Joo-Young Kim

126 papers A* 18A 3B 3C 2Misc 6Journal 65Unranked 29
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adelia: A 4-nm LLM Processing Unit With Streamlined Dataflow and Dual-Mode Parallelism for Maximizing Hardware Efficiency.
IEEE J. Solid State Circuits
Sukbin Lim, Jung-Hoon Kim, Seungjae Moon, Junseo Cha, Dongjin Seo, Jongho Kim, Hunjong Lee, Jinwon Lee, Joo-Young Kim
2026 J jnl
An End-to-End Diffusion Accelerator With Reconfigurable Hyper-Precision and Unified Non-Matrix Processing Engine.
IEEE Trans. Circuits Syst. I Regul. Pap.
Sungyeob Yoo, Seeyeon Kim, Geonwoo Ko, Seri Ham, Yi Chen, Joo-Young Kim
2026 J jnl
DPIM: A 2T1C eDRAM Transformer-in-Memory Chip With Sparsity-Aware Quantization and Heterogeneous Dense-Sparse Core.
IEEE J. Solid State Circuits
Donghyuk Kim, Jae-Young Kim, Hyunjun Cho, Seungjae Yoo, Sukjin Lee, Sungwoong Yune, Sejeong Yang, Hoichang Jeong, Keonhee Park, Ki-Soo Lee, Jongchan Lee, Chanheum Han, Gunmo Koo, Yuli Han, Jaejin Kim, Jaemin Kim, Kyuho Jason Lee, Joo-Hyung Chae, Kunhee Cho, Joo-Young Kim
2026 — conf
OmniCrypt: A 435.86M-GOPS/W Bootstrappable Multi-Scheme FHE Accelerator with on-Chip Data Generation for Privacy-Preserving Computation.
ISSCC
Adiwena Putra, Hyunjun Cho, Sungwoong Yune, Cuong Duong Manh, Jaeho Jeon, Joo-Young Kim
2026 J jnl
POP: Online Structural Pruning Enables Efficient Inference of Large Foundation Models.
CoRR
Yi Chen, Wonjin Shin, Shuhong Liu, Tho Mai, Jeongmo Lee, Chuanbo Hua, Kun Wang, Jun Liu, Joo-Young Kim
2026 J jnl
SCRec: A Scalable Computational Storage System With Statistical Sharding and Tensor-Train Decomposition for Recommendation Models.
IEEE Trans. Computers
Jinho Yang, Ji-Hoon Kim, Joo-Young Kim
2026 J jnl
SeeSSD: Computational Storage for Energy-Efficient Real-Time Object Detection.
ACM Trans. Embed. Comput. Syst.
Muhammad Danish Tehseen, Gyeongcheol Shin, Joo-Young Kim, Youjip Won
2026 — conf
Tri-Oracle: A 17.78μJ/Token Vision-Language Model Accelerator with Token-Attention-Weight Redundancy Prediction.
ISSCC
Seungjae Yoo, Hangyeol Kim, Muyoung Son, Yi Chen, Suheon Jeong, Joo-Young Kim
2026 A* conf
V-Rex: Real-Time Streaming Video LLM Acceleration via Dynamic KV Cache Retrieval.
HPCA
Donghyuk Kim, Sejeong Yang, Wonjin Shin, Joo-Young Kim
2025 — conf
23.10 HuMoniX: A 57.3fps 12.8TFLOPS/W Text-to-Motion Processor with Inter-Iteration Output Sparsity and Inter-Frame Joint Similarity.
ISSCC
Jaehoon Heo, Adiwena Putra, Sungwoong Yune, Jieon Yoon, Hangyeol Lee, Jihoon Kim, Joo-Young Kim
2025 J jnl
A Quantitative Analysis of Mamba-2-Based Large Language Model: Study of State Space Duality.
IEEE Comput. Archit. Lett.
Gyeongrok Yang, Jaeha Min, In-Jun Jung, Joo-Young Kim
2025 J jnl
ABC-FHE : A Resource-Efficient Accelerator Enabling Bootstrappable Parameters for Client-Side Fully Homomorphic Encryption.
