CSR: Small: Collaborative Research: Generalized Reliability-Aware Power Management for Real-Time Embedded Systems
CSR:小型:协作研究:实时嵌入式系统的通用可靠性感知电源管理
基本信息
- 批准号:1016974
- 负责人:
- 金额:$ 18.54万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2010
- 资助国家:美国
- 起止时间:2010-08-01 至 2013-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
For decades, computer system design and operation were driven largely by high performance objectives. Yet, as the large scale integration of semi-conductor devices is approaching its physical limits, energy efficiency and robustness have been recently promoted to first-class design constraints. Energy efficiency is mandated by the emergence of small foot-print, portable, and battery-powered computers as well as ever-increasing power density that puts stringent constraints even on computers connected to the power grid. Moreover, recent research has revealed that aggressive power management techniques can significantly increase vulnerabilities of computer systems to transient faults (soft errors) that can cause incorrect operations at run-time. These problems are even more pronounced for real-time embedded systems that must perform correctly at high reliability levels, under strict timing and energy constraints.In recent past, a number of pioneering reliability-aware power management schemes were proposed that aim at mitigating the negative effects of the popular dynamic voltage and frequency scaling. This project is addressing the conservatism of the existing solutions and developing a more general framework. Specifically, the project is devising novel solutions to achieve arbitrary reliability levels through the use of shared recovery tasks. In addition, the research is extending the framework to multiprocessor and emerging multicore platforms. The project has two major broader impact dimensions: First, energy-awareness has a direct impact on environment, economy, and society at large. Second, by promoting reliability to a first-order objective, the project will help to prevent malfunctions in safety-critical computer systems and protect property and human lives.
几十年来,计算机系统设计和操作主要由高性能目标驱动。然而,随着半导体设备的大规模整合正在接近其物理限制,最近将能源效率和鲁棒性推广到一流的设计约束。小脚印,便携式和电池供电的计算机以及不断增加的功率密度的出现,即使在连接到电网连接的计算机上也构成了严格的限制,这是由小脚印,便携式和电池供电的电脑出现的。此外,最近的研究表明,积极的电源管理技术可以显着增加计算机系统对瞬态故障(软错误)的脆弱性,这些故障可能会在运行时导致不正确的操作。对于必须在严格的时机和能量约束下必须在高可靠性水平上正确执行的实时嵌入式系统,这些问题甚至更为明显。在过去的过去,提出了许多开创性的可靠性能力管理方案,旨在减轻流行动态电压和频率扩展的负面影响。 该项目正在解决现有解决方案的保守主义,并开发更一般的框架。具体而言,该项目正在设计新颖的解决方案,以通过使用共享恢复任务来实现任意可靠性水平。此外,该研究将框架扩展到多处理器和新兴的多核心平台。 该项目具有两个更广泛的影响方面:首先,能源意识直接影响着整个环境,经济和社会。其次,通过促进一阶目标的可靠性,该项目将有助于防止安全 - 关键计算机系统中的故障并保护财产和人类生命。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Dakai Zhu其他文献
Work-in-Progress: Victim-Aware Scheduling for Robust Operations in Safety-Critical Systems
正在进行的工作:在安全关键系统中实现稳健操作的受害者感知调度
- DOI:
- 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
Dakai Zhu;S. Drager;Matthew Anderson;Hakan Aydin - 通讯作者:
Hakan Aydin
Energy Efficient Redundant Configurations for Reliable Servers in Distributed Systems
分布式系统中可靠服务器的节能冗余配置
- DOI:
- 发表时间:
2007 - 期刊:
- 影响因子:0
- 作者:
Dakai Zhu;R. Melhem - 通讯作者:
R. Melhem
Multicore Mixed-Criticality Systems: Partitioned Scheduling and Utilization Bound
