Abstraction-Level Energy Accounting and Optimisation in Many-core Programming Languages

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什么影响。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能力来自动优化应用程序。这项建议提出了一种新的方法，用于在多核系统上以软件为中心的建模、测量、核算和能效优化。能源消耗将与编程语言抽象相匹配，从基本块到函数、循环和并行结构，从变量到数据结构，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记账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量运行时系统。它将开发高能效的操作系统调度，管理异类多核的多任务。该项目的目标是将每瓦特性能提高至少40%。

Energy efficiency is becoming increasingly important in today's world of battery powered mobile devices and power limited servers. Whileperformance optimisation is a familiar topic for developers, few are even aware of the effects that source code changes will have on theenergy profiles of their programs. Without knowledge of these effects, compiler and operating system writers cannot create automatic energyoptimisers. To realise the needed energy savings, we require the capability to track energy consumption and associate it to codeand data at a fine granularity. Furthermore, compilers and operating systems must exploit this capability to optimise applicationsautomatically.This proposal presents a novel approach to software-centric modelling, measurement, accounting and optimisation of energy-efficiency onmany-core systems. Energy consumption will be matched against programming language abstractions, from basic-blocks to functions,loops, and parallel constructs, and from variables to data structures, 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. It will develop energy efficient operating system scheduling that manages multi-tasking for heterogeneous many-cores. The project aims to improve performance per Watt by at least 40%.