CoRR
Sungwoong Yune, Hyojeong Lee, Adiwena Putra, Hyunjun Cho, Cuong Duong Manh, Jaeho Jeon, Joo-Young Kim
2025 A* conf
ABC-FHE: A Resource-Efficient Accelerator Enabling Bootstrappable Parameters for Client-Side Fully Homomorphic Encryption.
DAC
Sungwoong Yune, Hyojeong Lee, Adiwena Putra, Hyunjun Cho, Cuong Duong Manh, Jaeho Jeon, Joo-Young Kim
2025 B conf
ADOR: A Design Exploration Framework for LLM Serving with Enhanced Latency and Throughput.
ISPASS
Junsoo Kim, Hunjong Lee, Geonwoo Ko, Gyubin Choi, Seri Ham, Seongmin Hong, Joo-Young Kim
2025 J jnl
APINT: A Full-Stack Framework for Acceleration of Privacy-Preserving Inference of Transformers based on Garbled Circuits.
CoRR
Hyunjun Cho, Jaeho Jeon, Jaehoon Heo, Joo-Young Kim
2025 — conf
Adelia: A 4nm LLM Processor for Efficient Generative Al Inference.
HCS
Seungjae Moon, Jung-Hoon Kim, Juntaek Oh, Jay Kim, Joo-Young Kim
2025 A* conf
AoP-SAM: Automation of Prompts for Efficient Segmentation.
AAAI
Yi Chen, Muyoung Son, Chuanbo Hua, Joo-Young Kim
2025 J jnl
AoP-SAM: Automation of Prompts for Efficient Segmentation.
CoRR
Yi Chen, Muyoung Son, Chuanbo Hua, Joo-Young Kim
2025 J jnl
Darwin: A DRAM-Based Multi-Level Processing-in-Memory Architecture for Column-Oriented Database.
IEEE Trans. Emerg. Top. Comput.
Donghyuk Kim, Jae-Young Kim, Wontak Han, Jongsoon Won, Haerang Choi, Yongkee Kwon, Joo-Young Kim
2025 J jnl
EXION: Exploiting Inter- and Intra-Iteration Output Sparsity for Diffusion Models.
CoRR
Jaehoon Heo, Adiwena Putra, Jieon Yoon, Sungwoong Yune, Hangyeol Lee, Ji-Hoon Kim, Joo-Young Kim
2025 A* conf
EXION: Exploiting Inter-and Intra-Iteration Output Sparsity for Diffusion Models.
HPCA
Jaehoon Heo, Adiwena Putra, Jieon Yoon, Sungwoong Yune, Hangyeol Lee, Ji-Hoon Kim, Joo-Young Kim
2025 A* conf
HLX: A Unified Pipelined Architecture for Optimized Performance of Hybrid Transformer-Mamba Language Models.
MICRO
In-Jun Jung, Gyeongrok Yang, Jaeha Min, Joo-Young Kim
2025 J jnl
Hawkeye: A Point Cloud Neural Network Processor With Virtual Pillar and Quadtree-Based Workload Management for Real-Time Outdoor BEV Detection.
IEEE J. Solid State Circuits
Sukbin Lim, Jaehoon Heo, Jinho Yang, Joo-Young Kim
2025 A* conf
Hybe: GPU-NPU Hybrid System for Efficient LLM Inference with Million-Token Context Window.
ISCA
Seungjae Moon, Junseo Cha, Hyunjun Park, Joo-Young Kim
2025 A* conf
LightNobel: Improving Sequence Length Limitation in Protein Structure Prediction Model via Adaptive Activation Quantization.
ISCA
Seunghee Han, Soongyu Choi, Joo-Young Kim
2025 J jnl
LightNobel: Improving Sequence Length Limitation in Protein Structure Prediction Model via Adaptive Activation Quantization.
CoRR
Seunghee Han, Soongyu Choi, Joo-Young Kim
2025 A* conf
Oaken: Fast and Efficient LLM Serving with Online-Offline Hybrid KV Cache Quantization.
ISCA
Minsu Kim, Seongmin Hong, Ryeowook Ko, Soongyu Choi, Hunjong Lee, Junsoo Kim, Joo-Young Kim, Jongse Park
2025 J jnl
RED: Energy Optimization Framework for eDRAM-based PIM with Reconfigurable Voltage Swing and Retention-aware Scheduling.
