Jinwook Oh

44 papers A* 3A 3C 2Journal 14Unranked 22
YearRankTypeTitle / Venue / Authors
2026 — conf
A Quad-Chiplet AI SoC with Full-Chip Scalable Mesh Over 16Gb/s UCIe-Advanced Die-to-Die Interface for Large-Scale AI Inferencing.
ISSCC
Chang-Hyo Yu, Jaewan Bae, Jinseok Kim, Hongyun Kim, Wongyu Shin, Jae-Sung Yoon, Young-Jae Jin, Jungju Oh, Jaebong Lee, Eunseo Kim, Miock Chi, Sungpill Choi, Donghan Kim, Hyunje Jo, Hyunho Kim, Hyun-Seok Heo, Hyunsung Kim, Seung-Goo Kim, Myung-Hoon Choi, Sangeun Je, Junhee Ham, Juyeong Yoon, Yashael Faith Arthanto, Sung-il Bae, Sanggyu Park, JoungWoo Lee, Heeyoung Chae, Kiljun Ryu, Yongjik Kim, Jin-O. Seo, Nara Cho, Taeyoung Jeon, Gukchae Ahn, Myoungoh Ki, Junkyeong Choi, Seungcheol Baek, Daehoon Kim, Juhwan Kim, Sungmoon Kang, Sieon Son, Minseo Kim, Yeounghwan Choe, Younggeun Lee, Sunghyun Park, Jinwook Oh
2025 — conf
AMXFP4: Taming Activation Outliers with Asymmetric Microscaling Floating-Point for 4-bit LLM Inference.
ACL (Findings)
Janghwan Lee, Jiwoong Park, Jinseok Kim, Yongjik Kim, Jungju Oh, Jinwook Oh, Jungwook Choi
2025 A conf
CTDM: Resource-Efficient FPGA-Accelerated Simulation of Large-Scale NPU Designs.
ICCAD
Hyunje Jo, Han-Sok Suh, Hyun-Seok Heo, Jinseok Kim, Hyunsung Kim, Boeui Hong, Jungju Oh, Sunghyun Park, Jinwook Oh, Sunghwan Jo, Kangwook Lee, Jae-sun Seo
2024 — conf
2.4 ATOMUS: A 5nm 32TFLOPS/128TOPS ML System-on-Chip for Latency Critical Applications.
ISSCC
Chang-Hyo Yu, Hyo-Eun Kim, Sungho Shin, Kyeongryeol Bong, Hyunsuk Kim, Yoonho Boo, Jaewan Bae, Minjae Kwon, Karim Charfi, Jinseok Kim, Hongyun Kim, Myeongbo Shim, Changsoo Ha, Wongyu Shin, Jae-Sung Yoon, Miock Chi, Byungjae Lee, Sungpill Choi, Donghan Kim, Jeongseok Woo, Seokju Yoon, Hyunje Jo, Hyunho Kim, Hyun-Seok Heo, Young-Jae Jin, Jiun Yu, Jaehwan Lee, Hyunsung Kim, Minhoo Kang, Seokhyeon Choi, Seung-Goo Kim, Myung-Hoon Choi, Jungju Oh, Yunseong Kim, Haejoon Kim, Sangeun Je, Junhee Ham, Juyeong Yoon, Jaedon Lee, Seonhyeok Park, Youngseob Park, Jaebong Lee, Boeui Hong, Jaehun Ryu, Hyunseok Ko, Kwanghyun Chung, Jongho Choi, Sunwook Jung, Yashael Faith Arthanto, Jonghyeon Kim, Heejin Cho, Hyebin Jeong, Sungmin Choi, Sujin Han, Junkyu Park, Kwangbae Lee, Sung-il Bae, Jaeho Bang, Kyeong-Jae Lee, Yeongsang Jang, Jungchul Park, Sanggyu Park, Jueon Park, Hyein Shin, Sunghyun Park, Jinwook Oh
2024 J jnl
AMXFP4: Taming Activation Outliers with Asymmetric Microscaling Floating-Point for 4-bit LLM Inference.
