Sungju Ryu

Orcid: 0000-0002-0254-391X

According to our database1, Sungju Ryu authored at least 21 papers between 2016 and 2024.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Mobileware: Distributed Architecture With Channel Stationary Dataflow for MobileNet Acceleration.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., September, 2024

Statues: Energy-Efficient Video Object Detection on Edge Security Devices with Computational Skipping.
Proceedings of the 29th ACM/IEEE International Symposium on Low Power Electronics and Design, 2024

2023
Binaryware: A High-Performance Digital Hardware Accelerator for Binary Neural Networks.
IEEE Trans. Very Large Scale Integr. Syst., December, 2023

Area-efficient AdderNet hardware accelerator with merged adder tree structure.
IEICE Electron. Express, December, 2023

Teleport: A High-Performance ShiftNet Hardware Accelerator with Fused Layer Computation.
Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2023

2022
BitBlade: Energy-Efficient Variable Bit-Precision Hardware Accelerator for Quantized Neural Networks.
IEEE J. Solid State Circuits, 2022

2021
High-throughput Near-Memory Processing on CNNs with 3D HBM-like Memory.
ACM Trans. Design Autom. Electr. Syst., 2021

Variation-Tolerant Elastic Clock Scheme for Low-Voltage Operations.
IEEE J. Solid State Circuits, 2021

Mobileware: A High-Performance MobileNet Accelerator with Channel Stationary Dataflow.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

SPRITE: Sparsity-Aware Neural Processing Unit with Constant Probability of Index-Matching.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

2020
Algorithm/Hardware Co-Design for In-Memory Neural Network Computing with Minimal Peripheral Circuit Overhead.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

A 44.1TOPS/W Precision-Scalable Accelerator for Quantized Neural Networks in 28nm CMOS.
Proceedings of the 2020 IEEE Custom Integrated Circuits Conference, 2020

2019
Feedforward-Cutset-Free Pipelined Multiply-Accumulate Unit for the Machine Learning Accelerator.
IEEE Trans. Very Large Scale Integr. Syst., 2019

Low-overhead, one-cycle timing-error detection and correction technique for flip-flop based pipelines.
IEICE Electron. Express, 2019

BitSplit-Net: Multi-bit Deep Neural Network with Bitwise Activation Function.
CoRR, 2019

BitBlade: Area and Energy-Efficient Precision-Scalable Neural Network Accelerator with Bitwise Summation.
Proceedings of the 56th Annual Design Automation Conference 2019, 2019

Area-Efficient Transposable 6T SRAM for Fast Online Learning in Neuromorphic Processors.
Proceedings of the IEEE Custom Integrated Circuits Conference, 2019

Configurable BCAM/TCAM Based on 6T SRAM Bit Cell and Enhanced Match Line Clamping.
Proceedings of the IEEE Asian Solid-State Circuits Conference, 2019

2018
Structure of insertion property by powers.
Int. J. Algebra Comput., 2018

2017
Low design overhead timing error correction scheme for elastic clock methodology.
Proceedings of the 2017 IEEE/ACM International Symposium on Low Power Electronics and Design, 2017

2016
Area-efficient one-cycle correction scheme for timing errors in flip-flop based pipelines.
Proceedings of the IEEE Asian Solid-State Circuits Conference, 2016


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