Power Analysis and Optimization Methodologies for Wireless Embedded Nanochips

无线嵌入式纳米芯片的功耗分析和优化方法

• 批准号: 9912414
• 负责人: Sujit Dey
• 金额: $ 28.4万
• 依托单位: University of California-San Diego
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-09-01 至 2004-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9912414&HistoricalAwards=false
• 关键词: Power; Analysis; Optimization; Methodologies; Wireless

This research develops advanced methodologies and tools to enable the design of low-energy embedded system-on-nanochips for future wireless appliances. A system-level power analysis technique is developed which considers the effects of wireless protocols, architectural choices, and nanometer technologies on the energy consumption of the hardware, software, and RF components of a wireless embedded nanochip. Since adaptive on-chip communication is fundamental to such heterogeneous component-based nanochips, analysis and optimization techniques are developed for low-energy on-chip communication architectures and protocols. Static and adaptive analysis and management techniques are developed to extend the battery life of the mobile systems. The techniques are being applied to the design of an adaptive single-chip radio that is being developed to enable wireless multimedia communications.

这项研究开发了先进的方法和工具，使低功耗嵌入式系统的纳米芯片的设计，为未来的无线电器。一个系统级的功耗分析技术的开发，考虑无线协议的影响，架构的选择，和纳米技术的硬件，软件和RF组件的无线嵌入式纳米芯片的能量消耗。由于自适应片上通信是这种异构的基于组件的纳米芯片的基础，分析和优化技术开发的低能量片上通信架构和协议。静态和自适应分析和管理技术的发展，以延长电池寿命的移动的系统。这些技术正被应用于设计的自适应单芯片无线电，正在开发，使无线多媒体通信。