jobs with BUNDLE-Based Thread-Level Scheduling
NPM-BUNDLE:使用基于 BUNDLE 的线程级调度对作业进行非抢占式多任务调度
- DOI:10.4230/lipics.ecrts.2019.15
- 发表时间:2019-07
- 期刊:
- 影响因子:0
- 作者:Tessler, Corey;Fisher, Nathan
- 通讯作者:Fisher, Nathan
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Nathan Fisher其他文献
Co-Located Parallel Scheduling of Threads to Optimize Cache Sharing
线程共置并行调度以优化缓存共享
- DOI:
10.1109/rtss59052.2023.00030 - 发表时间:
2023-12-05 - 期刊:
- 影响因子:0
- 作者:
Corey Tessler;Prashant Modekurthy;Nathan Fisher;Abusayeed Saifullah;Alleyn Murphy - 通讯作者:
Alleyn Murphy
Vision-based Human Identification with Face and Nametape Recognition in Aerial Casualty Monitoring System
空中伤亡监测系统中基于视觉的人脸识别和姓名带识别
- DOI:
10.1109/ro-man57019.2023.10309606 - 发表时间:
2023-08-28 - 期刊:
- 影响因子:0
- 作者:
Jaeyeon Lee;Ethan Quist;Jonathan Chambers;Justin Peel;Kelly Roman;Nathan Fisher - 通讯作者:
Nathan Fisher
Suprachiasmatic lesions restore object recognition in down syndrome model mice
视交叉上病变恢复唐氏综合症模型小鼠的物体识别能力
- DOI:
10.1016/j.nbscr.2020.100049 - 发表时间:
2020-02-16 - 期刊:
- 影响因子:0
- 作者:
B. Chuluun;Elsa Pittaras;Hyunseung Hong;Nathan Fisher;D. Colas;N. F. Ruby;H. Heller - 通讯作者:
H. Heller
AXI-IC RT : Towards a Real-Time AXI-Interconnect for Highly Integrated SoCs
AXI-IC RT:面向高度集成 SoC 的实时 AXI 互连
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Zhe Jiang;Kecheng Yang;Nathan Fisher;Ian Gray;N. Audsley;Zheng Dong - 通讯作者:
Zheng Dong
Minimizing peak temperature in embedded real-time systems via thermal-aware periodic resources
通过热感知周期性资源最大限度地降低嵌入式实时系统中的峰值温度
- DOI:
10.1016/j.suscom.2011.05.006 - 发表时间:
2011-09-01 - 期刊:
- 影响因子:0
- 作者:
Masud Ahmed;Nathan Fisher;Shengquan Wang;P. Hettiarachchi - 通讯作者:
P. Hettiarachchi
Nathan Fisher的其他文献
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{{ truncateString('Nathan Fisher', 18)}}的其他基金
Collaborative Research: CNS Core: Medium: Parallel and Real-Time Multicore Scheduling for an Efficiently-Used Cache (PARSEC)
合作研究:CNS 核心:中:高效使用缓存的并行实时多核调度 (PARSEC)
- 批准号:
2211641 - 财政年份:2022
- 资助金额:
$ 24.9万 - 项目类别:
Continuing Grant
Collaborative Research: CPS: Medium: Timeliness vs. Trustworthiness: Balancing Predictability and Security in Time-Sensitive CPS Design
协作研究:CPS:中:及时性与可信度:在时间敏感的 CPS 设计中平衡可预测性和安全性
- 批准号:
2038609 - 财政年份:2021
- 资助金额:
$ 24.9万 - 项目类别:
Standard Grant
S&AS: INT: Autonomous Battery Operating System (ABOS): An Adaptive and Comprehensive Approach to Efficient, Safe, and Secure Battery System Management
S
- 批准号:
1724227 - 财政年份:2017
- 资助金额:
$ 24.9万 - 项目类别:
Standard Grant
II-NEW: A Research and Education Infrastructure for Power- and Thermal-Aware Computing
II-新:用于功率和热感知计算的研究和教育基础设施
- 批准号:
1205338 - 财政年份:2012
- 资助金额:
$ 24.9万 - 项目类别:
Standard Grant
CSR: Small: Designing Mechanisms for Resource Allocation in Competitive Real-Time Open Environments
CSR:小:设计竞争性实时开放环境中的资源分配机制
- 批准号:
1116787 - 财政年份:2011
- 资助金额:
$ 24.9万 - 项目类别:
Standard Grant
CAREER: Real-Time Platform Virtualization in Multiprocessor Systems: Temporal Isolation and Allocation
职业:多处理器系统中的实时平台虚拟化:时间隔离和分配
- 批准号:
0953585 - 财政年份:2010
- 资助金额:
$ 24.9万 - 项目类别:
Continuing Grant
CAREER: Mechanisms for Resource Sharing in Collaborative High-End Computing Platforms
职业:协作高端计算平台中的资源共享机制
- 批准号:
0643521 - 财政年份:2007
- 资助金额:
$ 24.9万 - 项目类别:
Continuing Grant
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