CSR-EHS: Analytical Techniques for Global Energy Minimization of a System of Interacting Components

CSR-EHS：相互作用组件系统全局能量最小化的分析技术

• 批准号: 0509540
• 负责人: Chaitali Chakrabarti
• 金额: $ 40万
• 依托单位: Arizona State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-08-01 至 2010-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0509540&HistoricalAwards=false
• 关键词: CSR; EHS; Analytical; Techniques; Global

Moore's law based doubling of transistor counts and decreasing feature sizes have resulted in a phenomenal increase in performance at the expense of an exponential increase in power consumptionand consequently, heat generation. Scaling according to Moore's law cannot continue unless system-level solutions for power and thermal management are developed. Existing techniques for system-levelpower optimization including dynamic power management (DPM) and dynamic voltage frequency scaling (DVFS) operate in a piece-meal fashion and are sub-optimal in general. Thermal management schemes, to date, are also fairly simple and do not interact with DPM or DVFS policies that control the power consumption and therefore heat generation.This research will provide a unified framework for energy and thermal management of multi-component computing platforms. The framework will be built around optimal analytical solutions to genericproblem formulations that will be applicable at multiple levels of computing system abstraction. The abstraction levels will include board level, multi-processor system-on-chip level and micro-architecturepipeline level. The energy and thermal management strategies developed here will reduce the packaging and cooling costs and increase the lifetime of all computing systems -- from portable devices to highperformance desktops to servers. Furthermore, this research will train students in the diverse fields of energy management of microelectronic systems and thermal management of electronic and non-electronic components.

基于摩尔定律的晶体管数量加倍和特征尺寸的减小导致了性能的显著提高，但代价是功耗和由此产生的热量呈指数级增加。 除非开发出用于功率和热管理的系统级解决方案，否则根据摩尔定律进行的扩展将无法继续。用于系统级功率优化的现有技术（包括动态功率管理（DynamicPowerManagement，DVM）和动态电压频率缩放（DynamicVoltageFrequencyScaling，DVFS））以零碎的方式操作，并且通常是次优的。热管理方案，到目前为止，也是相当简单的，不与控制功耗，因此发热的控制策略或DVFS政策相互作用。这项研究将提供一个统一的框架，多组件计算平台的能源和热管理。 该框架将建立在最佳的分析解决方案genericproblem配方，将适用于多层次的计算系统抽象。抽象层次包括板级、多处理器片上系统级和微体系结构流水线级。这里开发的能源和热管理策略将降低封装和冷却成本，并延长所有计算系统的寿命-从便携式设备到高性能台式机再到服务器。此外，这项研究将培养学生在微电子系统的能源管理和电子和非电子元件的热管理的不同领域。