AR-SFQ: Asynchronous Reset Library Using α-Cell Design
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arXiv
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| Hauptverfasser: | , , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866915109544132608 |
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| author | Kopur, Yasemin Ucpinar, Beyza Zeynep Karamuftuoglu, Mustafa Altay Razmkhah, Sasan Pedram, Massoud |
| author_facet | Kopur, Yasemin Ucpinar, Beyza Zeynep Karamuftuoglu, Mustafa Altay Razmkhah, Sasan Pedram, Massoud |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_09449 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | AR-SFQ: Asynchronous Reset Library Using α-Cell Design Kopur, Yasemin Ucpinar, Beyza Zeynep Karamuftuoglu, Mustafa Altay Razmkhah, Sasan Pedram, Massoud Superconductivity 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. |
| title | AR-SFQ: Asynchronous Reset Library Using α-Cell Design |
| topic | Superconductivity |
| url | https://arxiv.org/abs/2501.09449 |