SHF: Small: Power Husbanding via Architectural Techniques (PHAT)

功耗已经成为计算机系统设计的主要制约因素。ITRS路线图指出：“电源管理现在是大多数应用领域的主要问题。”最坏情况下的功率配置已经让位于功率上限，这在必要时限制了性能。不幸的是，功率上限类似于停电，它惩罚的是电力公用事业的所有客户，而不是那些最能忍受停电的客户。本研究的主题是：计算机系统应将电力视为一种宝贵的资源，以节约的方式进行指导和管理；利用：为了好的目的和最好的利益而使用或雇用该研究将通过架构技术来调查有效的电源管理，这些架构技术可以在不同硬件组件之间适当地转移电源，就像良好的预算将资金用于最有效的地方一样。电力管理解决方案包括(a)用于估计资源使用的低开销在线机制，(b)用于动态改变资源运行水平的低成本技术，以及(c)用于达到电力高效运行配置的有效策略。研究将扩展以前在可重构缓存方面的成就，以实现细粒度的在线控制，扩展以前的和开发新的核心架构，以实现性能和功率的比例缩放，并适应和开发新的存储系统，通常占系统功率的30%。功率管理旨在使计算更加节能，这对国家和全球都具有重要意义。pi将继续通过学生、课程、讲座、工业附属机构、商业影响和开源模拟基础设施来推进最先进的技术。

Power consumption has become a dominant design constraint for computer systems. The ITRS Roadmap states: "power management is now the primary issue across most application segments." Worst-case power provisioning has given way to power capping, which throttles performance when necessary. Unfortunately, power-capping is analogous to brown-outs, which penalize all customers of an electrical utility, rather than those who can best tolerate loss of power. The thesis of this research is that computer systems should treat power as a precious resource to be husbanded: To direct and manage with frugality; to use or employ to good purpose and the best advantage. The research will investigate effective power husbanding via architectural techniques that appropriately shift power between different hardware components, much as good budgeting applies money where it is most effective. Power husbanding solutions include (a) low-overhead online mechanisms to estimate resource use, (b) low-cost techniques for dynamically changing a resource's operational level, and (c) effective policies for reaching power efficient operating configurations. Research will extend previous accomplishments on reconfigurable caches to enable online control at fine granularities, extend previous and develop new core architectures to enable proportional scaling of performance and power, and adapt and develop new memory systems which often accounting for 30% of system power.Power husbanding seeks to make computation more power efficient, which has important national and global implications. The PIs will continue to advance the state-of-the-art through students, courses, talks, industrial affiliates, commercial influence, and open-source simulation infrastructure.