智能芯片、系统和数据中心采用先进的灵活冷却资源

C. Patel, C. Bash, R. Sharma, A. Beitelmal, C. Malone
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引用次数: 29

摘要

从经济和可持续性的角度来看,能源作为一种关键资源的管理将是未来计算实用程序的一项要求。除了数十亿的计算设备外,半导体技术的小型化将推动微处理器核心的当前功率密度超过200 W/cm/sup /,从而使用主动散热技术。为了促进这种高功率密度源的热管理,并实现能源效率,将需要测量主动冷却资源的应用。基于最大热负荷和缺乏对整个系统需求的了解来管理的最先进的除热技术的应用是不够的。平衡地使用能源,积极地从源头去除热量,同时管理从源头散发的热量,对于降低信息技术设备和服务的总拥有成本是必要的。事实上,基于目前芯片设计的发展轨迹,未来的芯片将具有扩展功率的灵活性,尽管会有一些性能损失。必须利用这种热量产生的可变性来实现基于最有效的冷却资源配置的平衡芯片性能。为了能够“正确”地提供冷却资源,必须在散热堆栈的各个层面(芯片、系统和数据中心)设计灵活性。改变温度和冷却剂质量流量的能力是该散热堆栈所需的高级抽象。有了这些热量产生和热量去除的潜在灵活性,人们可以覆盖一个低成本的传感网络,并创建一个控制系统,可以调节冷却资源,并与电力调度机制“携手”工作,以创建一个能源感知的全球计算实用程序。
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Smart chip, system and data center enabled by advanced flexible cooling resources
The management of energy as a key resource will be a requirement from an economic and sustainability standpoint for the future computing utility. In addition to billions of computing devices, the miniaturization of semiconductor technologies will push the current power density of the microprocessor core over 200 W/cm/sup 2/ resulting in the use of active heat removal techniques. In order to facilitate thermal management of such high power density sources, and to enable energy efficiency, measured application of active cooling resources will be required. State of the art application of heat removal technologies, applied based on maximum heat load and managed with a lack of knowledge of the overall system requirements, will not suffice. Balanced use of energy to actively remove heat from the source, together with management of heat dissipated from the source, will be necessary to reduce the total cost of ownership of information technology equipment and services. Indeed, based on the current trajectory in chip design, future chips will have the flexibility to scale power, albeit at some performance penalty. This variability in heat generation must be utilized to enable balanced chip performance based on the most efficient provisioning of cooling resources. To enable "right" provisioning of cooling resources, flexibility must be devised at all levels of the heat removal stack - chip, system and data center. The ability to change the temperature and coolant mass flow is the required high level abstraction in this heat removal stack. With these underlying flexibilities in heat generation and heat removal, one can overlay a low-cost sensing network and create a control system that can modulate the cooling resources and work "hand in hand" with a power scheduling mechanism to create an energy aware global computing utility.
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