Joo-Young Kim

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 44

Top Topics

Machine Learning

Top Venues

IEEE J. Solid State Circuits

Publications

Wontak Han, Hyunjun Cho, Donghyuk Kim, Joo-Young Kim
SAL-PIM: A Subarray-level Processing-in-Memory Architecture with LUT-based Linear Interpolation for Transformer-based Text Generation. CoRR (2024)
Jaehoon Heo, Jung-Hoon Kim, Wontak Han, Jaeuk Kim, Joo-Young Kim
SP-PIM: A Super-Pipelined Processing-In-Memory Accelerator With Local Error Prediction for Area/Energy-Efficient On-Device Learning. IEEE J. Solid State Circuits 59 (8) (2024)
Jinho Yang, Sungwoong Yune, Sukbin Lim, Donghyuk Kim, Joo-Young Kim
ACane: An Efficient FPGA-based Embedded Vision Platform with Accumulation-as-Convolution Packing for Autonomous Mobile Robots. ASPDAC (2024)
Prasetiyo, Adiwena Putra, Joo-Young Kim
Morphling: A Throughput-Maximized TFHE-based Accelerator using Transform-domain Reuse. HPCA (2024)
Seunghee Han, Seungjae Moon, Teokkyu Suh, Jaehoon Heo, Joo-Young Kim
BLESS: Bandwidth and Locality Enhanced SMEM Seeding Acceleration for DNA Sequencing. ISCA (2024)
Junsoo Kim, Seunghee Han, Geonwoo Ko, Ji-Hoon Kim, Changha Lee, Taewoo Kim, Chan-Hyun Youn, Joo-Young Kim
EPU: An Energy-Efficient Explainable AI Accelerator With Sparsity-Free Computation and Heat Map Compression/Pruning. IEEE J. Solid State Circuits 59 (3) (2024)
Ji-Hoon Kim, Seunghee Han, Kwanghyun Park, Soo-Young Ji, Joo-Young Kim
Trinity: In-Database Near-Data Machine Learning Acceleration Platform for Advanced Data Analytics. IEEE Access 12 (2024)
Sukbin Lim, Jaehoon Heo, Jinho Yang, Joo-Young Kim
A 38.5TOPS/W Point Cloud Neural Network Processor with Virtual Pillar and Quadtree-based Workload Management for Real-Time Outdoor BEV Detection. CICC (2024)
Jaehoon Heo, Junsoo Kim, Sukbin Lim, Wontak Han, Joo-Young Kim
T-PIM: An Energy-Efficient Processing-in-Memory Accelerator for End-to-End On-Device Training. IEEE J. Solid State Circuits 58 (3) (2023)
Ji-Hoon Kim, Yeo-Reum Park, Jaeyoung Do, Soo-Young Ji, Joo-Young Kim
Accelerating Large-Scale Graph-Based Nearest Neighbor Search on a Computational Storage Platform. IEEE Trans. Computers 72 (1) (2023)
Prasetiyo, Seongmin Hong, Yashael Faith Arthanto, Joo-Young Kim
Accelerating Deep Convolutional Neural Networks Using Number Theoretic Transform. IEEE Trans. Circuits Syst. I Regul. Pap. 70 (1) (2023)
Junsoo Kim, Geonwoo Ko, Ji-Hoon Kim, Changha Lee, Taewoo Kim, Chan-Hyun Youn, Joo-Young Kim
A 26.55TOPS/W Explainable AI Processor with Dynamic Workload Allocation and Heat Map Compression/Pruning. CICC (2023)
SeongHwan Cho, Joo-Young Kim, Minoru Fujishima, Jun Zhou
Introduction to the Special Section on the 2022 Asian Solid-State Circuits Conference (A-SSCC). IEEE J. Solid State Circuits 58 (10) (2023)
Je Yang, Sukbin Lim, Sukjin Lee, Jae-Young Kim, Joo-Young Kim
JNPU: A 1.04TFLOPS Joint-DNN Training Processor with Speculative Cyclic Quantization and Triple Heterogeneity on Microarchitecture / Precision / Dataflow. ESSCIRC (2023)
Donghyuk Kim, Sanghyun Jeong, Joo-Young Kim
Agamotto: A Performance Optimization Framework for CNN Accelerator With Row Stationary Dataflow. IEEE Trans. Circuits Syst. I Regul. Pap. 70 (6) (2023)
Donghyuk Kim, Jae-Young Kim, Wontak Han, Jongsoon Won, Haerang Choi, Yongkee Kwon, Joo-Young Kim
