II-New: RIVER: A Research Infrastructure to Explore Volatility, Energy-Efficiency, and Resilience

II-新：RIVER：探索波动性、能源效率和弹性的研究基础设施

• 批准号: 1405959
• 负责人: Andrew Chien
• 金额: $ 99.74万
• 依托单位: University of Chicago
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-08-01 至 2019-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1405959&HistoricalAwards=false
• 关键词: II; New; RIVER; Research; Infrastructure

With the end of Moore's Law, all computing systems (smart phones, watches, laptops, and even the cloud) of the future must intelligently manage energy, parallelism, and even trade reliability and lifetime for increased computing performance and storage capacity. This daunting task involves decision making in real-time (milliseconds), in a system with many devices (billions of transistors), and very complex behavior (100 million line software) with consequences for performance or lifetime as much as 100-fold. The Research Infrastructure to explore Volatility, Energy-efficiency, and Resilience (RIVER) at the University of Chicago will create a scientific vehicle that enables research on this critical management problem for applications that underlie extraordinary information access and intelligent behavior we depend on in today's information systems.The RIVER project will design and create an observable, controllable computing system (a research infrastructure) where reliability, lifetime, power, volatility, parallelism, and performance can be varied across as wide a range as 10,000-fold. Under flexible software control, the system will support power capping, clock speed scaling, and enable deep customization of solid-state storage. All of these properties will be supported with fine-grained control and complemented by extensive detailed monitoring. Research results will involve new ways to control and intelligently manage computing performance and lifetime with quantitative improvements as large as 100-fold; such large change may be breakthrough capabilities for those applications in the new reality of hardware technology. The RIVER project will advance computer systems, software, algorithms, and applications research. Because of the broad societal importance of computing, the potential impact of these core capabilities could touch many aspects of government, education, and commerce. The RIVER system and tools will be used in undergraduate and graduate classes, thus exposing them to realities of future computing, and will be shared with other universities to maximize impact.

随着摩尔定律的终结，所有计算系统（未来的智能手机，手表，笔记本电脑，甚至云）都必须智能管理能源，并行性，甚至贸易可靠性和寿命，以提高计算性能和存储能力。 这项艰巨的任务涉及实时（毫秒），在具有许多设备（数十亿个晶体管）和非常复杂的行为（1亿条线软件）的系统中做出决策，对性能或寿命的后果最多100倍。 芝加哥大学探索波动，能效和弹性（河）的研究基础架构将创建一种科学工具，使我们能够对这一关键管理问题进行研究，以构成我们在当今信息系统中依赖于非凡的信息访问和智能行为的应用。宽度范围为10,000倍。 在灵活的软件控制下，该系统将支持电源封盖，时钟速度缩放，并能够对固态存储进行深入定制。所有这些属性都将通过细粒度的控制支持，并通过广泛的详细监控进行补充。 研究结果将涉及新的方法来控制和智能地管理计算绩效和寿命，并以高达100倍的定量改进；对于新的硬件技术现实中的这些应用程序，如此巨大的变化可能是突破性的功能。 河流项目将推进计算机系统，软件，算法和应用研究。由于计算的社会重要性广泛，这些核心能力的潜在影响可能会触及政府，教育和商业的许多方面。河流系统和工具将用于本科和研究生班，从而将其暴露于未来计算的现实中，并将与其他大学共享以最大程度地发挥影响力。