CoRR
Janghwan Lee, Jiwoong Park, Jinseok Kim, Yongjik Kim, Jungju Oh, Jinwook Oh, Jungwook Choi
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
2022 J jnl
A 7-nm Four-Core Mixed-Precision AI Chip With 26.2-TFLOPS Hybrid-FP8 Training, 104.9-TOPS INT4 Inference, and Workload-Aware Throttling.
IEEE J. Solid State Circuits
Sae Kyu Lee, Ankur Agrawal, Joel Silberman, Matthew M. Ziegler, Mingu Kang, Swagath Venkataramani, Nianzheng Cao, Bruce M. Fleischer, Michael Guillorn, Matthew Cohen, Silvia M. Mueller, Jinwook Oh, Martin Lutz, Jinwook Jung, Siyu Koswatta, Ching Zhou, Vidhi Zalani, Monodeep Kar, James Bonanno, Robert Casatuta, Chia-Yu Chen, Jungwook Choi, Howard Haynie, Alyssa Herbert, Radhika Jain, Kyu-Hyoun Kim, Yulong Li, Zhibin Ren, Scot Rider, Marcel Schaal, Kerstin Schelm, Michael Scheuermann, Xiao Sun, Hung Tran, Naigang Wang, Wei Wang, Xin Zhang, Vinay Shah, Brian W. Curran, Vijayalakshmi Srinivasan, Pong-Fei Lu, Sunil Shukla, Kailash Gopalakrishnan, Leland Chang
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
2021 — conf
A 7nm 4-Core AI Chip with 25.6TFLOPS Hybrid FP8 Training, 102.4TOPS INT4 Inference and Workload-Aware Throttling.
ISSCC
Ankur Agrawal, Sae Kyu Lee, Joel Silberman, Matthew M. Ziegler, Mingu Kang, Swagath Venkataramani, Nianzheng Cao, Bruce M. Fleischer, Michael Guillorn, Matt Cohen, Silvia M. Mueller, Jinwook Oh, Martin Lutz, Jinwook Jung, Siyu Koswatta, Ching Zhou, Vidhi Zalani, James Bonanno, Robert Casatuta, Chia-Yu Chen, Jungwook Choi, Howard Haynie, Alyssa Herbert, Radhika Jain, Monodeep Kar, Kyu-Hyoun Kim, Yulong Li, Zhibin Ren, Scot Rider, Marcel Schaal, Kerstin Schelm, Michael Scheuermann, Xiao Sun, Hung Tran, Naigang Wang, Wei Wang, Xin Zhang, Vinay Shah, Brian W. Curran, Vijayalakshmi Srinivasan, Pong-Fei Lu, Sunil Shukla, Leland Chang, Kailash Gopalakrishnan
2021 A* conf
RaPiD: AI Accelerator for Ultra-low Precision Training and Inference.
ISCA
Swagath Venkataramani, Vijayalakshmi Srinivasan, Wei Wang, Sanchari Sen, Jintao Zhang, Ankur Agrawal, Monodeep Kar, Shubham Jain, Alberto Mannari, Hoang Tran, Yulong Li, Eri Ogawa, Kazuaki Ishizaki, Hiroshi Inoue, Marcel Schaal, Mauricio J. Serrano, Jungwook Choi, Xiao Sun, Naigang Wang, Chia-Yu Chen, Allison Allain, James Bonanno, Nianzheng Cao, Robert Casatuta, Matthew Cohen, Bruce M. Fleischer, Michael Guillorn, Howard Haynie, Jinwook Jung, Mingu Kang, Kyu-Hyoun Kim, Siyu Koswatta, Sae Kyu Lee, Martin Lutz, Silvia M. Mueller, Jinwook Oh, Ashish Ranjan, Zhibin Ren, Scot Rider, Kerstin Schelm, Michael Scheuermann, Joel Silberman, Jie Yang, Vidhi Zalani, Xin Zhang, Ching Zhou, Matthew M. Ziegler, Vinay Shah, Moriyoshi Ohara, Pong-Fei Lu, Brian W. Curran, Sunil Shukla, Leland Chang, Kailash Gopalakrishnan
2020 — conf
A 3.0 TFLOPS 0.62V Scalable Processor Core for High Compute Utilization AI Training and Inference.