多核混合关键系统:分区调度和利用率限制
- DOI:
10.1109/tcad.2017.2697955 - 发表时间:
2018 - 期刊:
- 影响因子:0
- 作者:
Jian-Jun Han;Xin Tao;Dakai Zhu;Hykan Aydin;Zili Shao;Laurence T. Yang - 通讯作者:
Laurence T. Yang
uPredict: A User-Level Profiler-Based Predictive Framework in Multi-Tenant Clouds
uPredict:多租户云中基于用户级分析器的预测框架
- DOI:
- 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
Hamidreza Moradi;Wei Wang;Amanda Fernandez;Dakai Zhu - 通讯作者:
Dakai Zhu
Memory-aware Efficient Deep Learning Mechanism for IoT Devices
适用于物联网设备的内存感知高效深度学习机制
- DOI:
- 发表时间:
2021 - 期刊:
- 影响因子:0
- 作者:
Jishnu Banerjee;S. Islam;Wei Wei;Chen Pan;Dakai Zhu;Mimi Xie - 通讯作者:
Mimi Xie
Dakai Zhu的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Dakai Zhu', 18)}}的其他基金
Conference: NSF Student Travel Grant for CPS-IoT Week 2023
会议:2023 年 CPS-IoT 周 NSF 学生旅行补助金
- 批准号:
2317679 - 财政年份:2023
- 资助金额:
$ 18.54万 - 项目类别:
Standard Grant
CSR: Small: Collaborative Research: Dependable Real-Time Computing on Heterogeneous Chip Multiprocessor Systems
CSR:小型:协作研究:异构芯片多处理器系统上的可靠实时计算
- 批准号:
1422709 - 财政年份:2014
- 资助金额:
$ 18.54万 - 项目类别:
Continuing Grant
CAREER: An Integrated Scheduling Framework for Multicore Based Real-Time Embedded Systems
职业:基于多核的实时嵌入式系统的集成调度框架
- 批准号:
0953005 - 财政年份:2010
- 资助金额:
$ 18.54万 - 项目类别:
Continuing Grant
II-NEW: Enhanced Parallelization for High Performance Computing
II-新:高性能计算的增强并行化
- 批准号:
0855247 - 财政年份:2009
- 资助金额:
$ 18.54万 - 项目类别:
Standard Grant
Collaborative Research: CSR-EHS: Towards an Integrated Framework for Low Power Reliable Real-Time Embedded Systems
合作研究:CSR-EHS:迈向低功耗可靠实时嵌入式系统的集成框架
- 批准号:
0720651 - 财政年份:2007
- 资助金额:
$ 18.54万 - 项目类别:
Continuing Grant
相似国自然基金
基于超宽频技术的小微型无人系统集群协作关键技术研究与应用
- 批准号:
- 批准年份:2020
- 资助金额:57 万元
- 项目类别:面上项目
异构云小蜂窝网络中基于协作预编码的干扰协调技术研究
- 批准号:61661005
- 批准年份:2016
- 资助金额:30.0 万元
- 项目类别:地区科学基金项目
密集小基站系统中的新型接入理论与技术研究
- 批准号:61301143
- 批准年份:2013
- 资助金额:24.0 万元
- 项目类别:青年科学基金项目
ScFVCD3-9R负载Bcl-6靶向小干扰RNA治疗EAMG的试验研究
- 批准号:81072465
- 批准年份:2010
- 资助金额:31.0 万元
- 项目类别:面上项目
基于小世界网络的传感器网络研究
- 批准号:60472059
- 批准年份:2004
- 资助金额:21.0 万元
- 项目类别:面上项目
相似海外基金
Collaborative Research: CSR: Small: Caphammer: A New Security Exploit in Energy Harvesting Systems and its Countermeasures
合作研究:CSR:小型:Caphammer:能量收集系统的新安全漏洞及其对策
- 批准号:
2314681 - 财政年份:2023
- 资助金额:
$ 18.54万 - 项目类别:
Continuing Grant
Collaborative Research: CSR: Small: Expediting Continual Online Learning on Edge Platforms through Software-Hardware Co-designs
协作研究:企业社会责任:小型:通过软硬件协同设计加快边缘平台上的持续在线学习
- 批准号:
2312157 - 财政年份:2023
- 资助金额:
$ 18.54万 - 项目类别:
Standard Grant
Collaborative Research: CSR: Small: Cross-layer learning-based Energy-Efficient and Resilient NoC design for Multicore Systems
协作研究:CSR:小型:基于跨层学习的多核系统节能和弹性 NoC 设计
- 批准号:
2321224 - 财政年份:2023
- 资助金额:
$ 18.54万 - 项目类别:
Standard Grant
Collaborative Research: CSR: Small: Caphammer: A New Security Exploit in Energy Harvesting Systems and its Countermeasures
合作研究:CSR:小型:Caphammer:能量收集系统的新安全漏洞及其对策
- 批准号:
2314680 - 财政年份:2023
- 资助金额:
$ 18.54万 - 项目类别:
Continuing Grant
Collaborative Research: CSR: Small: Cross-layer learning-based Energy-Efficient and Resilient NoC design for Multicore Systems
协作研究:CSR:小型:基于跨层学习的多核系统节能和弹性 NoC 设计
- 批准号:
2321225 - 财政年份:2023
- 资助金额:
$ 18.54万 - 项目类别:
Standard Grant