Darwin: A DRAM-based Multi-level Processing-in-Memory Architecture for Data Analytics. CoRR (2023)
Adiwena Putra, Prasetiyo, Yi Chen, John Kim, Joo-Young Kim
Strix: An End-to-End Streaming Architecture with Two-Level Ciphertext Batching for Fully Homomorphic Encryption with Programmable Bootstrapping. MICRO (2023)
Ji-Hoon Kim, Sungyeob Yoo, Joo-Young Kim
South Korea's Nationwide Effort for AI Semiconductor Industry. Commun. ACM 66 (7) (2023)
Sungyeob Yoo, Hyunsung Kim, Jinseok Kim, Sunghyun Park, Joo-Young Kim, Jinwook Oh
LightTrader: A Standalone High-Frequency Trading System with Deep Learning Inference Accelerators and Proactive Scheduler. HPCA (2023)
Jung-Hoon Kim, Jaehoon Heo, Wontak Han, Jaeuk Kim, Joo-Young Kim
SP-PIM: A 22.41TFLOPS/W, 8.81Epochs/Sec Super-Pipelined Processing-In-Memory Accelerator with Local Error Prediction for On-Device Learning. VLSI Technology and Circuits (2023)
Adiwena Putra, Prasetiyo, Yi Chen, John Kim, Joo-Young Kim
Strix: An End-to-End Streaming Architecture with Two-Level Ciphertext Batching for Fully Homomorphic Encryption with Programmable Bootstrapping. CoRR (2023)
Ji-Hoon Kim, Yeo-Reum Park, Jaeyoung Do, Soo Young Ji, Joo-Young Kim
Accelerating Large-Scale Graph-based Nearest Neighbor Search on a Computational Storage Platform. CoRR (2022)
Hyunsung Kim, Sungyeob Yoo, Jaewan Bae, Kyeongryeol Bong, Yoonho Boo, Karim Charfi, Hyo-Eun Kim, Hyun Suk Kim, Jinseok Kim, Byungjae Lee, Jaehwan Lee, Myeongbo Shim, Sungho Shin, Jeong Seok Woo, Joo-Young Kim, Sunghyun Park, Jinwook Oh
LightTrader : World's first AI-enabled High-Frequency Trading Solution with 16 TFLOPS / 64 TOPS Deep Learning Inference Accelerators. HCS (2022)
Je Yang, Jaeuk Kim, Joo-Young Kim
LearningGroup: A Real-Time Sparse Training on FPGA via Learnable Weight Grouping for Multi-Agent Reinforcement Learning. FPT (2022)
Seongmin Hong, Seungjae Moon, Junsoo Kim, Sungjae Lee, Minsub Kim, Dongsoo Lee, Joo-Young Kim
DFX: A Low-latency Multi-FPGA Appliance for Accelerating Transformer-based Text Generation. HCS (2022)
Donghyuk Kim, Chengshuo Yu, Shanshan Xie, Yuzong Chen, Joo-Young Kim, Bongjin Kim, Jaydeep P. Kulkarni, Tony Tae-Hyoung Kim
An Overview of Processing-in-Memory Circuits for Artificial Intelligence and Machine Learning. IEEE J. Emerg. Sel. Topics Circuits Syst. 12 (2) (2022)
Tony Tae-Hyoung Kim, Bongjin Kim, Joo-Young Kim, Jaydeep P. Kulkarni
Guest Editorial Revolution of AI and Machine Learning With Processing-in-Memory (PIM): From Systems, Architectures, to Circuits. IEEE J. Emerg. Sel. Topics Circuits Syst. 12 (2) (2022)
Yashael Faith Arthanto, David Ojika, Joo-Young Kim
FSHMEM: Supporting Partitioned Global Address Space on FPGAs for Large-Scale Hardware Acceleration Infrastructure. CoRR (2022)
Jaehoon Heo, Junsoo Kim, Wontak Han, Sukbin Lim, Joo-Young Kim
T-PIM: A 2.21-to-161.08TOPS/W Processing-In-Memory Accelerator for End-to-End On-Device Training. CICC (2022)
Gyeongcheol Shin, Junsoo Kim, Joo-Young Kim
OpenMDS: An Open-Source Shell Generation Framework for High-Performance Design on Multi-Die FPGAs. FCCM (2022)
Gyeongcheol Shin, Junsoo Kim, Joo-Young Kim
OpenMDS: An Open-Source Shell Generation Framework for High-Performance Design on Xilinx Multi-Die FPGAs. IEEE Comput. Archit. Lett. 21 (2) (2022)