CoRR
Jae-Young Kim, Donghyuk Kim, Seungjae Yoo, Sungyeob Yoo, Teokkyu Suh, Joo-Young Kim
2025 J jnl
SAL-PIM: A Subarray-Level Processing-in-Memory Architecture With LUT-Based Linear Interpolation for Transformer-Based Text Generation.
IEEE Trans. Computers
Wontak Han, Hyunjun Cho, Donghyuk Kim, Joo-Young Kim
2025 J jnl
SCRec: A Scalable Computational Storage System with Statistical Sharding and Tensor-train Decomposition for Recommendation Models.
CoRR
Jinho Yang, Ji-Hoon Kim, Joo-Young Kim
2025 J jnl
Securing DRAM at Scale: ARFM-Driven Row Hammer Defense with Unveiling the Threat of Short tRC Patterns.
CoRR
Nogeun Joo, Donghyuk Kim, Hyunjun Cho, Junseok Noh, Dongha Jung, Joo-Young Kim
2025 J jnl
SuFP: Piecewise Bit Allocation Floating-Point for Robust Neural Network Quantization.
Trans. Mach. Learn. Res.
Geonwoo Ko, Sungyeob Yoo, Seri Ham, Seeyeon Kim, Minkyu Kim, Joo-Young Kim
2025 J jnl
V-Rex: Real-Time Streaming Video LLM Acceleration via Dynamic KV Cache Retrieval.
CoRR
Donghyuk Kim, Sejeong Yang, Wonjin Shin, Joo-Young Kim
2024 — conf
A 38.5TOPS/W Point Cloud Neural Network Processor with Virtual Pillar and Quadtree-based Workload Management for Real-Time Outdoor BEV Detection.
CICC
Sukbin Lim, Jaehoon Heo, Jinho Yang, Joo-Young Kim
2024 J jnl
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.
Yuli Han, Jaemin Kim, Gunmo Koo, Jaejin Kim, Jusung Kim, Joo-Young Kim, Kunhee Cho
2024 J jnl
A Latency Processing Unit: A Latency-Optimized and Highly Scalable Processor for Large Language Model Inference.
IEEE Micro
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
2024 B conf
ACane: An Efficient FPGA-based Embedded Vision Platform with Accumulation-as-Convolution Packing for Autonomous Mobile Robots.
ASPDAC
Jinho Yang, Sungwoong Yune, Sukbin Lim, Donghyuk Kim, Joo-Young Kim
2024 A conf
APINT: A Full-Stack Framework for Acceleration of Privacy-Preserving Inference of Transformers based on Garbled Circuits.
ICCAD
Hyunjun Cho, Jaeho Jeon, Jaehoon Heo, Joo-Young Kim
2024 A* conf
AdapTiV: Sign-Similarity Based Image-Adaptive Token Merging for Vision Transformer Acceleration.
MICRO
Seungjae Yoo, Hangyeol Kim, Joo-Young Kim
2024 A* conf
BLESS: Bandwidth and Locality Enhanced SMEM Seeding Acceleration for DNA Sequencing.
ISCA
Seunghee Han, Seungjae Moon, Teokkyu Suh, Jaehoon Heo, Joo-Young Kim
2024 J jnl
EPU: An Energy-Efficient Explainable AI Accelerator With Sparsity-Free Computation and Heat Map Compression/Pruning.
IEEE J. Solid State Circuits
Junsoo Kim, Seunghee Han, Geonwoo Ko, Ji-Hoon Kim, Changha Lee, Taewoo Kim, Chan-Hyun Youn, Joo-Young Kim
2024 J jnl
HURRY: Highly Utilized, Reconfigurable ReRAM-based In-situ Accelerator with Multifunctionality.
CoRR
Hery Shin, Jae-Young Kim, Donghyuk Kim, Joo-Young Kim
2024 A* conf
Morphling: A Throughput-Maximized TFHE-based Accelerator using Transform-domain Reuse.
HPCA
Prasetiyo, Adiwena Putra, Joo-Young Kim
2024 — conf
Picasso: An Area/Energy-Efficient End-to-End Diffusion Accelerator with Hyper-Precision Data Type.
