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ORCIDJoo-Young Kim 0001
Person information
- affiliation: Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea
- affiliation (since 2010): Microsoft Research, Redmond, WA, USA
Other persons with the same name
- Joo-Young Kim
- Joo-Young Kim 0002 — K-JIST, Gwangju, South Korea
- Joo-Young Kim 0003 — Tongmyung University, Distribution Management Department, Busan, South Korea
- Joo-Young Kim 0004 — Yonsei University, Seoul, South Korea
- Joo Young Kim 0005
![[0000-0001-5221-1123]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-5221-1123")
(aka: Joo-Young Kim 0005) — Hanyang University, Department of Biomedical Engineering, Seoul, South Korea - Joo-Young Kim 0006 — HyperAccel, Hwaseong-si, South Korea
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2020 – today
- 2024
[j34]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: 11945-11962 (2024)- [j33]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): 830-841 (2024) - [j32]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): 2671-2683 (2024) - [j31]Yuli Han, Jaemin Kim, Gunmo Koo, Jaejin Kim, Jusung Kim, Joo-Young Kim, Kunhee Cho:
A DVS-Enabled Distributed Digital LDO Providing Rapid Uniform Power Grid and Ripple Reduction Achieving 20.1-ps FOM in 28 nm CMOS. IEEE Trans. Circuits Syst. I Regul. Pap. 71(11): 5081-5090 (2024) - [c46]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: 533-538 - [c45]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: 1-2 - [c44]Sungyeob Yoo, Geonwoo Ko, Seri Ham, Seeyeon Kim, Yi Chen, Joo-Young Kim:
Picasso: An Area/Energy-Efficient End-to-End Diffusion Accelerator with Hyper-Precision Data Type. HCS 2024: 1-15 - [c43]Prasetiyo, Adiwena Putra, Joo-Young Kim:
Morphling: A Throughput-Maximized TFHE-based Accelerator using Transform-domain Reuse. HPCA 2024: 249-262 - [c42]Seunghee Han, Seungjae Moon, Teokkyu Suh, Jaehoon Heo, Joo-Young Kim:
BLESS: Bandwidth and Locality Enhanced SMEM Seeding Acceleration for DNA Sequencing. ISCA 2024: 582-596 - [i10]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 abs/2401.17005 (2024) - [i9]Hery Shin, Jae-Young Kim, Donghyuk Kim, Joo-Young Kim:
HURRY: Highly Utilized, Reconfigurable ReRAM-based In-situ Accelerator with Multifunctionality. CoRR abs/2409.16640 (2024) - 2023
- [j30]Ji-Hoon Kim, Sungyeob Yoo, Joo-Young Kim:
South Korea's Nationwide Effort for AI Semiconductor Industry. Commun. ACM 66(7): 46-51 (2023) - [j29]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): 600-613 (2023) - [j28]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): 2671-2674 (2023) - [j27]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): 278-290 (2023) - [j26]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): 315-326 (2023) - [j25]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): 2487-2496 (2023) - [c41]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: 1-2 - [c40]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: 349-352 - [c39]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: 1017-1030 - [c38]Jaehoon Heo, Yongwon Shin, Sangjin Choi, Sungwoong Yune, Jung-Hoon Kim, Hyojin Sung, Youngjin Kwon, Joo-Young Kim:
PRIMO: A Full-Stack Processing-in-DRAM Emulation Framework for Machine Learning Workloads. ICCAD 2023: 1-9 - [c37]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: 1319-1331 - [c36]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: 1-2 - [i8]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 abs/2305.11423 (2023) - [i7]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 abs/2305.13970 (2023) - 2022
- [j24]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: 117315-117333 (2022) - [j23]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): 101-104 (2022) - [j22]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): 333-337 (2022) - [j21]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): 338-353 (2022) - [j20]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): 354-366 (2022) - [c35]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: 1-2 - [c34]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: 1-9 - [c33]Gyeongcheol Shin, Junsoo Kim, Joo-Young Kim:
OpenMDS: An Open-Source Shell Generation Framework for High-Performance Design on Multi-Die FPGAs. FCCM 2022: 1 - [c32]Yashael Faith Arthanto, David Ojika, Joo-Young Kim:
FSHMEM: Supporting Partitioned Global Address Space on FPGAs for Large-Scale Hardware Acceleration Infrastructure. FPL 2022: 218-224 - [c31]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: 1-9 - [c30]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: 1-17 - [c29]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: 1-16 - [c28]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: 1-10 - [c27]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: 616-630 - [i6]Jung-Hoon Kim, Sungyeob Yoo, Seungjae Moon, Joo-Young Kim:
