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.

能源消耗管理是现代计算平台设计的关键驱动因素，从移动设备（较低的能耗可以延长电池寿命）到台式机和服务器（较低的能耗可以显着降低电力成本和散热）。然而，尽管低功耗设计技术取得了许多进步，但 IT 行业的功耗仍然很大，而且更糟的是，预计在未来几年还会继续增长。计算系统能源需求不断增长的前景对经济、环境和整个社会都有影响。这项研究的总体目标是更容易地降低计算机系统的能耗，同时仍然保持其功能。减少能耗的一种新兴方法是利用单个组件选择的异构性来权衡功耗与性能。这种“协作异构”系统的关键思想是在可行的情况下使用低功耗低性能辅助平台代替高性能高功率部件，从而保持高功率子系统关闭以节省能源。为了充分发挥协作异构系统的潜力，这项研究将开发能够自动生成适合在低功耗资源受限帮助平台上运行的应用程序缩小版本的技术。这项研究将带来应用缩减的新技术、更好的衡量节能的工具，以及对协作异构系统所实现的节能的实证评估。 本研究中开发的技术还可用于生成应用程序的“缩小”版本，以用于异构多​​核架构以及在智能手机等便携式能源受限设备上运行。