Wontak Han, Jaehoon Heo, Junsoo Kim, Sukbin Lim, Joo-Young Kim
Design of Processing-in-Memory With Triple Computational Path and Sparsity Handling for Energy-Efficient DNN Training. IEEE J. Emerg. Sel. Topics Circuits Syst. 12 (2) (2022)
Ji-Hoon Kim, Seunghee Han, Kwanghyun Park, Soo-Young Ji, Joo-Young Kim
Trinity: End-to-End In-Database Near-Data Machine Learning Acceleration Platform for Advanced Data Analytics. HCS (2022)
Yashael Faith Arthanto, David Ojika, Joo-Young Kim
FSHMEM: Supporting Partitioned Global Address Space on FPGAs for Large-Scale Hardware Acceleration Infrastructure. FPL (2022)
Seongmin Hong, Seungjae Moon, Junsoo Kim, Sungjae Lee, Minsub Kim, Dongsoo Lee, Joo-Young Kim
DFX: A Low-latency Multi-FPGA Appliance for Accelerating Transformer-based Text Generation. CoRR (2022)
Jung-Hoon Kim, Sungyeob Yoo, Seungjae Moon, Joo-Young Kim
Exploration of Systolic-Vector Architecture with Resource Scheduling for Dynamic ML Workloads. CoRR (2022)
Seongmin Hong, Seungjae Moon, Junsoo Kim, Sungjae Lee, Minsub Kim, Dongsoo Lee, Joo-Young Kim
DFX: A Low-latency Multi-FPGA Appliance for Accelerating Transformer-based Text Generation. MICRO (2022)
Yeo-Reum Park, Ji-Hoon Kim, Jaeyoung Do, Joo-Young Kim
A Dual-Mode Similarity Search Accelerator based on Embedding Compression for Online Cross-Modal Image-Text Retrieval. FCCM (2022)
Je Yang, Jaeuk Kim, Joo-Young Kim
LearningGroup: A Real-Time Sparse Training on FPGA via Learnable Weight Grouping for Multi-Agent Reinforcement Learning. CoRR (2022)
Taewoo Kim, Minsu Jeon, Changha Lee, Junsoo Kim, Geonwoo Ko, Joo-Young Kim, Chan-Hyun Youn
Federated Onboard-Ground Station Computing With Weakly Supervised Cascading Pyramid Attention Network for Satellite Image Analysis. IEEE Access 10 (2022)
Ji-Hoon Kim, Juhyoung Lee, Jinsu Lee, Hoi-Jun Yoo, Joo-Young Kim
Z-PIM: An Energy-Efficient Sparsity Aware Processing-In-Memory Architecture with Fully-Variable Weight Precision. VLSI Circuits (2020)
Adrian M. Caulfield, Eric S. 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
Configurable Clouds. IEEE Micro 37 (3) (2017)
Andrew Putnam, Adrian M. Caulfield, Eric S. 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 R. Larus, Eric Peterson, Simon Pope, Aaron Smith, Jason Thong, Phillip Yi Xiao, Doug Burger
A reconfigurable fabric for accelerating large-scale datacenter services. Commun. ACM 59 (11) (2016)
Adrian M. Caulfield, Eric S. Chung, Andrew Putnam, Hari Angepat, 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
A cloud-scale acceleration architecture. MICRO (2016)
Andrew Putnam, Adrian M. Caulfield, Eric S. 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 R. Larus, Eric Peterson, Simon Pope, Aaron Smith, Jason Thong, Phillip Yi Xiao, Doug Burger
A Reconfigurable Fabric for Accelerating Large-Scale Datacenter Services. IEEE Micro 35 (3) (2015)
Kalin Ovtcharov, Olatunji Ruwase, Joo-Young Kim, Jeremy Fowers, Karin Strauss, Eric S. Chung
Toward accelerating deep learning at scale using specialized hardware in the datacenter. Hot Chips Symposium (2015)
Jeremy Fowers, Joo-Young Kim, Doug Burger, Scott Hauck
A Scalable High-Bandwidth Architecture for Lossless Compression on FPGAs. FCCM (2015)
Janarbek Matai, Joo-Young Kim, Ryan Kastner
Energy efficient canonical huffman encoding. ASAP (2014)
Joo-Young Kim, Scott Hauck, Doug Burger
