CAREER: Software Level Power Analysis and Optimization

这项研究提出了新的技术，在软件级的功耗分析和优化。 具体地，该问题在通用或专用处理器的上下文中被解决。 此外，还考虑了具有多个指令问题或乱序执行的处理器或基于超长指令字（VLIW）范式的架构的情况。 所提出的模型的主要特点是它们依赖于输入数据，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，以减少指令序列的能量。 这项研究将使任何能源/性能权衡目前在今天的处理器的评估。 此外，基于在专用处理器上运行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功耗作为进一步的设计约束。

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.