Programmable stochastic computing: Embracing errors in architecture and design of processors and applications

Rakesh Kumar
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引用次数: 44

Abstract

All of computing today relies on an abstraction where software expects hardware to behave flawlessly for all inputs, under all conditions. While this abstraction worked well historically, due to the relatively small magnitude of variations in hardware and environment, computing will increasingly be done with devices and circuits that are inherently stochastic because of how small they are, or whose behavior is stochastic due to manufacturing and environmental uncertainties. For such emerging circuits and devices, the cost of guaranteeing correctness through guardbanding will be prohibitive, and we may need to rethink the correctness specification hardware needs to meet. Such rethinking may become particularly compelling considering that a significant amount of power is wasted in guaranteeing reliability even for applications that are inherently error tolerant.
可编程随机计算:包含处理器和应用程序的架构和设计中的错误
今天所有的计算都依赖于一种抽象,即软件期望硬件在所有条件下对所有输入都能完美地工作。虽然这种抽象在历史上运行良好,但由于硬件和环境的变化幅度相对较小,计算将越来越多地使用固有随机的设备和电路,因为它们是多么小,或者由于制造和环境的不确定性,其行为是随机的。对于这样的新兴电路和设备,通过保护带保证正确性的成本将是令人望而却步的,我们可能需要重新考虑硬件需要满足的正确性规范。考虑到在保证可靠性方面浪费了大量的功率,甚至对于本质上具有容错性的应用程序,这种重新思考可能会变得特别引人注目。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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