Energy-efficient Computing Through Fine-grained Energy Accounting

在当今由电池供电的移动设备和电力有限的服务器组成的世界里，能源效率变得越来越重要。虽然性能优化对于开发人员来说是一个熟悉的话题，但很少有人意识到源代码更改将对他们的程序的能量分布产生的影响。如果不了解这些影响，编译器和操作系统编写者就无法创建自动能源优化器。为了实现所需的能源节约，我们需要能够跟踪能源消耗并将其与细粒度的代码和数据相关联。此外，编译器和操作系统必须利用这一功能自动优化应用程序。该项目将研究计算机系统中以软件为中心的建模、测量、核算和能源效率优化的新技术。能源消耗将与编程语言抽象相匹配，为开发人员提供他们需要的信息。该项目将使用这种细粒度的核算来构建以能源消耗为目标的新型编译器优化。它将创造出适应环境变化的低能耗运行时系统。

Energy efficiency is becoming increasingly important in today's world of battery-powered mobile devices and power-limited servers. While performance optimisation is a familiar topic for developers, few are even aware of the effects that source code changes will have on the energy profiles of their programs. Without knowledge of these effects, compiler and operating system writers cannot create automatic energy optimisers. To realise the needed energy savings, we require the capability to track energy consumption and associate it with code and data at a fine granularity. Furthermore, compilers and operating systems must exploit this capability to optimise applications automatically. This project will investigate novel techniques for software-centric modelling, measurement, accounting and optimisation of energy efficiency in computing systems. Energy consumption will be matched against programming language abstractions, providing developers with the information that they need. The project will use this fine-grained accounting to build novel compiler optimisations that target energy consumption. It will create low-energy runtime systems that adapt to environmental changes.