Asserting causal properties in High Level Synthesis

E. Fabiani, Loïc Lagadec, M. B. Hammouda, C. Teodorov
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引用次数: 1

Abstract

ICs are subject to many causes of malfunction such as aging or aggressive environment, while avoiding unwanted behavior of critical applications is a key issue. Monitoring is a cornerstone of safety policies, as it supports triggering counter measures on demand. High Level Synthesis (HLS) allows to easily implement applications in hardware, and some HLS compliant solutions have been reported. These solutions monitor applications through asserting properties to variables. This paper extends this approach by proposing causal assertions, dedicated to monitoring the evolution of variables over time. Results demonstrate significant gains in term of reactivity and error coverage rate, while keeping the overhead low.
断言高层次综合中的因果性质
ic受到许多故障原因的影响,例如老化或恶劣的环境,而避免关键应用程序的不必要行为是一个关键问题。监测是安全政策的基石,因为它支持根据需要触发应对措施。高级综合(High Level Synthesis, HLS)允许在硬件中轻松实现应用程序,并且已经报道了一些符合HLS的解决方案。这些解决方案通过断言变量的属性来监视应用程序。本文通过提出因果断言扩展了这种方法,致力于监测变量随时间的演变。结果表明,在保持较低开销的同时,在反应性和错误覆盖率方面取得了显著的进步。
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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