Collaborative Research: Feedback-driven Resiliency for Near-Threshold Systems

协作研究：反馈驱动的近阈值系统弹性

• 批准号: 1255892
• 负责人: Vijay Janapa Reddi
• 金额: $ 9.6万
• 依托单位: University of Texas at Austin
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-04-01 至 2017-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1255892&HistoricalAwards=false
• 关键词: Collaborative; Research; Feedback; driven; Resiliency

Near-threshold voltage (NTV) operation has emerged as a promising strategy to improve energy-efficiency by reducing the supply voltage while exploiting parallelism to compensate for frequency loss. NTV processors combined with "Turbo mode" can also offer peak performance, thereby making them suitable for a range of dynamic workload behaviors. Despite the promise, applications of these systems have remained largely elusive due to many issues. This research, involving VLSI circuits, computer architecture, and software systems, for the first time, addresses the reliability challenges of NTV/Turbo mode systems in the context of device aging and variability. Researchers will integrate distributed system monitors and controls to enable power-efficient fault resiliency for on-chip NTV/Turbo-mode cores. The work will lay the foundations for a feedback-directed optimization system that tunes the hardware's execution to meet application requirements by balancing performance, reliability and energy consumption.Our society's productivity and advancements are intimately tied to the predictable and sustainable operation of the world's computing infrastructure. Unfortunately, this trend is beginning to falter due to increasing computer energy consumption. Aggressive energy reductions are tightly coupled with destabilizing computer system performance and longevity. The research will uncover observations that are necessary to overcome the problem in near-threshold voltage systems that hold great promise for further advanced computing. Using an approach spanning both the hardware and software layers, researchers will investigate and develop novel techniques to overcome the energy problem. Such a holistic and joint effort across the layers is the key for ensuring our society's long-term success based on advanced computing.

接近阈值电压（NTV）的操作已成为一种有希望的策略，可以通过降低供应电压来提高能量效率，同时利用并行性来补偿频率损失。 NTV处理器与“涡轮模式”结合使用也可以提供峰值性能，从而使其适合一系列动态工作量行为。尽管有希望，但由于许多问题，这些系统的应用仍然难以捉摸。这项研究首次涉及VLSI电路，计算机架构和软件系统，在设备老化和可变性的背景下，解决了NTV/Turbo模式系统的可靠性挑战。研究人员将集成分布式系统的监视和控件，以实现芯片NTV/涡轮模式内核的发电效率弹性。这项工作将为反馈定向的优化系统奠定基础，该系统通过平衡性能，可靠性和能源消耗来调整硬件的执行，以满足应用程序的要求。我们的社会的生产力和进步与世界计算基础设施的可预测和可持续运行密切相关。不幸的是，由于计算机消耗的增加，这种趋势开始流动。积极的减少能量与计算机系统的性能和寿命不稳定。这项研究将发现在近阈值电压系统中克服问题所必需的观察结果，这些系统对进一步的高级计算具有巨大的希望。研究人员将使用涵盖硬件和软件层的方法，研究和开发新的技术来克服能量问题。在整个层次上如此整体和共同的努力是确保基于高级计算的社会长期成功的关键。