Laboratory
C2Lab
Affiliation
Kyushu University
Location
Fukuoka, Japan
C squared Lab, Cryogenic Computing Laboratory
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publication_types 30

Cryogenic Computing Laboratory / Kyushu University

1

A buffer and splitter insertion framework for adiabatic quantum-flux-parametron superconducting circuits A global optimization algorithm for buffer and splitter insertion in adiabatic quantum-flux-parametron circuits A majority logic synthesis framework for adiabatic quantum-flux-parametron superconducting circuits A Neural Network Processing Unit Using Adiabatic Quantum-Flux-Parametron Superconducting Technology A stochastic-computing based deep learning framework using adiabatic quantum-flux-parametron superconducting technology A study on the efficient design of adders using adiabatic quantum-flux-parametron circuits A Study on the Neural Network Processing Units Using Adiabatic Quantum-Flux-Parametron Superconducting Technology Algorithm-software-hardware co-design for deep learning acceleration Analysis of computational energy efficiency in single-flux-quantum electronics by implementing an integer-based hardware-algorithm AQFPTX: Adiabatic quantum-flux-parametron timing eXtraction tool ASAP: An analytical strategy for AQFP placement BOMIG: A majority logic synthesis framework for AQFP logic Comprehensive Automated Timing Extraction Methodology for Characterizing an Adiabatic Quantum-Flux-Parametron Logic Cell Library Design and Evaluation of Deep Learning Accelerators Using Superconductor Logic Families Design and Implementation of an FFT-Based Neural Network Accelerator Using Rapid Single-Flux-Quantum Technology Design and implementation of stochastic neural networks using superconductor Quantum-Flux-Parametron devices Design of an extremely energy-efficient hardware algorithm using adiabatic superconductor logic DLPlace: A delay-line clocking-based placement framework for AQFP circuits Exact logic synthesis for reversible quantum-flux-parametron logic Graph Convolutional Network Acceleration Using Adiabatic Superconductor Josephson Devices IDE development, logic synthesis and buffer/splitter insertion framework for adiabatic quantum-flux-parametron superconducting circuits Late Breaking Result: AQFP-aware Binary Neural Network Architecture Search Performance assessment of an extremely energy-efficient binary neural network using adiabatic superconductor devices Recent Progress on the Development of EDA Tools for Adiabatic Quantum-Flux-Parametron VLSI Circuits SupeRBNN: A Randomized Binary Neural Network Using Adiabatic Superconductor Josephson Devices SupeRBNN: Randomized binary neural network using adiabatic superconductor Josephson devices SuperFlow: A Fully-Customized RTL-to-GDS Design Automation Flow for Adiabatic Quantum-Flux-Parametron Superconducting Circuits Synthesis Flow for Cell-Based Adiabatic Quantum-Flux-Parametron Logic Circuit Generation TAAS Towards aqfp-capable physical design automation