CAREER: Software Level Power Analysis and Optimization

这项研究为软件级的功耗分析和优化提出了新的技术。具体地说，该问题是在通用或专用处理器的环境中解决的。此外，还考虑了具有多个指令发布或无序执行的处理器或基于超长指令字(VLIW)范例的体系结构的情况。所提出的模型的主要特征是它们对输入数据的依赖性，从而允许配置文件驱动的优化。基于所提出的模型，在编译和运行时提出了适当的优化技术，以降低指令序列的能量。这项研究将使评估当今处理器中存在的任何能源/性能权衡成为可能。此外，基于对运行在专用应用处理器上的嵌入式软件的功率估计，混合硬件/软件系统的协同设计可以被扩展为除了性能之外还包括作为进一步的设计约束的功耗。

This research proposes novel techniques for power analysis and optimization at software level. Specifically, the problem is addressed in the context of both general purpose or application specific processors. In addition, the case of processors with multiple instruction issues or out-of-order execution, or architectures based on the Very Long Instruction Word (VLIW) paradigm are also considered. The main feature of the proposed models is their dependency on input data, allowing profile-driven optimizations. Based on the proposed models, appropriate optimization techniques at compile-and run-time are proposed for reducing the energy of the instruction sequence. This research will enable the assessment of any energy/performance trade-offs present in today's processors. Also, based on a power estimate of the embedded software running on application specific processors, the co-design of mixed hardware/software systems can be extended to incorporate as a further design constraint power consumption, in addition to performance.