Efficient Resource Sharing in Concurrent Error Detecting Superscalar Microarchitectures. - Jared C. Smolens; Jangwoo Kim; James C. Hoe; Babak Falsafi (MICRO, 2004)

Memory coherence activity prediction in commercial workloads. - Stephen Somogyi; Thomas F. Wenisch; Nikolaos Hardavellas; Jangwoo Kim; Anastassia Ailamaki; Babak Falsafi (WMPI, 2004)

Fingerprinting: Bounding Soft-Error-Detection Latency and Bandwidth. - Jared C. Smolens; Brian T. Gold; Jangwoo Kim; Babak Falsafi; James C. Hoe; Andreas Nowatzyk (IEEE Micro, 2004)

SimFlex: a fast, accurate, flexible full-system simulation framework for performance evaluation of server architecture. - Nikolaos Hardavellas; Stephen Somogyi; Thomas F. Wenisch; Roland E. Wunderlich; Shelley Chen; Jangwoo Kim; Babak Falsafi; James C. Hoe; Andreas Nowatzyk (SIGMETRICS Perform. Evaluation Rev., 2004)

Store-Ordered Streaming of Shared Memory. - Thomas F. Wenisch; Stephen Somogyi; Nikolaos Hardavellas; Jangwoo Kim; Chris Gniady; Anastassia Ailamaki; Babak Falsafi (IEEE PACT, 2005)

Temporal Streaming of Shared Memory. - Thomas F. Wenisch; Stephen Somogyi; Nikolaos Hardavellas; Jangwoo Kim; Anastassia Ailamaki; Babak Falsafi (ISCA, 2005)

TRUSS: A Reliable, Scalable Server Architecture. - Brian T. Gold; Jangwoo Kim; Jared C. Smolens; Eric S. Chung; Vasileios Liaskovitis; Eriko Nurvitadhi; Babak Falsafi; James C. Hoe; Andreas Nowatzyk (IEEE Micro, 2005)

Multi-bit Error Tolerant Caches Using Two-Dimensional Error Coding. - Jangwoo Kim; Nikos Hardavellas; Ken Mai; Babak Falsafi; James C. Hoe (MICRO, 2007)

PAI: A Lightweight Mechanism for Single-Node Memory Recovery in DSM Servers. - Jangwoo Kim; Jared C. Smolens; Babak Falsafi; James C. Hoe (PRDC, 2007)

Building Fast, Dense, Low-Power Caches Using Erasure-Based Inline Multi-bit ECC. - Jangwoo Kim; Hyunggyun Yang; Mark P. McCartney; Mudit Bhargava; Ken Mai; Babak Falsafi (PRDC, 2013)

Guide-copy: fast and silent migration of virtual machine for datacenters. - Jihun Kim 002; Dongju Chae; Jangwoo Kim; Jong Kim 001 (SC, 2013)

CMcloud: Cloud Platform for Cost-Effective Offloading of Mobile Applications. - Dongju Chae; Jihun Kim 002; Jangwoo Kim; Jong Kim 001; Seungjun Yang; Yeongpil Cho; Yongin Kwon; Yunheung Paek (CCGRID, 2014)

GPUdmm: A high-performance and memory-oblivious GPU architecture using dynamic memory management. - Youngsok Kim; Jaewon Lee; Jae-Eon Jo; Jangwoo Kim (HPCA, 2014)

RpStacks: Fast and Accurate Processor Design Space Exploration Using Representative Stall-Event Stacks. - Jaewon Lee; Hanhwi Jang; Jangwoo Kim (MICRO, 2014)

Microbank: Architecting Through-Silicon Interposer-Based Main Memory Systems. - Young Hoon Son; Seongil O; Hyunggyun Yang; Daejin Jung; Jung Ho Ahn; John Kim 001; Jangwoo Kim; Jae W. Lee (SC, 2014)

Stealing Webpages Rendered on Your Browser by Exploiting GPU Vulnerabilities. - Sangho Lee 001; Youngsok Kim; Jangwoo Kim; Jong Kim 001 (IEEE Symposium on Security and Privacy, 2014)

ScaleGPU: GPU Architecture for Memory-Unaware GPU Programming. - Youngsok Kim; Jaewon Lee; Donggyu Kim; Jangwoo Kim (IEEE Comput. Archit. Lett., 2014)

A fully associative, tagless DRAM cache. - Yongjun Lee; Jongwon Kim; Hakbeom Jang; Hyunggyun Yang; Jangwoo Kim; Jinkyu Jeong; Jae W. Lee (ISCA, 2015)