HCS
Sungyeob Yoo, Geonwoo Ko, Seri Ham, Seeyeon Kim, Yi Chen, Joo-Young Kim
2024 J jnl
SAL-PIM: A Subarray-level Processing-in-Memory Architecture with LUT-based Linear Interpolation for Transformer-based Text Generation.
CoRR
Wontak Han, Hyunjun Cho, Donghyuk Kim, Joo-Young Kim
2024 J jnl
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
Jaehoon Heo, Jung-Hoon Kim, Wontak Han, Jaeuk Kim, Joo-Young Kim
2024 J jnl
Trinity: In-Database Near-Data Machine Learning Acceleration Platform for Advanced Data Analytics.
IEEE Access
Ji-Hoon Kim, Seunghee Han, Kwanghyun Park, Soo-Young Ji, Joo-Young Kim
2023 — conf
A 26.55TOPS/W Explainable AI Processor with Dynamic Workload Allocation and Heat Map Compression/Pruning.
CICC
Junsoo Kim, Geonwoo Ko, Ji-Hoon Kim, Changha Lee, Taewoo Kim, Chan-Hyun Youn, Joo-Young Kim
2023 J jnl
Accelerating Deep Convolutional Neural Networks Using Number Theoretic Transform.
IEEE Trans. Circuits Syst. I Regul. Pap.
Prasetiyo, Seongmin Hong, Yashael Faith Arthanto, Joo-Young Kim
2023 J jnl
Accelerating Large-Scale Graph-Based Nearest Neighbor Search on a Computational Storage Platform.
IEEE Trans. Computers
Ji-Hoon Kim, Yeo-Reum Park, Jaeyoung Do, Soo-Young Ji, Joo-Young Kim
2023 J jnl
Agamotto: A Performance Optimization Framework for CNN Accelerator With Row Stationary Dataflow.
IEEE Trans. Circuits Syst. I Regul. Pap.
Donghyuk Kim, Sanghyun Jeong, Joo-Young Kim
2023 J jnl
Darwin: A DRAM-based Multi-level Processing-in-Memory Architecture for Data Analytics.
CoRR
Donghyuk Kim, Jae-Young Kim, Wontak Han, Jongsoon Won, Haerang Choi, Yongkee Kwon, Joo-Young Kim
2023 J jnl
Introduction to the Special Section on the 2022 Asian Solid-State Circuits Conference (A-SSCC).
IEEE J. Solid State Circuits
SeongHwan Cho, Joo-Young Kim, Minoru Fujishima, Jun Zhou
2023 — conf
JNPU: A 1.04TFLOPS Joint-DNN Training Processor with Speculative Cyclic Quantization and Triple Heterogeneity on Microarchitecture / Precision / Dataflow.
ESSCIRC
Je Yang, Sukbin Lim, Sukjin Lee, Jae-Young Kim, Joo-Young Kim
2023 A* conf
LightTrader: A Standalone High-Frequency Trading System with Deep Learning Inference Accelerators and Proactive Scheduler.
HPCA
Sungyeob Yoo, Hyunsung Kim, Jinseok Kim, Sunghyun Park, Joo-Young Kim, Jinwook Oh
2023 A conf
PRIMO: A Full-Stack Processing-in-DRAM Emulation Framework for Machine Learning Workloads.
ICCAD
Jaehoon Heo, Yongwon Shin, Sangjin Choi, Sungwoong Yune, Jung-Hoon Kim, Hyojin Sung, Youngjin Kwon, Joo-Young Kim
2023 — conf
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
Jung-Hoon Kim, Jaehoon Heo, Wontak Han, Jaeuk Kim, Joo-Young Kim
2023 J jnl
South Korea's Nationwide Effort for AI Semiconductor Industry.
Commun. ACM
Ji-Hoon Kim, Sungyeob Yoo, Joo-Young Kim
2023 A* conf
Strix: An End-to-End Streaming Architecture with Two-Level Ciphertext Batching for Fully Homomorphic Encryption with Programmable Bootstrapping.
