Olivia Chen

Orcid: 0000-0002-2208-0262

According to our database1, Olivia Chen authored at least 20 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
A Life-Cycle Energy and Inventory Analysis of Adiabatic Quantum-Flux-Parametron Circuits.
CoRR, 2023

Design and Implementation of an FFT-Based Neural Network Accelerator Using Rapid Single-Flux-Quantum Technology.
Proceedings of the 21st IEEE Interregional NEWCAS Conference, 2023

SupeRBNN: Randomized Binary Neural Network Using Adiabatic Superconductor Josephson Devices.
Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

DLPlace: A Delay-Line Clocking-Based Placement Framework for AQFP Circuits.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

Exact Logic Synthesis for Reversible Quantum-Flux-Parametron Logic.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

BOMIG: A Majority Logic Synthesis Framework for AQFP Logic.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Invited: Algorithm-Software-Hardware Co-Design for Deep Learning Acceleration.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

A Global Optimization Algorithm for Buffer and Splitter Insertion in Adiabatic Quantum-Flux-Parametron Circuits.
Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

Performance Assessment of an Extremely Energy-Efficient Binary Neural Network Using Adiabatic Superconductor Devices.
Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023

2022
Design and Implementation of Stochastic Neural Networks Using Superconductor Quantum-Flux-Parametron Devices.
Proceedings of the 35th IEEE International System-on-Chip Conference, 2022

A Study on the Efficient Design of Adders Using Adiabatic Quantum-Flux-Parametron Circuits.
Proceedings of the 11th IEEE Global Conference on Consumer Electronics, 2022

A Neural Network Processing Unit Using Adiabatic Quantum-Flux-Parametron Superconducting Technology.
Proceedings of the 11th IEEE Global Conference on Consumer Electronics, 2022

TAAS: a timing-aware analytical strategy for AQFP-capable placement automation.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021
Towards AQFP-Capable Physical Design Automation.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

2020
ASAP: An Analytical Strategy for AQFP Placement.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

2019
A Stochastic-Computing based Deep Learning Framework using Adiabatic Quantum-Flux-Parametron SuperconductingTechnology.
CoRR, 2019

IDE Development, Logic Synthesis and Buffer/Splitter Insertion Framework for Adiabatic Quantum-Flux-Parametron Superconducting Circuits.
Proceedings of the 2019 IEEE Computer Society Annual Symposium on VLSI, 2019

A stochastic-computing based deep learning framework using adiabatic quantum-flux-parametron superconducting technology.
Proceedings of the 46th International Symposium on Computer Architecture, 2019

A Buffer and Splitter Insertion Framework for Adiabatic Quantum-Flux-Parametron Superconducting Circuits.
Proceedings of the 37th IEEE International Conference on Computer Design, 2019

A Majority Logic Synthesis Framework for Adiabatic Quantum-Flux-Parametron Superconducting Circuits.
Proceedings of the 2019 on Great Lakes Symposium on VLSI, 2019


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