SHF:Small:Collabroative Research: Elastic Fidelity: Trading off Computational Accuracy for Energy Efficiency

从微架构到大型数据中心和超级计算机，能源和电力消耗已经成为一个关键问题。保守估计，全球信息技术行业的能源消耗超过400太瓦时，并且还在不断增长，产生的碳足迹与航空业大致相同，占全球排放量的2%。同时，芯片的功率限制阻碍了它们的性能，晶体管几何形状的缩小和低电源电压增加了处理器变化的严重性，导致更高的时序错误率。高错误率会导致产量的显著下降和制造成本的增加，因此需要能够承受这些错误率的设计。本项目旨在理解和探索弹性保真度计算的新范式。弹性保真度计算利用了以下观察结果：许多应用程序可以自然地容忍错误，并且并非所有应用程序都需要始终以100%保真度运行。具体来说，这项工作的目标是了解与数据移动、存储和计算相关的各种硬件组件的错误模型，同时了解应用程序的错误弹性，并重新构建它们以利用弹性保真度。弹性保真度为科学和社会提供了潜在的变革性影响，通过挑战传统智慧，重新审视错误，输出质量和能源效率的相互作用，为一类重要的无处不的流和数据密集型应用。更具体地说，弹性保真度承诺通过降低主要经济部门的运营成本，并通过放松硬件组件的精度要求，使未来芯片的制造成本更低，从而显著节省能源，使计算走上环境可持续发展的道路。这项研究的结果将通过出版物、讲习班、高级课程和在公共领域发布已开发的基础设施来传播。为了加速产生广泛的社会影响，项目参与者将通过介绍和实地考察促进合作和工业参与，从而寻求促进技术转让

Energy and power consumption have become a critical issue ranging from microarchitectures to large-scale data centers and supercomputers. Conservative estimates suggest that the information technology industry world-wide energy consumption is in excess of 400 TWh and growing, generating roughly the same carbon footprint as the airline industry, accounting for 2% of global emissions. At the same time, the power constraints of chips hamper their performance, and the shrinking transistor geometries and low supply voltages increase the severity of processor variations resulting in higher timing error rates. High error rates lead to a significant drop in yield and increased manufacturing costs, calling for designs that are able to withstand them. This project seeks to understand and explore the novel paradigm of elastic fidelity computing. Elastic fidelity computing capitalizes on the observation that many applications can naturally tolerate errors, and that not all of them need to run at 100% fidelity all the time. Specifically, the goal of this work is to understand the error models of various hardware components as they relate to data movement, storage, and computation, and simultaneously to understand the error resiliency of applications and re-architect them to leverage elastic fidelity. Elastic fidelity offers potentially transformative effects for science and society, by challenging conventional wisdom and taking a fresh look at the interplay of errors, output quality and energy efficiency for an important class of pervasive streaming and data-intensive applications. More specifically, elastic fidelity promises significant energy savings that can put computing on an environmentally sustainable path, by lowering the operational costs in major economic sectors, and making the manufacturing of future chips cheaper by relaxing the accuracy requirements of hardware components. The results of this research will be disseminated through publications, workshops, advanced curriculum, and releases of the developed infrastructure in the public domain. To accelerate broad societal effects, the project participants will seek to foster technology transfer by promoting collaboration and industry involvement through presentations and site visit