新兴技术扇出边界逻辑综合的可扩展方法

He-Teng Zhang, J. H. Jiang
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引用次数: 1

摘要

fanout是信号克隆实现逻辑共享的必要元素,但在某些新兴技术中,如量子电路、超导电子电路、光子集成电路和生物电路中,fanout是非常有限的资源。尽管扇出合成已被广泛研究用于高性能电路合成,但先前的方法通常将扇出视为关键路径优化的软约束或特定高扇出网络(如时钟和复位信号)的目标。它们并不特别适合这些新兴技术的电路合成。通过将扇出视为一等公民,在2019年IWLS编程竞赛中提出了扇出有界逻辑合成问题。在本文中,我们提出了一种在现有或扩展的等效信号之间进行风扇输出负载重新分配的获胜方法,该方法在竞争中获得了整体最佳质量。
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SFO: A Scalable Approach to Fanout-Bounded Logic Synthesis for Emerging Technologies
Fanouts are an essential element for signal cloning to achieve logic sharing, but can be a very limited resource in certain emerging technologies, such as quantum circuits, superconducting electronic circuits, photonic integrated circuits, and biological circuits. Although fanout synthesis has been intensively studied for high performance circuit synthesis, prior methods often treat fanout as a soft constraint for critical path optimization or target on specific high-fanout nets such as clock and reset signals. They are not particularly suited for circuit synthesis of these emerging technologies. By treating fanouts as first class citizens, the problem of fanout-bounded logic synthesis was posed as a challenge in the 2019 IWLS Programming Contest. In this paper, we present our winning method, which achieved the overall best quality in the competition, based on fanout load redistribution among existing or expanded equivalent signals.
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