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，了解硬件和软件之间的交互对系统的整体性能和能量消耗的影响是至关重要的。通过对这些相互作用的关注，该项目提出了预测系统性能和能源成本的方法，以适应HAEC架构的愿景。对于我们基于仿真的方法，我们基于复杂的能量测量环境创建系统组件模型，并利用离散事件仿真环境(包括HAEC Box设计的各个部件的模型)来预测执行软件的行为。在第三阶段，该项目将重点关注基于HAEC盒的动态状态的适应性决策的影响。我们将增强以前开发的模拟器，以便在模拟HAEC盒的同时执行HAEC软件。这个运行时模拟环境允许我们在更大的环境中研究适应性决策的影响。

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.