DCS: a fast and scalable device-centric server architecture. - Jaehyung Ahn; Dongup Kwon; Youngsok Kim; Mohammadamin Ajdari; Jaewon Lee; Jangwoo Kim (MICRO, 2015)

CloudSwap: A Cloud-Assisted Swap Mechanism for Mobile Devices. - Dongju Chae; Joonsung Kim; Youngsok Kim; Jangwoo Kim; Kyung-Ah Chang; Sang-Bum Suh; Hyogun Lee (CCGrid, 2016)

DTStorage: Dynamic Tape-Based Storage for Cost-Effective and Highly-Available Streaming Service. - Jaewon Lee; Jaehyung Ahn; Choongul Park; Jangwoo Kim (CCGrid, 2016)

Efficient footprint caching for Tagless DRAM Caches. - Hakbeom Jang; Yongjun Lee; Jongwon Kim; Youngsok Kim; Jangwoo Kim; Jinkyu Jeong; Jae W. Lee (HPCA, 2016)

StressRight: Finding the right stress for accurate in-development system evaluation. - Jaewon Lee; Hanhwi Jang; Jae-Eon Jo; Gyu-hyeon Lee; Jangwoo Kim (ISPASS, 2017)

GPUpd: a fast and scalable multi-GPU architecture using cooperative projection and distribution. - Youngsok Kim; Jae-Eon Jo; Hanhwi Jang; Minsoo Rhu; Hanjun Kim 001; Jangwoo Kim (MICRO, 2017)

WSMeter: A Performance Evaluation Methodology for Google's Production Warehouse-Scale Computers. - Jaewon Lee; Changkyu Kim; Kun Lin; Liqun Cheng; Rama Govindaraju; Jangwoo Kim (ASPLOS, 2018)

DCS-ctrl: A Fast and Flexible Device-Control Mechanism for Device-Centric Server Architecture. - Dongup Kwon; Jaehyung Ahn; Dongju Chae; Mohammadamin Ajdari; Jaewon Lee; Suheon Bae; Youngsok Kim; Jangwoo Kim (ISCA, 2018)

Flexon: A Flexible Digital Neuron for Efficient Spiking Neural Network Simulations. - Dayeol Lee; Gwangmu Lee; Dongup Kwon; Sunghwa Lee; Youngsok Kim; Jangwoo Kim (ISCA, 2018)

RpStacks-MT: A High-Throughput Design Evaluation Methodology for Multi-Core Processors. - Hanhwi Jang; Jae-Eon Jo; Jaewon Lee; Jangwoo Kim (MICRO, 2018)

SSDcheck: Timely and Accurate Prediction of Irregular Behaviors in Black-Box SSDs. - Joonsung Kim; Pyeongsu Park; Jaehyung Ahn; Jihun Kim 002; Jong Kim 001; Jangwoo Kim (MICRO, 2018)

DynaMix: Dynamic Mobile Device Integration for Efficient Cross-device Resource Sharing. - Dongju Chae; Joonsung Kim; Gwangmu Lee; Hanjun Kim 001; Kyung-Ah Chang; Hyogun Lee; Jangwoo Kim (USENIX ATC, 2018)

A Scalable HW-Based Inline Deduplication for SSD Arrays. - Mohammadamin Ajdari; Pyeongsu Park; Dongup Kwon; Joonsung Kim; Jangwoo Kim (IEEE Comput. Archit. Lett., 2018)

SSD Performance Modeling Using Bottleneck Analysis. - Jihun Kim 002; Joonsung Kim; Pyeongsu Park; Jong Kim 001; Jangwoo Kim (IEEE Comput. Archit. Lett., 2018)

DiagSim: Systematically Diagnosing Simulators for Healthy Simulations. - Jae-Eon Jo; Gyu-hyeon Lee; Hanhwi Jang; Jaewon Lee; Mohammadamin Ajdari; Jangwoo Kim (ACM Trans. Archit. Code Optim., 2018)

Enforcing Last-Level Cache Partitioning through Memory Virtual Channels. - Jongwook Chung; Yuhwan Ro; Joonsung Kim; Jaehyung Ahn; Jangwoo Kim; John Kim 001; Jae W. Lee; Jung Ho Ahn (PACT, 2019)

μLayer: Low Latency On-Device Inference Using Cooperative Single-Layer Acceleration and Processor-Friendly Quantization. - Youngsok Kim; Joonsung Kim; Dongju Chae; Daehyun Kim 003; Jangwoo Kim (EuroSys, 2019)