VLSI Circuits
Jinwook Oh, Sae Kyu Lee, Mingu Kang, Matthew M. Ziegler, Joel Silberman, Ankur Agrawal, Swagath Venkataramani, Bruce M. Fleischer, Michael Guillorn, Jungwook Choi, Wei Wang, Silvia M. Mueller, Shimon Ben-Yehuda, James Bonanno, Nianzheng Cao, Robert Casatuta, Chia-Yu Chen, Matt Cohen, Ophir Erez, Thomas W. Fox, George Gristede, Howard Haynie, Vicktoria Ivanov, Siyu Koswatta, Shih-Hsien Lo, Martin Lutz, Gary W. Maier, Alex Mesh, Yevgeny Nustov, Scot Rider, Marcel Schaal, Michael Scheuermann, Xiao Sun, Naigang Wang, Fanchieh Yee, Ching Zhou, Vinay Shah, Brian W. Curran, Vijayalakshmi Srinivasan, Pong-Fei Lu, Sunil Shukla, Kailash Gopalakrishnan, Leland Chang
2020 J jnl
Efficient AI System Design With Cross-Layer Approximate Computing.
Proc. IEEE
Swagath Venkataramani, Xiao Sun, Naigang Wang, Chia-Yu Chen, Jungwook Choi, Mingu Kang, Ankur Agarwal, Jinwook Oh, Shubham Jain, Tina Babinsky, Nianzheng Cao, Thomas W. Fox, Bruce M. Fleischer, George Gristede, Michael Guillorn, Howard Haynie, Hiroshi Inoue, Kazuaki Ishizaki, Michael J. Klaiber, Shih-Hsien Lo, Gary W. Maier, Silvia M. Mueller, Michael Scheuermann, Eri Ogawa, Marcel Schaal, Mauricio J. Serrano, Joel Silberman, Christos Vezyrtzis, Wei Wang, Fanchieh Yee, Jintao Zhang, Matthew M. Ziegler, Ching Zhou, Moriyoshi Ohara, Pong-Fei Lu, Brian W. Curran, Sunil Shukla, Vijayalakshmi Srinivasan, Leland Chang, Kailash Gopalakrishnan
2018 — conf
A Scalable Multi- TeraOPS Deep Learning Processor Core for AI Trainina and Inference.
VLSI Circuits
Bruce M. Fleischer, Sunil Shukla, Matthew M. Ziegler, Joel Silberman, Jinwook Oh, Vijayalakshmi Srinivasan, Jungwook Choi, Silvia M. Mueller, Ankur Agrawal, Tina Babinsky, Nianzheng Cao, Chia-Yu Chen, Pierce Chuang, Thomas W. Fox, George Gristede, Michael Guillorn, Howard Haynie, Michael J. Klaiber, Dongsoo Lee, Shih-Hsien Lo, Gary W. Maier, Michael Scheuermann, Swagath Venkataramani, Christos Vezyrtzis, Naigang Wang, Fanchieh Yee, Ching Zhou, Pong-Fei Lu, Brian W. Curran, Leland Chang, Kailash Gopalakrishnan
2018 A conf
Across the Stack Opportunities for Deep Learning Acceleration.
ISLPED
Vijayalakshmi Srinivasan, Bruce M. Fleischer, Sunil Shukla, Matthew M. Ziegler, Joel Silberman, Jinwook Oh, Jungwook Choi, Silvia M. Mueller, Ankur Agrawal, Tina Babinsky, Nianzheng Cao, Chia-Yu Chen, Pierce Chuang, Thomas W. Fox, George Gristede, Michael Guillorn, Howard Haynie, Michael J. Klaiber, Dongsoo Lee, Shih-Hsien Lo, Gary W. Maier, Michael Scheuermann, Swagath Venkataramani, Christos Vezyrtzis, Naigang Wang, Fanchieh Yee, Ching Zhou, Pong-Fei Lu, Brian W. Curran, Leland Chang, Kailash Gopalakrishnan
2018 C conf
SC-Conv: Sparse-Complementary Convolution for Efficient Model Utilization on CNNs.
ISM
Chun-Fu Chen, Jinwook Oh, Quanfu Fan, Marco Pistoia
2017 A* conf
Accelerator Design for Deep Learning Training: Extended Abstract: Invited.
