2024
| 33 |
TETC
SCI Q1
|
Darwin: A DRAM-based Multi-level Processing-in-Memory Architecture for Column-Oriented Database | Architecture SKHynix |
| IEEE Transactions on Emerging Topics in Computing (TETC), 2024 | ||
| Donghyuk Kim, Jae-Young Kim, Wontak Han, Jongsoon Won, Haerang Choi, Yongkee Kwon, Joo-Young Kim |
| 32 |
IEEE Micro
SCI Q2
|
LPU: A Latency-Optimized Highly Scalable Processor for Large Language Model Inference | Architecture HyperAccel |
| IEEE Micro, 2024 | ||
| Seungjae Moon, Jung-Hoon Kim, Junsoo Kim, Seongmin Hong, Junseo Cha, Minsu Kim, Sukbin Lim, Gyubin Choi, Dongjin Seo, Jongho Kim, Hunjong Lee, Hyunjun Park, Ryeowook Ko, Soongyu Choi, Jongse Park, Jinwon Lee, Joo-Young Kim |
| 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, Joo-Young Kim (*equal contribution) |
| 30 |
JSSC
SCI Q1
|
EPU: An Energy-Efficient Explainable AI Accelerator with Sparsity-free Computation 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, 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, 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 Systems I (TCAS-I), 2023 | ||
| Donghyuk Kim, Sanghyun Jeong, 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, Joo-Young Kim |
| 25 |
TCAS-I
SCI Q2
|
Accelerating Deep Convolutional Neural Networks Using Number Theoretic Transform | FPGA |
| IEEE Transactions on Circuits Systems I (TCAS-I), 2022 | ||
| Prasetiyo, Seongmin Hong, Yashael Faith Arthanto, 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, Joo-Young Kim |
| 23 |
JETCAS
SCI Q1
|
Design of Processing-in-Memory with Triple Computational Path Sparsity Handling for Energy-Efficient DNN Training | Circuit |
| IEEE Journal on Emerging Selected Topics in Circuits Systems (JETCAS), 2022 | ||
| Wontak Han, Jaehoon Heo, Junsoo Kim, Sukbin Lim, Joo-Young Kim |
| 22 |
JETCAS
SCI Q1
|
An Overview of Processing-in-Memory Circuits for Artificial Intelligence Machine Learning | Circuit |
| IEEE Journal on Emerging Selected Topics in Circuits Systems (JETCAS), 2022 | ||
| Donghyuk Kim, Chengshuo Yu, Shanshan Xie, Yuzong Chen, Joo-Young Kim, Bongjin Kim, Jaydeep Kulkarni, 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, 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, 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 Science (JSTS), Vol. 20, No. 6, Dec. 2020 | ||
| Ji-Hoon Kim, Changhyeon Kim, Kwantae Kim, Juhyung Lee, Hoi-Jun Yoo, 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, 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, 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, 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, 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, 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, Hoi-Jun Yoo |
| 12 |
JSSC
SCI Q1
|
A 92mW Real-Time Traffic Sign Recognition System with Robust Illumination Adaptation 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, 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, 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, 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, Hoi-Jun Yoo |
| 8 |
TCSVT
SCI Q1
|
Visual Image Processing RAM: Memory Architecture with 2-D Data Location Search Data Consistency Management for a Multi-Core Object Recognition Processor | Circuit |
| IEEE Transactions on Circuits Systems for Video Technology (TCSVT), Vol. 20, No. 4, 2010 | ||
| Joo-Young Kim, Donghyun Kim, Kwanho Kim, Seungjin Lee, Hoi-Jun Yoo |
| 7 |
Elsevier Pattern
Recognition |
Familiarity Based Unified Visual Attention Model for Fast Robust Object Recognition | Architecture |
| Elsevier Pattern Recognition, Vol. 43, No. 3, 2010 | ||
| Seungjin Lee, Kwanho Kim, Joo-Young Kim, Minsu Kim, 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, 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, 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 Systems for Video Technology (TCSVT), Vol. 19, No. 11, 2009 | ||
| Kwanho Kim, Seungjin Lee, Joo-Young Kim, Minsu Kim, 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, 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, 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, Hoi-Jun Yoo |