2024
| 31 |
JSSC
SCI Q1
|
SP-PIM: A Super-Pipelined Processing-In-Memory Accelerator with Local Error Prediction for Area/Energy-Efficient On-Device Learning | Circuit |
| IEEE Journal of Solid-State Circuits (JSSC), 2024 | ||
| *Jaehoon Heo, *Jung-Hoon Kim, Wontak Han, Jaeuk Kim and Joo-Young Kim (*equal contribution) |
| 30 |
JSSC
SCI Q1
|
EPU: An Energy-Efficient Explainable AI Accelerator with Sparsity-free Computation and Heat Map Compression/Pruning | Circuit |
| IEEE Journal of Solid-State Circuits (JSSC), 2024 | ||
| Junsoo Kim, Seunghee Han, Geonwoo Ko, Ji-Hoon Kim, Changha Lee, Taewoo Kim, Chan-Hyun Youn, and Joo-Young Kim |
| 29 |
IEEE Access
|
Trinity: In-Database Near-Data Machine Learning Acceleration Platform for Advanced Data Analytics | FPGA |
| IEEE Access, 2024 | ||
| Ji-Hoon Kim, Seunghee Han, Kwanghyun Park, Soo-Young Ji, Joo-Young Kim |
2023
| 28 |
Communications
SCI Q1
of the ACM |
South Korea's Nationwide Effort for AI Semiconductor Industry | Circuit |
| Communications of the ACM, Vol. 66, No. 7, 2023 | ||
| Ji-Hoon Kim, Sungyeob Yoo , and Joo-Young Kim |
| 27 |
TCAS-I
SCI Q2
|
Agamotto: A Performance Optimization Framework for CNN Accelerator with Row Stationary Dataflow | FPGA |
| IEEE Transactions on Circuits and Systems I (TCAS-I), 2023 | ||
| Donghyuk Kim, Sanghyun Jeong, and Joo-Young Kim |
2022
| 26 |
JSSC
SCI Q1
|
T-PIM: An Energy-Efficient Processing-In-Memory Accelerator for End-to-End On-Device Training | Circuit |
| IEEE Journal of Solid-State Circuits (JSSC), 2022 | ||
| Jaehoon Heo, Junsoo Kim, Sukbin Lim, Wontak Han, and Joo-Young Kim |
| 25 |
TCAS-I
SCI Q2
|
Accelerating Deep Convolutional Neural Networks Using Number Theoretic Transform | FPGA |
| IEEE Transactions on Circuits and Systems I (TCAS-I), 2022 | ||
| Prasetiyo, Seongmin Hong, Yashael Faith Arthanto, and Joo-Yong Kim |
| 24 |
CAL
SCIE
|
OpenMDS: An Open-Source Shell Generation Framework for High-Performance Design on Xilinx Multi-Die FPGAs | Architecture Automation Github |
| IEEE Computer Architecture Letters (CAL), 2022 | ||
| Gyeongcheol Shin, Junsoo Kim, and Joo-Young Kim |
| 23 |
JETCAS
SCI Q1
|
Design of Processing-in-Memory with Triple Computational Path and Sparsity Handling for Energy-Efficient DNN Training | Circuit |
| IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), 2022 | ||
| Wontak Han, Jaehoon Heo, Junsoo Kim, Sukbin Lim, and Joo-Young Kim |
| 22 |
JETCAS
SCI Q1
|
An Overview of Processing-in-Memory Circuits for Artificial Intelligence and Machine Learning | Circuit |
| IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), 2022 | ||
| Donghyuk Kim, Chengshuo Yu, Shanshan Xie, Yuzong Chen, Joo-Young Kim, Bongjin Kim, Jaydeep Kulkarni, and Tony Tae-Hyoung Kim |
| 21 |
TC
SCI Q2
|
Accelerating Large-Scale Graph-based Nearest Neighbor Search on a Computational Storage Platform | Architecture Amazon Samsung |
| IEEE Transactions on Computers (TC), 2022 | ||
| Ji-Hoon Kim, Yeo-Reum Park, Jaeyoung Do, Soo-Young Ji, and Joo-Young Kim |
2021
| 20 |
JSSC
SCI Q1
|
Z-PIM: A Sparsity-Aware Processing-In-Memory Architecture with Fully-Variable Weight Bit-Precision for Energy-Efficient Deep Neural Networks | Circuit |
