Fabrication of Adiabatic Quantum-Flux-Parametron Integrated Circuits Using an Automatic Placement Tool Based on Genetic Algorithms
Fabrication of Adiabatic Quantum-Flux-Parametron Integrated Circuits Using an Automatic Placement Tool Based on Genetic Algorithms
复制标题
使用基于遗传算法的自动布局工具制造绝热量子通量参量集成电路
DOI:
10.1109/tasc.2019.2900220
复制
发表时间:
2019
影响因子:
1.8
通讯作者:
Yoshikawa Nobuyuki
中科院分区:
文献类型:
--
作者:
Tanaka Tomoyuki;Ayala Christopher L.;Xu Qiuyun;Saito Ro;Yoshikawa Nobuyuki
Adiabatic quantum-flux-parametron (AQFP) logic is a kind of superconductor logic family that has higher energy efficiency compared to conventional rapid single-flux-quantum logic circuits. When compared to state-of-the-art CMOS technology, AQFP logic circuits have the advantage of relatively fast clock speeds (5-10 GHz) and five-six orders of magnitude reduction in energy, but it has some challenges. One problem is that the current design environment for AQFP integrated circuit design is insufficient, especially for large-scale circuits. Without a suitable design environment, the design of large AQFP integrated circuits is a very complicated process as it is time consuming and is prone to human error. To improve the design flow for large-scale AQFP logic circuits, we developed a tool that can efficiently place AQFP logic cells on a chip using evolutionary computation. We executed this program on three different benchmark circuits and confirm that the quality-of-results of the circuit placement becomes better. The wiring length can be reduced by up to 27.9%, which in turn reduces the number of Josephson junctions by 12.7%, from which they were originally used in inserted buffers for long-wire repeaters. To evaluate how well our tool can produce fabrication-ready designs, we designed and fabricated one of the benchmark circuits, namely a 4-bit shifter-rotator using our developed tool. We confirm partial operation.
DOI:
10.1016/s0893-6080(98)00089-6
发表时间:
1998
期刊:
Neural networks : the official journal of the International Neural Network Society
影响因子:
--
作者:
C. Aykanat;T. Bultan;Ismail Haritaoglu
通讯作者:
Ismail Haritaoglu
影响因子:
1.8
作者:
Manheimer, Marc A.
通讯作者:
Manheimer, Marc A.