Exploration of Systolic-Vector Architecture with Resource Scheduling for Dynamic ML Workloads. CoRR abs/2206.03060 (2022) - [i5]Yashael Faith Arthanto, David Ojika, Joo-Young Kim:
FSHMEM: Supporting Partitioned Global Address Space on FPGAs for Large-Scale Hardware Acceleration Infrastructure. CoRR abs/2207.04625 (2022) - [i4]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 abs/2207.05241 (2022) - [i3]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 abs/2209.10797 (2022) - [i2]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 abs/2210.16624 (2022) - 2021
- [j19]Joo-Young Kim:
Chapter Five - FPGA based neural network accelerators. Adv. Comput. 122: 135-165 (2021) - [j18]Ji-Hoon Kim, Juhyoung Lee, Jinsu Lee, Jaehoon Heo, Joo-Young Kim:
Z-PIM: A Sparsity-Aware Processing-in-Memory Architecture With Fully Variable Weight Bit-Precision for Energy-Efficient Deep Neural Networks. IEEE J. Solid State Circuits 56(4): 1093-1104 (2021) - [c26]Je Yang, Seongmin Hong, Joo-Young Kim:
FIXAR: A Fixed-Point Deep Reinforcement Learning Platform with Quantization-Aware Training and Adaptive Parallelism. DAC 2021: 259-264 - [c25]Ji-Hoon Kim, Yeo-Reum Park, Jaeyoung Do, Soo Young Ji, Joo-Young Kim:
Accelerating Large-Scale Nearest Neighbor Search with Computational Storage Device. FCCM 2021: 254 - [i1]Je Yang, Seongmin Hong, Joo-Young Kim:
FIXAR: A Fixed-Point Deep Reinforcement Learning Platform with Quantization-Aware Training and Adaptive Parallelism. CoRR abs/2102.12103 (2021) - 2020
- [c24]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: 1-2
2010 – 2019
- 2017
- [j17]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): 52-61 (2017) - 2016
- [j16]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): 114-122 (2016) - [c23]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: 7:1-7:13 - 2015
- [j15]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): 10-22 (2015) - [c22]Jeremy Fowers, Joo-Young Kim, Doug Burger, Scott Hauck:
A Scalable High-Bandwidth Architecture for Lossless Compression on FPGAs. FCCM 2015: 52-59 - [c21]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: 1-38 - 2014
- [c20]Janarbek Matai, Joo-Young Kim, Ryan Kastner:
Energy efficient canonical huffman encoding. ASAP 2014: 202-209 - [c19]Joo-Young Kim, Scott Hauck, Doug Burger:
A Scalable Multi-engine Xpress9 Compressor with Asynchronous Data Transfer. FCCM 2014: 161-164 - [c18]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: 13-24 - 2013
- [j14]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): 33-45 (2013) - 2012
- [j13]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): 2711-2723 (2012) - [j12]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): 38-50 (2012) - [c17]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: 1-3 - 2011
- [j11]Seungjin Lee, Minsu Kim, Kwanho Kim, Joo-Young Kim, Hoi-Jun Yoo:
24-GOPS 4.5-mm2 Digital Cellular Neural Network for Rapid Visual Attention in an Object-Recognition SoC. IEEE Trans. Neural Networks 22(1): 64-73 (2011) - 2010
- [j10]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): 32-45 (2010) - [j9]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): 1399-1409 (2010) - [j8]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): 1116-1128 (2010) - [j7]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): 363-376 (2010) - [j6]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): 485-495 (2010) - [c16]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: 1-4
2000 – 2009
- 2009
- [j5]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): 513-524 (2009) - [j4]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): 136-147 (2009) - [j3]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): 28-43 (2009) - [j2]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): 1612-1622 (2009) - [j1]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): 370-383 (2009) - [c15]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: 649-652 - [c14]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: 400-403 - [c13]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: 365-370 - [c12]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: 150-151 - 2008
- [c11]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: 96-101 - [c10]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: 462-465 - [c9]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: 2861-2864 - [c8]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: 308-309 - 2007
- [c7]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: 443-446 - [c6]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: 324-327 - [c5]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: 30-39 - 2006
- [c4]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: 109-112 - [c3]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 - [c2]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: 1-4 - [c1]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: 139-140
Coauthor Index
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