MICRO
Adiwena Putra, Prasetiyo, Yi Chen, John Kim, Joo-Young Kim
2023 J jnl
Strix: An End-to-End Streaming Architecture with Two-Level Ciphertext Batching for Fully Homomorphic Encryption with Programmable Bootstrapping.
CoRR
Adiwena Putra, Prasetiyo, Yi Chen, John Kim, Joo-Young Kim
2023 J jnl
T-PIM: An Energy-Efficient Processing-in-Memory Accelerator for End-to-End On-Device Training.
IEEE J. Solid State Circuits
Jaehoon Heo, Junsoo Kim, Sukbin Lim, Wontak Han, Joo-Young Kim
2022 Misc conf
A Dual-Mode Similarity Search Accelerator based on Embedding Compression for Online Cross-Modal Image-Text Retrieval.
FCCM
Yeo-Reum Park, Ji-Hoon Kim, Jaeyoung Do, Joo-Young Kim
2022 J jnl
Accelerating Large-Scale Graph-based Nearest Neighbor Search on a Computational Storage Platform.
CoRR
Ji-Hoon Kim, Yeo-Reum Park, Jaeyoung Do, Soo Young Ji, Joo-Young Kim
2022 J jnl
An Overview of Processing-in-Memory Circuits for Artificial Intelligence and Machine Learning.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Donghyuk Kim, Chengshuo Yu, Shanshan Xie, Yuzong Chen, Joo-Young Kim, Bongjin Kim, Jaydeep P. Kulkarni, Tony Tae-Hyoung Kim
2022 — conf
DFX: A Low-latency Multi-FPGA Appliance for Accelerating Transformer-based Text Generation.
HCS
Seongmin Hong, Seungjae Moon, Junsoo Kim, Sungjae Lee, Minsub Kim, Dongsoo Lee, Joo-Young Kim
2022 A* conf
DFX: A Low-latency Multi-FPGA Appliance for Accelerating Transformer-based Text Generation.
MICRO
Seongmin Hong, Seungjae Moon, Junsoo Kim, Sungjae Lee, Minsub Kim, Dongsoo Lee, Joo-Young Kim
2022 J jnl
DFX: A Low-latency Multi-FPGA Appliance for Accelerating Transformer-based Text Generation.
CoRR
Seongmin Hong, Seungjae Moon, Junsoo Kim, Sungjae Lee, Minsub Kim, Dongsoo Lee, Joo-Young Kim
2022 J jnl
Design of Processing-in-Memory With Triple Computational Path and Sparsity Handling for Energy-Efficient DNN Training.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Wontak Han, Jaehoon Heo, Junsoo Kim, Sukbin Lim, Joo-Young Kim
2022 J jnl
Exploration of Systolic-Vector Architecture with Resource Scheduling for Dynamic ML Workloads.
CoRR
Jung-Hoon Kim, Sungyeob Yoo, Seungjae Moon, Joo-Young Kim
2022 B conf
FSHMEM: Supporting Partitioned Global Address Space on FPGAs for Large-Scale Hardware Acceleration Infrastructure.
FPL
Yashael Faith Arthanto, David Ojika, Joo-Young Kim
2022 J jnl
FSHMEM: Supporting Partitioned Global Address Space on FPGAs for Large-Scale Hardware Acceleration Infrastructure.
CoRR
Yashael Faith Arthanto, David Ojika, Joo-Young Kim
2022 J jnl
Federated Onboard-Ground Station Computing With Weakly Supervised Cascading Pyramid Attention Network for Satellite Image Analysis.
IEEE Access
Taewoo Kim, Minsu Jeon, Changha Lee, Junsoo Kim, Geonwoo Ko, Joo-Young Kim, Chan-Hyun Youn
2022 J jnl
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.
Tony Tae-Hyoung Kim, Bongjin Kim, Joo-Young Kim, Jaydeep P. Kulkarni
2022 — conf
LearningGroup: A Real-Time Sparse Training on FPGA via Learnable Weight Grouping for Multi-Agent Reinforcement Learning.
FPT
Je Yang, Jaeuk Kim, Joo-Young Kim
2022 J jnl
LearningGroup: A Real-Time Sparse Training on FPGA via Learnable Weight Grouping for Multi-Agent Reinforcement Learning.
