AR-SFQ: 采用α单元设计的异步复位库
AR-SFQ: Asynchronous Reset Library Using α-Cell Design
AI总结：
针对RSFQ电路时钟网络复杂、吞吐量低且延迟高的问题，本研究提出集成α单元的AR-SFQ异步单元库，通过双向信号路径简化时钟网络，经仿真验证可靠高效，可支撑高性能计算框架实现。
摘要：
快速单磁通量子（RSFQ）电路是发展最成熟的超导体逻辑系列。然而，每个单元都需要时钟信号，且流水线深度大，导致时钟网络复杂、偏斜严重，进而造成RSFQ的吞吐量较低、延迟较高。本研究提出了一种集成α单元的异步RSFQ单元库，可在RSFQ电路中实现双向信号路径。α单元允许信号反向传输，从而降低了对大型时钟网络的需求，减少了布线资源占用，还能实现紧凑的电路设计。我们通过模拟仿真并借助自研优化工具，验证了该库的可靠性与效率。异步复位RSFQ（AR-SFQ）将为可扩展高性能计算框架（如状态机、神经形态计算及高扇入电路）的高效实现提供支撑。
英文摘要：
Rapid Single Flux Quantum (RSFQ) circuits are the most evolved superconductor logic family. However, the need to clock each cell and the deep pipeline causes a complex clock network with a large skew. This results in lower throughput and high latency in RSFQ. This work introduces an asynchronous RSFQ cell library that incorporates the α-cell, enabling bidirectional signal paths in RSFQ circuits. The α-cell mitigates the need for a large clock network by allowing reverse signal flow, minimizing routing, and enabling compact circuit designs. We demonstrate the library's reliability and efficiency by analog simulations and using in-house optimization tools. The asynchronous reset RSFQ (AR-SFQ) will enable efficient implementation of scalable, high-performance computing frameworks, such as state machines, neuromorphic computing, and higher fan-in circuits.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