| IEEE Journal of Solid-State Circuits (JSSC), Vol. 56, No. 4, Apr. 2021 | ||
| Ji-Hoon Kim, Juhyoung Lee, Jinsu Lee, Jaehoon Heo, and Joo-Young Kim |
2020
| 19 |
JSTS
SCIE
|
An Ultra-low-power Mixed-mode Face Recognition Processor for Always-on User Authentication in Mobile Device | Circuit |
| Journal of Semiconductor Technology and Science (JSTS), Vol. 20, No. 6, Dec. 2020 | ||
| Ji-Hoon Kim, Changhyeon Kim, Kwantae Kim, Juhyung Lee, Hoi-Jun Yoo, and Joo-Young Kim |
Before 2020
| 18 |
IEEE Micro
SCI Q2
|
Configurable Clouds | Architecture |
| IEEE Micro, Vol. 37, No. 3, 2017 | ||
| Adrian Caulfield, Eric Chung, Andrew Putnam, Hari Angepat, Daniel Firestone, Jeremy Fowers, Michael Haselman, Stephen Heil, Matt Humphrey, Puneet Kaur, Joo-Young Kim, Daniel Lo, Todd Massengill, Kalin Ovtcharov, Michael Papamichael, Lisa Woods, Sitaram Lanka, Derek Chiou, and Doug Burger |
| 17 |
Communications
SCI Q1
of the ACM |
A Reconfigurable Fabric For Accelerating Large-Scale Datacenter Services | Architecture |
| Communications of the ACM, Vol. 59, No. 11, 2016 | ||
| Andrew Putnam, Adrian Caulfield, Eric Chung, Derek Chiou, Kypros Constantinides, John Demme, Hadi Esmaeilzadeh, Jeremy Fowers, Gopi Prashanth Gopal, Jan Gray, Michael Haselman, Scott Hauck, Stephen Heil, Amir Hormati, Joo-Young Kim, Sitaram Lanka, James Larus, Eric Peterson, Simon Pope, Aaron Smith, Jason Thong, Phillip Yi Xiao, and Doug Burger |
| 16 |
IEEE Micro
SCI Q2
|
A Reconfigurable Fabric for Accelerating Large-Scale Datacenter Services | Architecture |
| IEEE Micro, Vol.35, No. 3, 2015 | ||
| Andrew Putnam, Adrian M. Caulfield, Eric S. Chung, Derek Chiou, Kypros Constantinides, John Demme, Hadi Esmaeilzadeh, Jeremy Fowers, Jan Gray, Michael Haselman, Scott Hauck, Stephen Heil, Amir Hormati, Joo-Young Kim, Sitaram Lanka, James R. Larus, Eric Peterson, Gopi Prashanth, Aaron Smith, Jason Thong, Phillip Yi Xiao, and Doug Burger |
| 15 |
Microsoft
White paper |
Accelerating Deep Convolutional Neural Networks Using Specialized Hardware | Architecture |
| Microsoft White paper, 2015 | ||
| Kalin Ovtcharov, Olatunji Ruwase, Joo-Young Kim, Jeremy Fowers, Karin Strauss, and Eric S. Chung |
| 14 |
JSSC
SCI Q1
|
A 320mW 342GOPS Real-Time Dynamic Object Recognition Processor for HD 720p Video Streams | Circuit |
| IEEE Journal of Solid-State Circuits (JSSC), Vol. 48, No. 1, 2013 | ||
| Jinwook Oh, Gyeonghoon Kim, Junyoung Park, Injoon Hong, Seungjin Lee, Joo-Young Kim, Jeong-Ho Woo, and Hoi-Jun Yoo |
| 13 |
IEEE Micro
SCI Q2
|
Low-Power, Real-Time Object Recognition Processor for Mobile Vision Systems | Architecture |
| IEEE Micro, Vol. 32, No. 6, 2012 | ||
| Jinwook Oh, Gyeonghoon Kim, Junyoung Park, Injoon Hong, Seungjin Lee, Joo-Young Kim, Jeong-Ho Woo, and Hoi-Jun Yoo |
| 12 |
JSSC
SCI Q1
|
A 92mW Real-Time Traffic Sign Recognition System with Robust Illumination Adaptation and Support Vector Machine | Circuit |
| IEEE Journal of Solid-State Circuits (JSSC), Vol. 47, No. 11, 2012 | ||
| Junyoung Park, Joonsoo Kwon, Jinwook Oh, Seungjin Lee, Joo-Young Kim, and Hoi-Jun Yoo |
| 11 |
IEEE Transactions
SCI Q1
on Neural Networks |