CIDR: A Cost-Effective In-Line Data Reduction System for Terabit-Per-Second Scale SSD Arrays. - Mohammadamin Ajdari; Pyeongsu Park; Joonsung Kim; Dongup Kwon; Jangwoo Kim (HPCA, 2019)

MnnFast: a fast and scalable system architecture for memory-augmented neural networks. - Hanhwi Jang; Joonsung Kim; Jae-Eon Jo; Jaewon Lee; Jangwoo Kim (ISCA, 2019)

Cryogenic computer architecture modeling with memory-side case studies. - Gyu-hyeon Lee; Dongmoon Min; Ilkwon Byun; Jangwoo Kim (ISCA, 2019)

FIDR: A Scalable Storage System for Fine-Grain Inline Data Reduction with Efficient Memory Handling. - Mohammadamin Ajdari; Wonsik Lee; Pyeongsu Park; Joonsung Kim; Jangwoo Kim (MICRO, 2019)

FlexLearn: Fast and Highly Efficient Brain Simulations Using Flexible On-Chip Learning. - Eunjin Baek; Hunjun Lee; Youngsok Kim; Jangwoo Kim (MICRO, 2019)

CryoCache: A Fast, Large, and Cost-Effective Cache Architecture for Cryogenic Computing. - Dongmoon Min; Ilkwon Byun; Gyu-hyeon Lee; Seongmin Na; Jangwoo Kim (ASPLOS, 2020)

Scalable Multi-FPGA Acceleration for Large RNNs with Full Parallelism Levels. - Dongup Kwon; Suyeon Hur; Hamin Jang; Eriko Nurvitadhi; Jangwoo Kim (DAC, 2020)

A Multi-Neural Network Acceleration Architecture. - Eunjin Baek; Dongup Kwon; Jangwoo Kim (ISCA, 2020)

CryoCore: A Fast and Dense Processor Architecture for Cryogenic Computing. - Ilkwon Byun; Dongmoon Min; Gyu-hyeon Lee; Seongmin Na; Jangwoo Kim (ISCA, 2020)

SuperNPU: An Extremely Fast Neural Processing Unit Using Superconducting Logic Devices. - Koki Ishida; Ilkwon Byun; Ikki Nagaoka; Kosuke Fukumitsu; Masamitsu Tanaka; Satoshi Kawakami; Teruo Tanimoto; Takatsugu Ono; Jangwoo Kim; Koji Inoue (MICRO, 2020)

TrainBox: An Extreme-Scale Neural Network Training Server Architecture by Systematically Balancing Operations. - Pyeongsu Park; Heetaek Jeong; Jangwoo Kim (MICRO, 2020)

FVM: FPGA-assisted Virtual Device Emulation for Fast, Scalable, and Flexible Storage Virtualization. - Dongup Kwon; Junehyuk Boo; Dongryeong Kim; Jangwoo Kim (OSDI, 2020)

NLP-Fast: A Fast, Scalable, and Flexible System to Accelerate Large-Scale Heterogeneous NLP Models. - Joonsung Kim; Suyeon Hur; Eunbok Lee; Seungho Lee; Jangwoo Kim (PACT, 2021)

NeuroEngine: a hardware-based event-driven simulation system for advanced brain-inspired computing. - Hunjun Lee; Chanmyeong Kim; Yujin Chung; Jangwoo Kim (ASPLOS, 2021)

CryoGuard: A Near Refresh-Free Robust DRAM Design for Cryogenic Computing. - Gyu-hyeon Lee; Seongmin Na; Ilkwon Byun; Dongmoon Min; Jangwoo Kim (ISCA, 2021)

UC-Check: Characterizing Micro-operation Caches in x86 Processors and Implications in Security and Performance. - Joonsung Kim; Hamin Jang; Hunjun Lee; Seungho Lee; Jangwoo Kim (MICRO, 2021)

DifuzzRTL: Differential Fuzz Testing to Find CPU Bugs. - Jaewon Hur; Suhwan Song; Dongup Kwon; Eunjin Baek; Jangwoo Kim; Byoungyoung Lee (SP, 2021)

A Fast and Flexible Hardware-based Virtualization Mechanism for Computational Storage Devices. - Dongup Kwon; Dongryeong Kim; Junehyuk Boo; Wonsik Lee; Jangwoo Kim (USENIX ATC, 2021)

An accurate and fair evaluation methodology for SNN-based inferencing with full-stack hardware design space explorations. - Hunjun Lee; Chanmyeong Kim; Seungho Lee; Eunjin Baek; Jangwoo Kim (Neurocomputing, 2021)

