Modeling Performance and Power Consumption of Energy-Aware Software on a Highly Adaptive Computing System (A04)

为了在自适应系统中实现高能效，必须了解硬件和软件之间的交互对系统整体性能和能耗的影响。随着这些相互作用的重点，这个项目的进步的方法来预测系统的性能和能源成本，以适应HAEC架构的愿景。对于我们的基于仿真的方法，我们创建一个复杂的能量测量环境的基础上的系统组件模型，并利用离散事件仿真环境，包括模型的各个部分的HAEC盒设计，预测执行的软件的行为。在第三阶段，该项目将侧重于基于HAEC Box动态状态的适应性决策的影响。我们会加强先前开发的仿真器，以便在仿真HAEC Box的同时执行HAEC软件。这个运行时模拟环境使我们能够在更大的背景下研究自适应决策的影响。

In order to achieve high energy efficiency in an adaptive system, it is essential to understand the effect of the interactions between hardware and software on the overall performance and energy consumption of the system. With the focus on those interactions, this project advances the methodologies for predicting the performance and energy costs of a system to suit the vision of the HAEC architecture. For our simulation-based approach, we create system component models based on a sophisticated energy measurement environment and utilize a discrete-event simulation environment comprising models of individual parts of the HAEC Box design, to predict the behavior of the executed software. In Phase III, this project will focus on the impact of adaptivity decisions based on the dynamic state of the HAEC Box. We will enhance the previously developed simulator to execute HAEC software concurrently to the simulation of the HAEC Box. This runtime simulation environment allows us to study the impact of adaptivity decisions in a greater context.