CoRR
Je Yang, Jaeuk Kim, Joo-Young Kim
2022 — conf
LightTrader : World's first AI-enabled High-Frequency Trading Solution with 16 TFLOPS / 64 TOPS Deep Learning Inference Accelerators.
HCS
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
2022 Misc conf
OpenMDS: An Open-Source Shell Generation Framework for High-Performance Design on Multi-Die FPGAs.
FCCM
Gyeongcheol Shin, Junsoo Kim, Joo-Young Kim
2022 J jnl
OpenMDS: An Open-Source Shell Generation Framework for High-Performance Design on Xilinx Multi-Die FPGAs.
IEEE Comput. Archit. Lett.
Gyeongcheol Shin, Junsoo Kim, Joo-Young Kim
2022 — conf
T-PIM: A 2.21-to-161.08TOPS/W Processing-In-Memory Accelerator for End-to-End On-Device Training.
CICC
Jaehoon Heo, Junsoo Kim, Wontak Han, Sukbin Lim, Joo-Young Kim
2022 — conf
Trinity: End-to-End In-Database Near-Data Machine Learning Acceleration Platform for Advanced Data Analytics.
HCS
Ji-Hoon Kim, Seunghee Han, Kwanghyun Park, Soo-Young Ji, Joo-Young Kim
2021 Misc conf
Accelerating Large-Scale Nearest Neighbor Search with Computational Storage Device.
FCCM
Ji-Hoon Kim, Yeo-Reum Park, Jaeyoung Do, Soo Young Ji, Joo-Young Kim
2021 J jnl
Chapter Five - FPGA based neural network accelerators.
Adv. Comput.
Joo-Young Kim
2021 A* conf
FIXAR: A Fixed-Point Deep Reinforcement Learning Platform with Quantization-Aware Training and Adaptive Parallelism.
DAC
Je Yang, Seongmin Hong, Joo-Young Kim
2021 J jnl
FIXAR: A Fixed-Point Deep Reinforcement Learning Platform with Quantization-Aware Training and Adaptive Parallelism.
CoRR
Je Yang, Seongmin Hong, Joo-Young Kim
2021 J jnl
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
Ji-Hoon Kim, Juhyoung Lee, Jinsu Lee, Jaehoon Heo, Joo-Young Kim
2020 — conf
Z-PIM: An Energy-Efficient Sparsity Aware Processing-In-Memory Architecture with Fully-Variable Weight Precision.
VLSI Circuits
Ji-Hoon Kim, Juhyoung Lee, Jinsu Lee, Hoi-Jun Yoo, Joo-Young Kim
2017 J jnl
Configurable Clouds.
IEEE Micro
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
2016 A* conf
A cloud-scale acceleration architecture.
MICRO
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
2016 J jnl
A reconfigurable fabric for accelerating large-scale datacenter services.
Commun. ACM
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
2015 J jnl
A Reconfigurable Fabric for Accelerating Large-Scale Datacenter Services.
IEEE Micro
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
2015 Misc conf
A Scalable High-Bandwidth Architecture for Lossless Compression on FPGAs.
FCCM
Jeremy Fowers, Joo-Young Kim, Doug Burger, Scott Hauck
2015 — conf
Toward accelerating deep learning at scale using specialized hardware in the datacenter.
Hot Chips Symposium
Kalin Ovtcharov, Olatunji Ruwase, Joo-Young Kim, Jeremy Fowers, Karin Strauss, Eric S. Chung
2014 Misc conf
A Scalable Multi-engine Xpress9 Compressor with Asynchronous Data Transfer.
FCCM
Joo-Young Kim, Scott Hauck, Doug Burger
2014 A* conf
A reconfigurable fabric for accelerating large-scale datacenter services.
ISCA
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
2014 — conf
Energy efficient canonical huffman encoding.
ASAP
Janarbek Matai, Joo-Young Kim, Ryan Kastner
2013 J jnl
A 320 mW 342 GOPS Real-Time Dynamic Object Recognition Processor for HD 720p Video Streams.
