Personal Information
Jaehyeong Sim
research interests- Energy-Efficient CNN Processor
- Energy-Efficient SIMD Architecture
- Please visit https://sites.google.com/site/kaistjhsim/ for more information about me.
International Journal Papers
Jaehyeong Sim, Somin Lee, Lee-Sup Kim
An Energy Efficient Deep Convolutional Neural Network Inference Processor with Enhanced Output Stationary Dataflow in 65nm CMOS
IEEE Transactions on Very Large Scale Integration Systems, 2019
 
Yeongjae Choi, Dongmyung Bae, Jaehyeong Sim, Seungkyu Choi, Minhye Kim, Lee-Sup Kim
Energy-efficient design of processing element for convolutional neural network
IEEE Transactions on Circuits and Systems II, 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 Transactions on Very Large Scale Integration Systems, 2016
 
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 Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2013
 
International Conference Papers
Seungkyu Choi, Jaehyeong Sim, Myeonggu Kang, Yeongjae Choi, Hyeonuk Kim, Lee-Sup Kim
A 47.4uJ/epoch Trainable Deep Convolutional Neural Network Accelerator for In-Situ Personalization on Smart Devices
IEEE Asian Solid-State Circuits Conference, 2019
 
Hyein Shin, Jaehyeong Sim, Daewoong Lee, Lee-Sup Kim
A PVT-robust Customized 4T Embedded DRAM Cell Array for Accelerating Binary Neural Networks
IEEE/ACM International Conference On Computer Aided Design, 2019
 
Youngbeom Jung, Yeongjae Choi, Jaehyeong Sim, Lee-Sup Kim
eSRCNN: A Framework for Optimizing Super-Resolution Tasks on Diverse Embedded CNN Accelerators
IEEE/ACM International Conference On Computer Aided Design, 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
IEEE/ACM International Conference On Computer Aided Design, 2019
 
Hyeonuk Kim, Jaehyeong Sim, Yeongjae Choi, Lee-Sup Kim
NAND-Net: Minimizing Computational Complexity of In-Memory Processing for Binary Neural Networks
IEEE International Symposium on High-Performance Computer Architecture, 2019
 
Jaehyeong Sim, Hoseok Seol, Lee-Sup Kim
NID: Processing Binary Convolutional Neural Network in Commodity DRAM
ACM/IEEE International Conference On Computer Aided Design, 2018
 
Seungkyu Choi, Jaehyeong Sim, Myeonggu Kang, Lee-Sup Kim
TrainWare: A Memory Optimized Weight Update Architecture for On-Device Convolutional Neural Network Training
ACM/IEEE International Symposium on Low Power Electronics and Design, 2018
 
Hyeonuk Kim, Jaehyeong Sim, Yeongjae Choi, Lee-Sup Kim
A Kernel Decomposition Architecture for Binary-weight Convolutional Neural Networks
ACM/IEEE Design Automation Conference, 2017
 
Myunghoon Choi, Seungkyu Choi, Jaehyeong Sim, Lee-Sup Kim
SENIN: An Energy-Efficient Sparse Neuromorphic System
The International Symposium on Low Power Electronics and Design , 2017
 
Jaehyeong Sim, Jun-Seok Park, Minhye Kim, Dongmyung Bae, Yeongjae Choi, Lee-Sup Kim
A 1.42TOPS/W Deep Convolutional Neural Network Recognition Processor for Intelligent IoE Systems
IEEE International Solid-State Circuit Conference, 2016
 
Jaehyeong Sim, Jun-Seok Park, Seungwook Paek, Lee-Sup Kim
Timing Error Masking by Exploiting Operand Value Locality in SIMD Architecture (Best Paper Award)
IEEE International Conference on Computer Design, 2014
 
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
ACM/IEEE Design Automation Conference, 2012