24-GOPS 4.5-mm2 Digital Cellular Neural Network for Rapid Visual Attention in an Object-Recognition SoC | Architecture |
| IEEE Transactions on Neural Networks, Vol. 22, No. 1, 2011 | ||
| Seungjin Lee, Minsu Kim, Kwanho Kim, Joo-Young Kim, and Hoi-Jun Yoo |
| 10 |
JSSC
SCI Q1
|
A 118.4GB/s Multi-Casting Network-on-Chip with Hierarchical Star-Ring Combined Topology for Real-Time Object Recognition | Circuit |
| IEEE Journal of Solid-State Circuits (JSSC), Vol. 45, No. 7, 2010 | ||
| Joo-Young Kim, Junyoung Park, Seungjin Lee, Minsu Kim, Jinwook Oh, and Hoi-Jun Yoo |
| 9 |
Elsevier Signal
Processing:Image Communication |
An Attention Controlled Multi-Core Architecture for Energy Efficient Object Recognition | Architecture |
| Elsevier Signal Processing: Image Communication, Vol. 25, No. 5, 2010 | ||
| Joo-Young Kim, Sejong Oh, Seungjin Lee, Minsu Kim, Jinwook Oh, and Hoi-Jun Yoo |
| 8 |
TCSVT
SCI Q1
|
Visual Image Processing RAM: Memory Architecture with 2-D Data Location Search and Data Consistency Management for a Multi-Core Object Recognition Processor | Circuit |
| IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol. 20, No. 4, 2010 | ||
| Joo-Young Kim, Donghyun Kim, Kwanho Kim, Seungjin Lee, and Hoi-Jun Yoo |
| 7 |
Elsevier Pattern
Recognition |
Familiarity Based Unified Visual Attention Model for Fast and Robust Object Recognition | Architecture |
| Elsevier Pattern Recognition, Vol. 43, No. 3, 2010 | ||
| Seungjin Lee, Kwanho Kim, Joo-Young Kim, Minsu Kim, and Hoi-Jun Yoo |
| 6 |
JSSC
SCI Q1
|
A 201.4GOPS 496mW Real-Time Multi-Object Recognition Processor with Bio-Inspired Neural Perception Engine | Circuit |
| IEEE Journal of Solid-State Circuits (JSSC), Vol. 45, No. 1, 2010 | ||
| Joo-Young Kim, Minsu Kim, Seungjin Lee, Jinwook Oh, Kwanho Kim, and Hoi-Jun Yoo |
Before 2010
| 5 |
IEEE Micro
SCI Q2
|
Real-Time Object Recognition with Neuro-Fuzzy Controlled Workload-aware Task Pipelining | Architecture |
| IEEE Micro, Vol. 29, No. 6, 2009 | ||
| Joo-Young Kim, Minsu Kim, Seungjin Lee, Jinwook Oh, Sejong Oh, and Hoi-Jun Yoo |
| 4 |
TCSVT
SCI Q1
|
A Configurable Heterogeneous Multicore Architecture with Cellular Neural Network for Real-Time Object Recognition | Circuit |
| IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol. 19, No. 11, 2009 | ||
| Kwanho Kim, Seungjin Lee, Joo-Young Kim, Minsu Kim, and Hoi-Jun Yoo |
| 3 |
IET Computers &
SCIE
Digital Techniques |
Memory-Centric Network-on-Chip for Power Efficient Execution of Task-Level Pipeline on a Multi-Core Processor | Circuit |
| IET Computers & Digital Techniques, Vol. 3, No. 5, 2009 | ||
| Donghyun Kim, Kwanho Kim, Seungjin Lee, Joo-Young Kim, Minsu Kim, and Hoi-Jun Yoo |
| 2 |
TVLSI
SCIE
|
81.6 GOPS Object Recognition Processor Based on a Memory-Centric NoC | Circuit |
| IEEE Transactions on Very Large Scale Integration (TVLSI), Vol. 17, No. 3, 2009 | ||
| Donghyun Kim, Kwanho Kim, Joo-Young Kim, Seungjin Lee, Se-Joong Lee, and Hoi-Jun Yoo |
| 1 |
JSSC
SCI Q1
|
A 125 GOPS 583 mW Network-on-Chip Based Parallel Processor with Bio-Inspired Visual Attention Engine | Circuit |
| IEEE Journal of Solid-State Circuits (JSSC), Vol. 44, No. 1, 2009 | ||
| Kwanho Kim, Seungjin Lee, Joo-Young Kim, Minsu Kim, and Hoi-Jun Yoo |