Energy-efficient Computing Through Fine-grained Energy Accounting

通过细粒度能源核算实现节能计算

• 批准号: 2883684
• 金额: --
• 依托单位: University of Leeds
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2883684
• 关键词: Energy; efficient; Computing; Through; Fine

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.

在当今电池供电的移动的设备和功率受限的服务器的世界中，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对其程序的能量配置文件的影响。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量优化器。为了实现所需的节能，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种能力来自动优化应用程序。该项目将研究以软件为中心的建模，测量，会计和优化计算系统中的能源效率的新技术。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会计来构建针对能耗的新型编译器优化。它将创建适应环境变化的低能耗运行系统。