SHF: Small: Application Shrinking for Reducing Energy Consumption

SHF：小型：缩小应用范围以降低能耗

• 批准号: 1018632
• 负责人: Sorin Lerner
• 金额: $ 50万
• 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: 2010
• 资助国家: 美国
• 起止时间: 2010-08-01 至 2014-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1018632&HistoricalAwards=false
• 关键词: SHF; Small; Application; Shrinking; Reducing

The management of energy consumption is a key driver in the design of modern computing platforms, from mobile devices (where lower consumption leads to better battery lifetimes) to desktop and servers (where lower consumption leads to significant decreases in electricity costs and heat dissipation). However, despite numerous advances in low power design technologies, the power consumption of the IT industry remains significant and worse, is slated to grow in the coming years. The prospect of growing energy demands for computing systems has implications for the economy, the environment and for society in general. The broad goal of this research is to make it easier to reduce the energy consumption of computer systems, while still maintaining their functionality.An emerging way to reduce energy consumption is to leverage heterogeneity in the choice of individual components to tradeoff power consumption versus performance. The key idea of such "Collaborative Heterogeneous" systems is to use low-power low-performance helper platforms in lieu of high-performance high-power parts whenever feasible, thus keeping the high-power subsystems shutdown to save energy. To unleash the full potential of Collaborate Heterogeneous systems, this research will develop techniques that can automatically generate shrunk versions of applications that are suitable for running on low-power resource-constrained helper platforms. This research will lead to new techniques for application shrinkage, to better tools for measuring energy savings, and to an empirical evaluation of the energy savings made possible by Collaborative Heterogeneous systems. The techniques developed in this research will also be useful for generating "shrunk" versions of applications for use in heterogeneous multi-core Architectures and for running on portable energy-constrained devices like SmartPhones.

能源消耗的管理是现代计算平台设计的关键驱动力，从移动设备（较低的消耗导致电池寿命更好）到台式机和服务器（较低的消耗导致电力成本和散热耗散的大幅下降）。但是，尽管低功率设计技术取得了许多进步，但IT行业的功耗仍然很大，更糟糕的是，未来几年仍将增长。对计算系统的能源需求不断增长的前景对经济，环境和整个社会有影响。这项研究的广泛目标是使减少计算机系统的能源消耗变得更容易，同时仍保持其功能。减少能源消耗的新兴方法是利用异质性在选择单个组件方面以折衷的功耗与性能进行交易。这种“协作异质”系统的关键思想是在可行的情况下使用低功率低绩效助手平台代替高性能的高功率部件，从而使高功率子系统关闭以节省能源。为了释放合作系统的全部潜力，这项研究将开发可以自动生成适合在低功耗资源受限的辅助助手平台上运行的应用程序的缩减版本的技术。这项研究将导致应用收缩的新技术，以更好地衡量节能的工具，并对协作异质系统对节能的实证评估进行经验评估。 这项研究中开发的技术也将有助于生成用于异质多核体系结构的“缩水”应用程序，以及在智能手机等便携式能源约束设备上运行。