IEEE J. Solid State Circuits
Jinwook Oh, Gyeonghoon Kim, Junyoung Park, Injoon Hong, Seungjin Lee, Joo-Young Kim, Jeong-Ho Woo, Hoi-Jun Yoo
2012 J jnl
A 92-mW Real-Time Traffic Sign Recognition System With Robust Illumination Adaptation and Support Vector Machine.
IEEE J. Solid State Circuits
Junyoung Park, Joonsoo Kwon, Jinwook Oh, Seungjin Lee, Joo-Young Kim, Hoi-Jun Yoo
2012 — conf
A simultaneous multithreading heterogeneous object recognition processor with machine learning based dynamic resource management.
COOL Chips
Jinwook Oh, Gyeonghoon Kim, Junyoung Park, Injoon Hong, Seungjin Lee, Joo-Young Kim, Hoi-Jun Yoo
2012 J jnl
Low-Power, Real-Time Object-Recognition Processors for Mobile Vision Systems.
IEEE Micro
Jinwook Oh, Gyeonghoon Kim, Injoon Hong, Junyoung Park, Seungjin Lee, Joo-Young Kim, Jeong-Ho Woo, Hoi-Jun Yoo
2011 J jnl
24-GOPS 4.5-mm
IEEE Trans. Neural Networks
Seungjin Lee, Minsu Kim, Kwanho Kim, Joo-Young Kim, Hoi-Jun Yoo
2010 J jnl
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
Joo-Young Kim, Junyoung Park, Seungjin Lee, Minsu Kim, Jinwook Oh, Hoi-Jun Yoo
2010 J jnl
A 201.4 GOPS 496 mW Real-Time Multi-Object Recognition Processor With Bio-Inspired Neural Perception Engine.
IEEE J. Solid State Circuits
Joo-Young Kim, Minsu Kim, Seungjin Lee, Jinwook Oh, Kwanho Kim, Hoi-Jun Yoo
2010 J jnl
An attention controlled multi-core architecture for energy efficient object recognition.
Signal Process. Image Commun.
Joo-Young Kim, Sejong Oh, Seungjin Lee, Minsu Kim, Jinwook Oh, Hoi-Jun Yoo
2010 J jnl
Familiarity based unified visual attention model for fast and robust object recognition.
Pattern Recognit.
Seungjin Lee, Kwanho Kim, Joo-Young Kim, Minsu Kim, Hoi-Jun Yoo
2010 — conf
Intelligent NoC with neuro-fuzzy bandwidth regulation for a 51 IP object recognition processor.
CICC
Seungjin Lee, Jinwook Oh, Minsu Kim, Junyoung Park, Joonsoo Kwon, Joo-Young Kim, Hoi-Jun Yoo
2010 J jnl
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.
Joo-Young Kim, Donghyun Kim, Seungjin Lee, Kwanho Kim, Hoi-Jun Yoo
2009 J jnl
81.6 GOPS Object Recognition Processor Based on a Memory-Centric NoC.
IEEE Trans. Very Large Scale Integr. Syst.
Donghyun Kim, Kwanho Kim, Joo-Young Kim, Seungjin Lee, Se-Joong Lee, Hoi-Jun Yoo
2009 — conf
A 118.4GB/s multi-casting network-on-chip for real-time object recognition processor.
ESSCIRC
Joo-Young Kim, Kwanho Kim, Seungjin Lee, Minsu Kim, Jinwook Oh, Hoi-Jun Yoo
2009 J jnl
A 125 GOPS 583 mW Network-on-Chip Based Parallel Processor With Bio-Inspired Visual Attention Engine.
IEEE J. Solid State Circuits
Kwanho Kim, Seungjin Lee, Joo-Young Kim, Minsu Kim, Hoi-Jun Yoo
2009 — conf
A 201.4GOPS 496mW real-time multi-object recognition processor with bio-inspired neural perception engine.
ISSCC
Joo-Young Kim, Minsu Kim, Seungjin Lee, Jinwook Oh, Kwanho Kim, Sejong Oh, Jeong-Ho Woo, Donghyun Kim, Hoi-Jun Yoo
2009 — conf
A 54GOPS 51.8mW analog-digital mixed mode Neural Perception Engine for fast object detection.
