Design of Small RSFQ Microprocessor Based on Cell-Based Top-Down Design Methodology(<特集>Special Issue on Superconductive Electronics)
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概要
- 論文の詳細を見る
We have proposed a top-down design methodology for the RSFQ logic circuits based on the Binary Decision Diagram (BDD). In order to show the effectiveness of the methodology, we have designed a small RSFQ microprocessor based on simple architecture. We have compared the performance of the 8-bit RSFQ microprocessor with its CMOS version. It was found that the RSFQ system is superior in terms of the operating speed though it requires extremely large area. We have also implemented and tested a 1-bit ALU that is one of the important components of the microprocessor and confirmed its correct operation.
- 社団法人電子情報通信学会の論文
- 2002-03-01
著者
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Yoshikawa Nobuyuki
Department Of Electrical And Computer Engineering Yokohama National University
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MATSUZAKI Futabako
Department of Electrical and Computer Engineering, Yokohama National University
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YODA Kenichi
Department of Electrical and Computer Engineering, Yokohama National University
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MOTOORI Kei
Department of Electrical and Computer Engineering, Yokohama National University
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Motoori Kei
Department Of Electrical And Computer Engineering Yokohama National University
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Yoda Kenichi
Department Of Electrical And Computer Engineering Yokohama National University
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Matsuzaki Futabako
Department Of Electrical And Computer Engineering Yokohama National University
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- Statistical Evaluation of a Superconductive Physical Random Number Generator
- 100GHz Demonstrations Based on the Single-Flux-Quantum Cell Library for the 10kA/cm^2 Nb Multi-Layer Process
- Direct measurements of propagation delay of single-flux-quantum circuits by time-to-digital converters
- High-End Server Based on Complexity-Reduced Architecture for Superconductor Technology(Special Issue on Superconductive Electronics)
- FOREWORD
- Design of Small RSFQ Microprocessor Based on Cell-Based Top-Down Design Methodology(Special Issue on Superconductive Electronics)
- C-8-20 Analysis of Computational Energy Efficiency in Single-Flux-Quantum Electronics by Implementing Integer-Based Hardware-Algorithm