A Scalable Multi-engine Xpress9 Compressor with Asynchronous Data Transfer. FCCM (2014)
Andrew Putnam, Adrian M. Caulfield, Eric S. 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 R. Larus, Eric Peterson, Simon Pope, Aaron Smith, Jason Thong, Phillip Yi Xiao, Doug Burger
A reconfigurable fabric for accelerating large-scale datacenter services. ISCA (2014)
Jinwook Oh, Gyeonghoon Kim, Junyoung Park, Injoon Hong, Seungjin Lee, Joo-Young Kim, Jeong-Ho Woo, Hoi-Jun Yoo
A 320 mW 342 GOPS Real-Time Dynamic Object Recognition Processor for HD 720p Video Streams. IEEE J. Solid State Circuits 48 (1) (2013)
Junyoung Park, Joonsoo Kwon, Jinwook Oh, Seungjin Lee, Joo-Young Kim, Hoi-Jun Yoo
A 92-mW Real-Time Traffic Sign Recognition System With Robust Illumination Adaptation and Support Vector Machine. IEEE J. Solid State Circuits 47 (11) (2012)
Jinwook Oh, Gyeonghoon Kim, Junyoung Park, Injoon Hong, Seungjin Lee, Joo-Young Kim, Hoi-Jun Yoo
A simultaneous multithreading heterogeneous object recognition processor with machine learning based dynamic resource management. COOL Chips (2012)
Jinwook Oh, Gyeonghoon Kim, Injoon Hong, Junyoung Park, Seungjin Lee, Joo-Young Kim, Jeong-Ho Woo, Hoi-Jun Yoo
Low-Power, Real-Time Object-Recognition Processors for Mobile Vision Systems. IEEE Micro 32 (6) (2012)
Seungjin Lee, Minsu Kim, Kwanho Kim, Joo-Young Kim, Hoi-Jun Yoo
Digital Cellular Neural Network for Rapid Visual Attention in an Object-Recognition SoC. IEEE Trans. Neural Networks 22 (1) (2011)
Seungjin Lee, Jinwook Oh, Minsu Kim, Junyoung Park, Joonsoo Kwon, Joo-Young Kim, Hoi-Jun Yoo
Intelligent NoC with neuro-fuzzy bandwidth regulation for a 51 IP object recognition processor. CICC (2010)
Joo-Young Kim, Minsu Kim, Seungjin Lee, Jinwook Oh, Kwanho Kim, Hoi-Jun Yoo
A 201.4 GOPS 496 mW Real-Time Multi-Object Recognition Processor With Bio-Inspired Neural Perception Engine. IEEE J. Solid State Circuits 45 (1) (2010)
Joo-Young Kim, Donghyun Kim, Seungjin Lee, Kwanho Kim, Hoi-Jun Yoo
Visual Image Processing RAM: Memory Architecture With 2-D Data Location Search and Data Consistency Management for a Multicore Object Recognition Processor. IEEE Trans. Circuits Syst. Video Technol. 20 (4) (2010)
Seungjin Lee, Kwanho Kim, Joo-Young Kim, Minsu Kim, Hoi-Jun Yoo
Familiarity based unified visual attention model for fast and robust object recognition. Pattern Recognit. 43 (3) (2010)
Joo-Young Kim, Sejong Oh, Seungjin Lee, Minsu Kim, Jinwook Oh, Hoi-Jun Yoo
An attention controlled multi-core architecture for energy efficient object recognition. Signal Process. Image Commun. 25 (5) (2010)
Joo-Young Kim, Junyoung Park, Seungjin Lee, Minsu Kim, Jinwook Oh, Hoi-Jun Yoo
A 118.4 GB/s Multi-Casting Network-on-Chip With Hierarchical Star-Ring Combined Topology for Real-Time Object Recognition. IEEE J. Solid State Circuits 45 (7) (2010)
Minsu Kim, Joo-Young Kim, Seungjin Lee, Jinwook Oh, Hoi-Jun Yoo
A 54GOPS 51.8mW analog-digital mixed mode Neural Perception Engine for fast object detection. CICC (2009)
Joo-Young Kim, Minsu Kim, Seungjin Lee, Jinwook Oh, Kwanho Kim, Sejong Oh, Jeong-Ho Woo, Donghyun Kim, Hoi-Jun Yoo
A 201.4GOPS 496mW real-time multi-object recognition processor with bio-inspired neural perception engine. ISSCC (2009)
Kwanho Kim, Seungjin Lee, Joo-Young Kim, Minsu Kim, Hoi-Jun Yoo
