SHF: Small: Taming the Combinatorial Explosion of Power Management for Future Manycore Systems

SHF：小型：应对未来众核系统电源管理的组合爆炸

• 批准号: 1319755
• 负责人: Abhishek Bhattacharjee
• 金额: $ 45万
• 依托单位: Rutgers University New Brunswick
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-08-01 至 2019-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1319755&HistoricalAwards=false
• 关键词: SHF; Small; Taming; Combinatorial; Explosion

We will soon enter the manycore era, in which systems will includehundreds of cores, large multi-level cache structures, sophisticatednetworks-on-chip, many memory controllers, and huge amounts of mainmemory. These systems will also embody a rich array of powermanagement mechanisms and will strive to achieve high performanceunder various power, energy, and thermal constraints. Unfortunately,the uncoordinated power management of a system's components canproduce oscillating behavior, higher power/energy/temperature, and/orexcessive performance degradation. Given their large number ofhardware components and the wide spectrum of available mechanisms,manycore systems will have to coordinate the actions of their variouspower managers. Moreover, to decide on a (coordinated) course ofaction, these systems will have to comprehensively and rigorouslyreason about various performance and power/energy/temperaturetradeoffs.This project will develop global power coordination (GPC) to manage thecombinatorial explosion of possible power management configurations inmanycore systems. GPC will be realized using an engine that analyzesthe space of possible power state configurations for the entiresystem. It will then decide which configurations are most appropriate,and use per-component power managers to actuate the proper settings.To optimize the search for good configurations, GPC will considergreedy search heuristics that prune the space by relying on noveltechniques that estimate the benefit of power state changes, groupresources with similar power management hooks, and leverage priorobserved behavior and a hierarchical organization.This project will broadly impact society in many ways. First,addressing the power, energy, and temperature problems of manycoresystems can greatly impact the datacenters that run our Internetservices and the high-performance systems that advance our science.Second, tackling these problems will address one of the keytechnological barriers in the computing industry. Third, the projectwill educate graduate, undergraduate, and high-school students, whilebroadening the participation of underrepresented groups in computerscience.

我们将很快进入多核时代，在这个时代，系统将包括数百个核、大型多级缓存结构、复杂的片上网络、许多内存控制器和大量的主存储器。这些系统还将包含丰富的电源管理机制，并将努力在各种功率，能量和热限制下实现高性能。不幸的是，系统组件的不协调电源管理可能会产生振荡行为，更高的功率/能量/温度和/过度的性能下降。考虑到它们的大量硬件组件和广泛的可用机制，许多核心系统将不得不协调它们的各种电源管理器的动作。此外，为了决定一个（协调的）过程操作，这些系统必须全面而严格地考虑各种性能和功率/能量/温度权衡。该项目将开发全球电源协调（GPC），以管理多核心系统中可能的电源管理配置的组合爆炸。GPC将通过分析整个系统可能的功率状态配置空间的引擎来实现。然后，它将决定哪些配置是最合适的，并使用每个组件的电源管理器来启动适当的设置。为了优化对良好配置的搜索，GPC将考虑贪婪搜索启发式，这种启发式通过依赖新技术来减少空间，这些新技术可以估计电源状态变化的好处，将具有类似电源管理关联的压力分组，并利用先前观察到的行为和分层组织。这个项目将在许多方面对社会产生广泛影响。首先，解决多核心系统的电力、能源和温度问题会极大地影响运行互联网服务的数据中心和推动科学发展的高性能系统。其次，解决这些问题将解决计算行业的一个关键技术障碍。第三，该项目将教育研究生、本科生和高中生，同时扩大未被充分代表的群体对计算机科学的参与。