A Self-regulating Compiler Framework for NoC Based CMPs

过度耗电正成为我们国家日益重要的问题。大公司、数据处理中心和政府实验室目前正在花费数十亿美元来冷却和供电他们的计算基础设施。此外，计算机耗电量过大会导致温度过高，最终影响其可靠性。这项研究涉及开发基于软件的新方法，以在保持高性能的同时降低功耗和缓解相关的热问题。研究人员专注于基于片上网络(NoC)的片上多处理器(CMP)系统的运行时自适应技术。所开发的技术是动态编译器的一部分，该动态编译器在运行时观察应用程序和机器状态，并使用一组助手线程自动使执行适应动态变化的条件。这些辅助线程和应用线程共享相同的CMP/NoC资源，并在运行时进行协作和调整，以确保功耗可控，不会超过热限制，并保持所需的性能级别。

Excessive power consumption is becoming an increasingly important issue for our nation. Major companies, data processing centers, and government labs are currently spending billions of dollars to cool and power their computing infrastructures. In addition, excessive power consumption by a computer leads to very high temperatures, eventually affecting its reliability. This research involves developing novel, software-based approaches to reduce power consumption and to mitigate associated thermal issues, while still maintaining high performance.The investigators focus on runtime adaptation techniques for NoC (Network-on-Chip) based CMP (Chip Multiprocessor) systems. The developed techniques are part of a dynamic compiler which observes both application and machine status at runtime, and adapts execution automatically to dynamically changing conditions using a set of helper threads. These helper threads and application threads share the same CMP/NoC resources, and cooperate and adapt at runtime to ensure power consumption is under control, no thermal limits are exceeded, and the required level of performance is maintained.