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Sungju Ryu
Sungju Ryu
Assistant Professor, Sogang University
Verified email at sogang.ac.kr - Homepage
Title
Cited by
Cited by
Year
BitBlade: Area and energy-efficient precision-scalable neural network accelerator with bitwise summation
S Ryu, H Kim, W Yi, JJ Kim
Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019
742019
BitBlade: Energy-Efficient Variable Bit-Precision Hardware Accelerator for Quantized Neural Networks
S Ryu, H Kim, W Yi, E Kim, Y Kim, T Kim, JJ Kim
IEEE Journal of Solid-State Circuits 57 (6), 1924-1935, 2022
252022
Feedforward-Cutset-Free Pipelined Multiply–Accumulate Unit for the Machine Learning Accelerator
S Ryu, N Park, JJ Kim
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 27 (1), 138-146, 2018
172018
Algorithm/Hardware Co-Design for In-Memory Neural Network Computing with Minimal Peripheral Circuit Overhead
H Kim, Y Kim, S Ryu, JJ Kim
2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020
122020
A 44.1 TOPS/W Precision-Scalable Accelerator for Quantized Neural Networks in 28nm CMOS
S Ryu, H Kim, W Yi, J Koo, E Kim, Y Kim, T Kim, JJ Kim
2020 IEEE Custom Integrated Circuits Conference (CICC), 1-4, 2020
122020
Mobileware: A High-Performance MobileNet Accelerator with Channel Stationary Dataflow
S Ryu, Y Oh, JJ Kim
2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-9, 2021
92021
High-throughput Near-Memory Processing on CNNs with 3D HBM-like Memory
N Park, S Ryu, J Kung, JJ Kim
ACM Transactions on Design Automation of Electronic Systems (TODAES) 26 (6 …, 2021
92021
Configurable BCAM/TCAM Based on 6T SRAM Bit Cell and Enhanced Match Line Clamping
J Koo, E Kim, S Yoo, T Kim, S Ryu, JJ Kim
2019 IEEE Asian Solid-State Circuits Conference (A-SSCC), 223-226, 2019
82019
Area-Efficient Transposable 6T SRAM for Fast Online Learning in Neuromorphic Processors
J Koo, J Kim, S Ryu, C Kim, JJ Kim
2019 IEEE Custom Integrated Circuits Conference (CICC), 1-4, 2019
72019
Variation-Tolerant Elastic Clock Scheme for Low-Voltage Operations
S Ryu, J Koo, W Kim, Y Kim, JJ Kim
IEEE Journal of Solid-State Circuits 56 (7), 2245-2255, 2021
52021
SPRITE: Sparsity-Aware Neural Processing Unit with Constant Probability of Index-Matching
S Ryu, Y Oh, T Kim, D Ahn, JJ Kim
2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), 663-666, 2021
32021
Area-efficient Transposable Crossbar Synapse Memory Using 6T SRAM Bit Cell for Fast Online Learning of Neuromorphic Processors
J Koo, J Kim, S Ryu, C Kim, JJ Kim
JOURNAL OF SEMICONDUCTOR TECHNOLOGY AND SCIENCE 20 (2), 195-203, 2020
32020
Low design overhead timing error correction scheme for elastic clock methodology
S Ryu, J Koo, JJ Kim
2017 IEEE/ACM International Symposium on Low Power Electronics and Design …, 2017
32017
Area-efficient one-cycle correction scheme for timing errors in flip-flop based pipelines
J Koo, E Song, E Park, D Kim, J Park, S Ryu, S Yoo, JJ Kim
2016 IEEE Asian Solid-State Circuits Conference (A-SSCC), 137-140, 2016
32016
Binaryware: A High-Performance Digital Hardware Accelerator for Binary Neural Networks
S Ryu, Y Oh, JJ Kim
IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2023
12023
Review and Analysis of Variable Bit-precision MAC Microarchitectures for Energy-efficient AI Computation
S Ryu
JOURNAL OF SEMICONDUCTOR TECHNOLOGY AND SCIENCE 22 (5), 353-360, 2022
12022
BitSplit-Net: Multi-bit Deep Neural Network with Bitwise Activation Function
H Kim, Y Kim, S Ryu, JJ Kim
arXiv preprint arXiv:1903.09807, 2019
12019
Low-overhead, one-cycle timing-error detection and correction technique for flip-flop based pipelines
J Koo, E Park, D Kim, J Park, S Ryu, S Yoo, JJ Kim
IEICE Electronics Express 16 (11), 20190180-20190180, 2019
12019
Mobileware: Distributed Architecture With Channel Stationary Dataflow for MobileNet Acceleration
S Ryu, J Jang, Y Oh, JJ Kim
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2024
2024
Area-efficient AdderNet hardware accelerator with merged adder tree structure
G Seo, S Ryu
IEICE Electronics Express 20 (23), 20230427-20230427, 2023
2023
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