Sungju Ryu

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 19

Top Topics

Error Detection And Correction

Top Venues

IEICE Electron. Express

Publications

Sungju Ryu, Youngtaek Oh, Jae-Joon Kim
Binaryware: A High-Performance Digital Hardware Accelerator for Binary Neural Networks. IEEE Trans. Very Large Scale Integr. Syst. 31 (12) (2023)
Gwanghwi Seo, Sungju Ryu
Area-efficient AdderNet hardware accelerator with merged adder tree structure. IEICE Electron. Express 20 (23) (2023)
Hyunmin Kim, Sungju Ryu
Teleport: A High-Performance ShiftNet Hardware Accelerator with Fused Layer Computation. ISLPED (2023)
Sungju Ryu, Hyungjun Kim, Wooseok Yi, Eunhwan Kim, Yulhwa Kim, Taesu Kim, Jae-Joon Kim
BitBlade: Energy-Efficient Variable Bit-Precision Hardware Accelerator for Quantized Neural Networks. IEEE J. Solid State Circuits 57 (6) (2022)
Sungju Ryu, Youngtaek Oh, Jae-Joon Kim
Mobileware: A High-Performance MobileNet Accelerator with Channel Stationary Dataflow. ICCAD (2021)
Sungju Ryu, Youngtaek Oh, Taesu Kim, Daehyun Ahn, Jae-Joon Kim
SPRITE: Sparsity-Aware Neural Processing Unit with Constant Probability of Index-Matching. DATE (2021)
Sungju Ryu, Jongeun Koo, Wook Kim, Yonghwan Kim, Jae-Joon Kim
Variation-Tolerant Elastic Clock Scheme for Low-Voltage Operations. IEEE J. Solid State Circuits 56 (7) (2021)
Naebeom Park, Sungju Ryu, Jaeha Kung, Jae-Joon Kim
High-throughput Near-Memory Processing on CNNs with 3D HBM-like Memory. ACM Trans. Design Autom. Electr. Syst. 26 (6) (2021)
Sungju Ryu, Hyungjun Kim, Wooseok Yi, Jongeun Koo, Eunhwan Kim, Yulhwa Kim, Taesu Kim, Jae-Joon Kim
A 44.1TOPS/W Precision-Scalable Accelerator for Quantized Neural Networks in 28nm CMOS. CICC (2020)
Hyungjun Kim, Yulhwa Kim, Sungju Ryu, Jae-Joon Kim
Algorithm/Hardware Co-Design for In-Memory Neural Network Computing with Minimal Peripheral Circuit Overhead. DAC (2020)
Sungju Ryu, Naebeom Park, Jae-Joon Kim
Feedforward-Cutset-Free Pipelined Multiply-Accumulate Unit for the Machine Learning Accelerator. IEEE Trans. Very Large Scale Integr. Syst. 27 (1) (2019)
Jongeun Koo, Eunhwan Kim, Seunghyun Yoo, Taesu Kim, Sungju Ryu, Jae-Joon Kim
Configurable BCAM/TCAM Based on 6T SRAM Bit Cell and Enhanced Match Line Clamping. A-SSCC (2019)
Hyungjun Kim, Yulhwa Kim, Sungju Ryu, Jae-Joon Kim
BitSplit-Net: Multi-bit Deep Neural Network with Bitwise Activation Function. CoRR (2019)
Jongeun Koo, Eunhyeok Park, Dongyoung Kim, Junki Park, Sungju Ryu, Sungjoo Yoo, Jae-Joon Kim
Low-overhead, one-cycle timing-error detection and correction technique for flip-flop based pipelines. IEICE Electron. Express 16 (11) (2019)
Jongeun Koo, Jinseok Kim, Sungju Ryu, Chulsoo Kim, Jae-Joon Kim
Area-Efficient Transposable 6T SRAM for Fast Online Learning in Neuromorphic Processors. CICC (2019)
Sungju Ryu, Hyungjun Kim, Wooseok Yi, Jae-Joon Kim
BitBlade: Area and Energy-Efficient Precision-Scalable Neural Network Accelerator with Bitwise Summation. DAC (2019)
Jeoung Soo Cheon, Hai-Lan Jin, Da Woon Jung, Hong Kee Kim, Yang Lee, Sangwon Park, Sungju Ryu, Yeonsook Seo
Structure of insertion property by powers. Int. J. Algebra Comput. 28 (3) (2018)
Sungju Ryu, Jongeun Koo, Jae-Joon Kim
Low design overhead timing error correction scheme for elastic clock methodology. ISLPED (2017)
Jongeun Koo, Eunwoo Song, Eunhyeok Park, Dongyoung Kim, Junki Park, Sungju Ryu, Sungjoo Yoo, Jae-Joon Kim
Area-efficient one-cycle correction scheme for timing errors in flip-flop based pipelines. A-SSCC (2016)