A 125 GOPS 583 mW Network-on-Chip Based Parallel Processor With Bio-Inspired Visual Attention Engine. IEEE J. Solid State Circuits 44 (1) (2009)
Donghyun Kim, Kwanho Kim, Joo-Young Kim, Seungjin Lee, Se-Joong Lee, Hoi-Jun Yoo
81.6 GOPS Object Recognition Processor Based on a Memory-Centric NoC. IEEE Trans. Very Large Scale Integr. Syst. 17 (3) (2009)
Joo-Young Kim, Seungjin Lee, Jinwook Oh, Minsu Kim, Hoi-Jun Yoo
A 60fps 496mW multi-object recognition processor with workload-aware dynamic power management. ISLPED (2009)
Joo-Young Kim, Kwanho Kim, Seungjin Lee, Minsu Kim, Jinwook Oh, Hoi-Jun Yoo
A 118.4GB/s multi-casting network-on-chip for real-time object recognition processor. ESSCIRC (2009)
Donghyun Kim, Kwanho Kim, Joo-Young Kim, Seungjin Lee, Hoi-Jun Yoo
Memory-centric network-on-chip for power efficient execution of task-level pipeline on a multi-core processor. IET Comput. Digit. Tech. 3 (5) (2009)
Joo-Young Kim, Minsu Kim, Seungjin Lee, Jinwook Oh, Sejong Oh, Hoi-Jun Yoo
Real-Time Object Recognition with Neuro-Fuzzy Controlled Workload-Aware Task Pipelining. IEEE Micro 29 (6) (2009)
Kwanho Kim, Seungjin Lee, Joo-Young Kim, Minsu Kim, Hoi-Jun Yoo
A Configurable Heterogeneous Multicore Architecture With Cellular Neural Network for Real-Time Object Recognition. IEEE Trans. Circuits Syst. Video Technol. 19 (11) (2009)
Donghyun Kim, Kwanho Kim, Joo-Young Kim, Seungjin Lee, Hoi-Jun Yoo
Vision platform for mobile intelligent robot based on 81.6 GOPS object recognition processor. DAC (2008)
Joonsung Bae, Joo-Young Kim, Hoi-Jun Yoo
A 0.6pJ/b 3Gb/s/ch transceiver in 0.18 µm CMOS for 10mm on-chip interconnects. ISCAS (2008)
Kwanho Kim, Joo-Young Kim, Seungjin Lee, Minsu Kim, Hoi-Jun Yoo
A 211 GOPS/W dual-mode real-time object recognition processor with Network-on-Chip. ESSCIRC (2008)
Kwanho Kim, Seungjin Lee, Joo-Young Kim, Minsu Kim, Donghyun Kim, Jeong-Ho Woo, Hoi-Jun Yoo
A 125GOPS 583mW Network-on-Chip Based Parallel Processor with Bio-inspired Visual-Attention Engine. ISSCC (2008)
Donghyun Kim, Kwanho Kim, Joo-Young Kim, Seungjin Lee, Hoi-Jun Yoo
Solutions for Real Chip Implementation Issues of NoC and Their Application to Memory-Centric NoC. NOCS (2007)
Donghyun Kim, Kwanho Kim, Joo-Young Kim, Seungjin Lee, Hoi-Jun Yoo
An 81.6 GOPS Object Recognition Processor Based on NoC and Visual Image Processing Memory. CICC (2007)
Joo-Young Kim, Donghyun Kim, Seungjin Lee, Kwanho Kim, Seonghyun Jeon, Hoi-Jun Yoo
Visual image processing RAM for fast 2-D data location search. ESSCIRC (2007)
Joo-Young Kim, Kangmin Lee, Hoi-Jun Yoo
A 372 ps 64-bit adder using fast pull-up logic in 0.18µm CMOS. ISCAS (2006)
Sungdae Choi, Seong-Jun Song, Kyomin Sohn, Hyejung Kim, Joo-Young Kim, Jerald Yoo, Hoi-Jun Yoo
A Low-power Star-topology Body Area Network Controller for Periodic Data Monitoring Around and Inside the Human Body. ISWC (2006)
Sungdae Choi, Kyomin Sohn, Hyejung Kim, Joo-Young Kim, Seong-Jun Song, Namjun Cho, Jerald Yoo, Hoi-Jun Yoo
An Ultra Low-Power Body Sensor Network Control Processor with Centralized Node Control. SoC (2006)
Sungdae Choi, Seong-Jun Song, Kyomin Sohn, Hyejung Kim, Joo-Young Kim, Namjun Cho, Jeong-Ho Woo, Jerald Yoo, Hoi-Jun Yoo
A Multi-Nodes Human Body Communication Sensor Network Control Processor. CICC (2006)