DAC
Ankur Agrawal, Chia-Yu Chen, Jungwook Choi, Kailash Gopalakrishnan, Jinwook Oh, Sunil Shukla, Viji Srinivasan, Swagath Venkataramani, Wei Zhang
2016 — conf
Approximate computing: Challenges and opportunities.
ICRC
Ankur Agrawal, Jungwook Choi, Kailash Gopalakrishnan, Suyog Gupta, Ravi Nair, Jinwook Oh, Daniel A. Prener, Sunil Shukla, Vijayalakshmi Srinivasan, Zehra Sura
2016 — conf
Energy-Efficient Simultaneous Localization and Mapping via Compounded Approximate Computing.
SiPS
Jinwook Oh, Jungwook Choi, Guilherme C. Januario, Kailash Gopalakrishnan
2014 — conf
10.4 A 1.22TOPS and 1.52mW/MHz augmented reality multi-core processor with neural network NoC for HMD applications.
ISSCC
Gyeonghoon Kim, Youchang Kim, Kyuho Lee, Seongwook Park, Injoon Hong, Kyeongryeol Bong, Dongjoo Shin, Sungpill Choi, Jinwook Oh, Hoi-Jun Yoo
2013 J jnl
1.2-mW Online Learning Mixed-Mode Intelligent Inference Engine for Low-Power Real-Time Object Recognition Processor.
IEEE Trans. Very Large Scale Integr. Syst.
Jinwook Oh, Seungjin Lee, Hoi-Jun Yoo
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
2013 J jnl
A 57 mW 12.5 µJ/Epoch Embedded Mixed-Mode Neuro-Fuzzy Processor for Mobile Real-Time Object Recognition.
IEEE J. Solid State Circuits
Jinwook Oh, Gyeonghoon Kim, Byeong-Gyu Nam, Hoi-Jun Yoo
2013 J jnl
An 86 mW 98GOPS ANN-Searching Processor for Full-HD 30 fps Video Object Recognition With Zeroless Locality-Sensitive Hashing.
IEEE J. Solid State Circuits
Gyeonghoon Kim, Jinwook Oh, Seungjin Lee, Hoi-Jun Yoo
2012 — conf
A 320mW 342GOPS real-time moving object recognition processor for HD 720p video streams.
ISSCC
Jinwook Oh, Gyeonghoon Kim, Junyoung Park, Injoon Hong, Seungjin Lee, Hoi-Jun Yoo
2012 — conf
A 86mW 98GOPS ANN-searching processor for Full-HD 30fps video object recognition with zeroless locality-sensitive hashing.
ESSCIRC
Gyeonghoon Kim, Jinwook Oh, 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
2012 — conf
Online Reinforcement Learning NoC for portable HD object recognition processor.
CICC
Junyoung Park, Injoon Hong, Gyeonghoon Kim, Jinwook Oh, Seungjin Lee, Hoi-Jun Yoo
2011 J jnl
A 345 mW Heterogeneous Many-Core Processor With an Intelligent Inference Engine for Robust Object Recognition.
IEEE J. Solid State Circuits
Seungjin Lee, Jinwook Oh, Junyoung Park, Joonsoo Kwon, Minsu Kim, Hoi-Jun Yoo
2011 — conf
A 57mW embedded mixed-mode neuro-fuzzy accelerator for intelligent multi-core processor.
ISSCC
Jinwook Oh, Junyoung Park, Gyeonghoon Kim, Seungjin Lee, Hoi-Jun Yoo
2011 — conf
A 92mW real-time traffic sign recognition system with robust light and dark adaptation.
A-SSCC
Junyoung Park, Joonsoo Kwon, Jinwook Oh, Seungjin Lee, Hoi-Jun Yoo
2011 — conf
An asynchronous mixed-mode neuro-fuzzy controller for energy efficient machine intelligence SoC.
A-SSCC
Jinwook Oh, Gyeonghoon 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 C conf
A 22.4 mW competitive fuzzy edge detection processor for volume rendering.
ISCAS
Joonsoo Kwon, Minsu Kim, Jinwook Oh, Hoi-Jun Yoo
2010 — conf
A 345mW heterogeneous many-core processor with an intelligent inference engine for robust object recognition.
ISSCC
Seungjin Lee, Jinwook Oh, Minsu Kim, Junyoung Park, Joonsoo Kwon, 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 — 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
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 — 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
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