SHF: Small: Cross-Layer Solutions for Sustainable and Reliable Computing Systems

SHF：小型：可持续、可靠计算系统的跨层解决方案

• 批准号: 1218474
• 负责人: Vijay Janapa Reddi
• 金额: $ 30万
• 依托单位: University of Texas at Austin
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-08-01 至 2015-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1218474&HistoricalAwards=false
• 关键词: SHF; Small; Cross; Layer; Solutions

Over the past decade, energy efficiency emerged as a first-order design challenge to developers across all layers of the computing stack, from microprocessor architects to large-scale datacenter operators. Unfortunately, in the future, operating a system close to its efficient design point for power will make the system susceptible to unreliability, whereas allowing margins will make the system inefficient. Therefore, understanding the interplay between power, performance and reliability is the next essential step for building sustainable computing systems in the future.To this end, research under this proposal investigates new techniques to build computing systems that achieve both high energy efficiency and high reliability, but at a low cost to enable broader adoption of the techniques by our society. The investigators propose a resilient hardware/software co-designed machine organization that eliminates inefficiencies that arise from circuit- and architectural-level techniques that focus only on energy efficiency. The investigators' system optimizes reliability, energy, and performance in a coordinated manner. In this system, software continuously monitors execution and it dynamically adapts hardware resources based on feedback. The system automatically makes calculated efforts to characterize operational inefficiencies, and attempts to eliminate the inefficiencies by carefully relaxing the robustness of the system without compromising correctness. To characterize these inefficiencies and train the system, the investigators study and develop various algorithms, tools, and methodologies across the hardware and software boundaries.

在过去的十年中，从微处理器架构师到大型数据中心运算符，能源效率成为对计算堆栈所有层的开发人员的一阶设计挑战。不幸的是，将来，操作接近其有效的电源设计点的系统将使该系统容易受到不可靠性的影响，而允许利润率将使系统效率低下。因此，理解功率，性能和可靠性之间的相互作用是将来建立可持续计算系统的下一个基本步骤。为了解决这一目标，根据该提案的研究研究了新的技术来构建实现高能源效率和高可靠性的计算系统，但是我们社会以低成本的价格促进更广泛的成本采用。调查人员提出了一个有弹性的硬件/软件共同设计的机器组织，该组织消除了仅针对能源效率的电路和建筑级技术引起的效率低下。研究人员的系统以协调的方式优化了可靠性，能源和性能。在此系统中，软件不断监视执行，并根据反馈动态调整硬件资源。该系统会自动做出计算的努力来表征运行效率低下的效率，并试图通过仔细放松系统的鲁棒性而不会损害正确性来消除效率低下。为了表征这些效率低下并训练系统，研究人员在硬件和软件边界上研究和开发各种算法，工具和方法。