Jaehyeong Sim

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 19

Top Topics

Convolutional Neural Network

Gaussian Filter

Top Venues

IEEE Trans. Very Large Scale Integr. Syst.

Publications

Jieui Kang, Jihye Park, Soeun Choi, Jaehyeong Sim
Q-LAtte: An Efficient and Versatile LSTM Model for Quantized Attention-Based Time Series Forecasting in Building Energy Applications. IEEE Access 12 (2024)
HaYoung Lim, Yeseo Jang, Juyeon Kim, Jaehyeong Sim
TD-NAAS: Template-Based Differentiable Neural Architecture Accelerator Search. ISOCC (2023)
Jieui Kang, Jaehyeong Sim, Hyokyung Bahn
Optimization of the Modified Gaussian Filter for Mobile GPU Usage in Game Workloads. CCCI (2023)
Myeonggu Kang, Hyeonuk Kim, Hyein Shin, Jaehyeong Sim, Kyeonghan Kim, Lee-Sup Kim
S-FLASH: A NAND Flash-Based Deep Neural Network Accelerator Exploiting Bit-Level Sparsity. IEEE Trans. Computers 71 (6) (2022)
Seungkyu Choi, Jaehyeong Sim, Myeonggu Kang, Yeongjae Choi, Hyeonuk Kim, Lee-Sup Kim
An Energy-Efficient Deep Convolutional Neural Network Training Accelerator for In Situ Personalization on Smart Devices. IEEE J. Solid State Circuits 55 (10) (2020)
Yeongjae Choi, Jaehyeong Sim, Lee-Sup Kim
CREMON: Cryptography Embedded on the Convolutional Neural Network Accelerator. IEEE Trans. Circuits Syst. (12) (2020)
Jaehyeong Sim, Somin Lee, Lee-Sup Kim
An Energy-Efficient Deep Convolutional Neural Network Inference Processor With Enhanced Output Stationary Dataflow in 65-nm CMOS. IEEE Trans. Very Large Scale Integr. Syst. 28 (1) (2020)
Youngbeom Jung, Yeongjae Choi, Jaehyeong Sim, Lee-Sup Kim
eSRCNN: A Framework for Optimizing Super-Resolution Tasks on Diverse Embedded CNN Accelerators. ICCAD (2019)
Hyein Shin, Jaehyeong Sim, Daewoong Lee, Lee-Sup Kim
A PVT-robust Customized 4T Embedded DRAM Cell Array for Accelerating Binary Neural Networks. ICCAD (2019)
Seungkyu Choi, Jaehyeong Sim, Myeonggu Kang, Yeongjae Choi, Hyeonuk Kim, Lee-Sup Kim
A 47.4µJ/epoch Trainable Deep Convolutional Neural Network Accelerator for In-Situ Personalization on Smart Devices. A-SSCC (2019)
Hyeonuk Kim, Jaehyeong Sim, Yeongjae Choi, Lee-Sup Kim
NAND-Net: Minimizing Computational Complexity of In-Memory Processing for Binary Neural Networks. HPCA (2019)
Kyeonghan Kim, Hyein Shin, Jaehyeong Sim, Myeonggu Kang, Lee-Sup Kim
An Energy-efficient Processing-in-memory Architecture for Long Short Term Memory in Spin Orbit Torque MRAM. ICCAD (2019)
Jaehyeong Sim, Hoseok Seol, Lee-Sup Kim
NID: processing binary convolutional neural network in commodity DRAM. ICCAD (2018)
Seungkyu Choi, Jaehyeong Sim, Myeonggu Kang, Lee-Sup Kim
TrainWare: A Memory Optimized Weight Update Architecture for On-Device Convolutional Neural Network Training. ISLPED (2018)
Yeongjae Choi, Dongmyung Bae, Jaehyeong Sim, Seungkyu Choi, Minhye Kim, Lee-Sup Kim
Energy-Efficient Design of Processing Element for Convolutional Neural Network. IEEE Trans. Circuits Syst. II Express Briefs (11) (2017)
Myung-Hoon Choi, Seungkyu Choi, Jaehyeong Sim, Lee-Sup Kim
SENIN: An energy-efficient sparse neuromorphic system with on-chip learning. ISLPED (2017)
Hyeonuk Kim, Jaehyeong Sim, Yeongjae Choi, Lee-Sup Kim
A Kernel Decomposition Architecture for Binary-weight Convolutional Neural Networks. DAC (2017)
Taeho Lee, Yong-Hun Kim, Jaehyeong Sim, Jun-Seok Park, Lee-Sup Kim
A 5-Gb/s 2.67-mW/Gb/s Digital Clock and Data Recovery With Hybrid Dithering Using a Time-Dithered Delta-Sigma Modulator. IEEE Trans. Very Large Scale Integr. Syst. 24 (4) (2016)
Jaehyeong Sim, Jun-Seok Park, Minhye Kim, Dongmyung Bae, Yeongjae Choi, Lee-Sup Kim
14.6 A 1.42TOPS/W deep convolutional neural network recognition processor for intelligent IoE systems. ISSCC (2016)
Jaehyeong Sim, Jun-Seok Park, Seungwook Paek, Lee-Sup Kim
Timing error masking by exploiting operand value locality in SIMD architecture. ICCD (2014)
Seungwook Paek, Wongyu Shin, Jaehyeong Sim, Lee-Sup Kim
PowerField: A Probabilistic Approach for Temperature-to-Power Conversion Based on Markov Random Field Theory. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 32 (10) (2013)
Seungwook Paek, Seok-Hwan Moon, Wongyu Shin, Jaehyeong Sim, Lee-Sup Kim
PowerField: a transient temperature-to-power technique based on Markov random field theory. DAC (2012)