SHF: Small: Cooling, energy and performance management in computing systems

在当今的计算系统中，工作负载调度器以最佳性能为目标，但不了解系统的热和电源现实。类似地，冷却子系统控制器只接收来自热传感器的数据作为其输入，因此完全忽略了工作负载调度和电源管理决策。尽管这些系统都共享一个计算机基础设施，但它们的操作是单独优化的，导致效率低下。这一建议远远超出了之前的工作，即通过在很大程度上忽略系统的其余部分来优化cpu与内存分开的热问题，以了解cpu， gpu等硬件加速器，内存和硬盘与其相关冷却子系统之间复杂的相互作用。pi建议为这些系统制定联合控制政策，并量化各自的利弊。该项目计划研究和设计各种实施冷却方式的控制策略，同时使用风扇和液冷系统（例如微通道与带外部泵的散热器中的通道）。该项目还将测试在UCSD获得的模块化数据中心容器中可用的计算系统的想法，这是最近获得的NSF MRI （GreenLight）资助的一部分。研究生和本科生将参与拟议研究的各个部分，并帮助将这项工作与其他NSF资助的项目联系起来。开发的研究成果、工具和课程材料将免费、轻松地分发给整个工程社区。此外，PI还创建了一个隶属于加州大学圣地亚哥分校计算机科学与工程系的新项目，其目标是确保学术和工业环境之间的思想、资金和人员的无缝转移。

In today's computing systems workload schedulers target best performance, but are unaware of thermal and power realities of the system. Similarly, the cooling subsystem controllers take only data from thermal sensors as their input and are thus totally oblivious to workload scheduling and power management decisions. Even though these systems all share a single computer infrastructure, their operation is optimized separately, resulting in inefficiencies. This proposal goes well beyond previous work on optimizing thermal problems in CPUs separately from memory by largely neglecting the rest of the system, to solutions that understand the complex interplay between CPUs, HW accelerators such as GPUs, memory and hard disks with their related cooling subsystems. The PIs propose to develop joint control policies for such systems and to quantify the respective benefits and disadvantages. The project plans to study and design control policies for various ways of implementing cooling, using both fans and liquid cooling systems (e.g micro-channel vs. channels in a heat sink with external pump). The project will also test ideas on computing systems available in a modular data center container obtained at UCSD as a part of recently awarded NSF MRI (GreenLight) grant. Graduate and undergraduate students will be involved in various parts of the proposed research and help in connecting this work with other NSF sponsored projects. The results of research, tools and coursework materials developed will be freely and easily distributed to engineering community at large. In addition, the PI has created a new program affiliated with the Computer Science and Engineering department at the UCSD whose target is to ensure seamless transfer of ideas, funds and people between academic and industrial settings.