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

SHF：小型：计算系统中的冷却、能源和性能管理

• 批准号: 1218666
• 负责人: Tajana Rosing
• 金额: $ 45万
• 依托单位: University of California-San Diego
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-07-01 至 2015-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1218666&HistoricalAwards=false
• 关键词: SHF; Small; Cooling; energy; performance

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.

在当今的计算系统中，工作负载管理器以最佳性能为目标，但不知道系统的热和功率现实。 类似地，冷却子系统控制器仅将来自热传感器的数据作为其输入，并且因此完全忽略工作负载调度和功率管理决策。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以前通过在很大程度上忽略系统的其余部分来优化CPU与内存中的热问题的工作，而是解决了CPU、硬件加速器（如GPU）、内存和硬盘及其相关冷却子系统之间的复杂相互作用。 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冷却方式的控制策略，使用风扇和液体冷却系统（例如微通道与外部泵散热器中的通道）。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，作为最近获得的NSF MRI（GreenLight）赠款的一部分。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赞助的项目联系起来。研究成果，工具和课程材料的开发将自由和容易地分发给广大工程界。 此外，PI还创建了一个隶属于UCSD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。