CICC
Minsu Kim, Joo-Young Kim, Seungjin Lee, Jinwook Oh, Hoi-Jun Yoo
2009 A conf
A 60fps 496mW multi-object recognition processor with workload-aware dynamic power management.
ISLPED
Joo-Young Kim, Seungjin Lee, Jinwook Oh, Minsu Kim, Hoi-Jun Yoo
2009 J jnl
A Configurable Heterogeneous Multicore Architecture With Cellular Neural Network for Real-Time Object Recognition.
IEEE Trans. Circuits Syst. Video Technol.
Kwanho Kim, Seungjin Lee, Joo-Young Kim, Minsu Kim, Hoi-Jun Yoo
2009 J jnl
Memory-centric network-on-chip for power efficient execution of task-level pipeline on a multi-core processor.
IET Comput. Digit. Tech.
Donghyun Kim, Kwanho Kim, Joo-Young Kim, Seungjin Lee, Hoi-Jun Yoo
2009 J jnl
Real-Time Object Recognition with Neuro-Fuzzy Controlled Workload-Aware Task Pipelining.
IEEE Micro
Joo-Young Kim, Minsu Kim, Seungjin Lee, Jinwook Oh, Sejong Oh, Hoi-Jun Yoo
2008 C conf
A 0.6pJ/b 3Gb/s/ch transceiver in 0.18 µm CMOS for 10mm on-chip interconnects.
ISCAS
Joonsung Bae, Joo-Young Kim, Hoi-Jun Yoo
2008 — conf
A 125GOPS 583mW Network-on-Chip Based Parallel Processor with Bio-inspired Visual-Attention Engine.
ISSCC
Kwanho Kim, Seungjin Lee, Joo-Young Kim, Minsu Kim, Donghyun Kim, Jeong-Ho Woo, Hoi-Jun Yoo
2008 — conf
A 211 GOPS/W dual-mode real-time object recognition processor with Network-on-Chip.
ESSCIRC
Kwanho Kim, Joo-Young Kim, Seungjin Lee, Minsu Kim, Hoi-Jun Yoo
2008 A* conf
Vision platform for mobile intelligent robot based on 81.6 GOPS object recognition processor.
DAC
Donghyun Kim, Kwanho Kim, Joo-Young Kim, Seungjin Lee, Hoi-Jun Yoo
2007 — conf
An 81.6 GOPS Object Recognition Processor Based on NoC and Visual Image Processing Memory.
CICC
Donghyun Kim, Kwanho Kim, Joo-Young Kim, Seungjin Lee, Hoi-Jun Yoo
2007 — conf
Solutions for Real Chip Implementation Issues of NoC and Their Application to Memory-Centric NoC.
NOCS
Donghyun Kim, Kwanho Kim, Joo-Young Kim, Seungjin Lee, Hoi-Jun Yoo
2007 — conf
Visual image processing RAM for fast 2-D data location search.
ESSCIRC
Joo-Young Kim, Donghyun Kim, Seungjin Lee, Kwanho Kim, Seonghyun Jeon, Hoi-Jun Yoo
2006 C conf
A 372 ps 64-bit adder using fast pull-up logic in 0.18µm CMOS.
ISCAS
Joo-Young Kim, Kangmin Lee, Hoi-Jun Yoo
2006 Misc conf
A Low-power Star-topology Body Area Network Controller for Periodic Data Monitoring Around and Inside the Human Body.
ISWC
Sungdae Choi, Seong-Jun Song, Kyomin Sohn, Hyejung Kim, Joo-Young Kim, Jerald Yoo, Hoi-Jun Yoo
2006 — conf
A Multi-Nodes Human Body Communication Sensor Network Control Processor.
CICC
Sungdae Choi, Seong-Jun Song, Kyomin Sohn, Hyejung Kim, Joo-Young Kim, Namjun Cho, Jeong-Ho Woo, Jerald Yoo, Hoi-Jun Yoo
2006 — conf
An Ultra Low-Power Body Sensor Network Control Processor with Centralized Node Control.
SoC
Sungdae Choi, Kyomin Sohn, Hyejung Kim, Joo-Young Kim, Seong-Jun Song, Namjun Cho, Jerald Yoo, Hoi-Jun Yoo