A Next-Generation Cryogenic Processor Architecture. - Ilkwon Byun; Dongmoon Min; Gyu-hyeon Lee; Seongmin Na; Jangwoo Kim (IEEE Micro, 2021)

Superconductor Computing for Neural Networks. - Koki Ishida; Ilkwon Byun; Ikki Nagaoka; Kosuke Fukumitsu; Masamitsu Tanaka; Satoshi Kawakami; Teruo Tanimoto; Takatsugu Ono; Jangwoo Kim; Koji Inoue (IEEE Micro, 2021)

Performance Modeling and Practical Use Cases for Black-Box SSDs. - Joonsung Kim; Kanghyun Choi; Wonsik Lee; Jangwoo Kim (ACM Trans. Storage, 2021)

CryoWire: wire-driven microarchitecture designs for cryogenic computing. - Dongmoon Min; Yujin Chung; Ilkwon Byun; Junpyo Kim; Jangwoo Kim (ASPLOS, 2022)

NeuroSync: A Scalable and Accurate Brain Simulator Using Safe and Efficient Speculation. - Hunjun Lee; Chanmyeong Kim; Minseop Kim; Yujin Chung; Jangwoo Kim (HPCA, 2022)

XQsim: modeling cross-technology control processors for 10+K qubit quantum computers. - Ilkwon Byun; Junpyo Kim; Dongmoon Min; Ikki Nagaoka; Kosuke Fukumitsu; Iori Ishikawa; Teruo Tanimoto; Masamitsu Tanaka; Koji Inoue; Jangwoo Kim (ISCA, 2022)

3D-FPIM: An Extreme Energy-Efficient DNN Acceleration System Using 3D NAND Flash-Based In-Situ PIM Unit. - Hunjun Lee; Minseop Kim; Dongmoon Min; Joonsung Kim; Jongwon Back; Honam Yoo; Jong-Ho Lee 002; Jangwoo Kim (MICRO, 2022)

LSim: Fine-Grained Simulation Framework for Large-Scale Performance Evaluation. - Hamin Jang; Taehun Kang; Joonsung Kim; Jaeyong Cho; Jae-Eon Jo; Seungwook Lee; Wooseok Chang; Jangwoo Kim; Hanhwi Jang (IEEE Comput. Archit. Lett., 2022)

SmartFVM: A Fast, Flexible, and Scalable Hardware-based Virtualization for Commodity Storage Devices. - Dongup Kwon; Wonsik Lee; Dongryeong Kim; Junehyuk Boo; Jangwoo Kim (ACM Trans. Storage, 2022)

DLS: A Fast and Flexible Neural Network Training System With Fine-grained Heterogeneous Device Orchestration. - Pyeongsu Park; Jaewoon Lee; Heetaek Jeong; Jangwoo Kim (IEEE Trans. Parallel Distributed Syst., 2022)

F4T: A Fast and Flexible FPGA-based Full-stack TCP Acceleration Framework. - Junehyuk Boo; Yujin Chung; Eunjin Baek; Seongmin Na; Changsu Kim 004; Jangwoo Kim (ISCA, 2023)

QIsim: Architecting 10+K Qubit QC Interfaces Toward Quantum Supremacy. - Dongmoon Min; Junpyo Kim; Junhyuk Choi; Ilkwon Byun; Masamitsu Tanaka; Koji Inoue; Jangwoo Kim (ISCA, 2023)

Fast, Light-weight, and Accurate Performance Evaluation using Representative Datacenter Behaviors. - Jaewon Lee; Dongmoon Min; Ilkwon Byun; Hanhwi Jang; Jangwoo Kim (Middleware, 2023)

A Fast and Flexible FPGA-based Accelerator for Natural Language Processing Neural Networks. - Suyeon Hur; Seongmin Na; Dongup Kwon; Joonsung Kim; Andrew Boutros; Eriko Nurvitadhi; Jangwoo Kim (ACM Trans. Archit. Code Optim., 2023)

STfusion: Fast and Flexible Multi-NN Execution Using Spatio-Temporal Block Fusion and Memory Management. - Eunjin Baek; Eunbok Lee; Taehun Kang; Jangwoo Kim (IEEE Trans. Computers, 2023)

A Fault-Tolerant Million Qubit-Scale Distributed Quantum Computer. - Junpyo Kim; Dongmoon Min; Jungmin Cho; Hyeonseong Jeong; Ilkwon Byun; Junhyuk Choi; Juwon Hong; Jangwoo Kim (ASPLOS (2), 2024)

SuperCore: An Ultra-Fast Superconducting Processor for Cryogenic Applications. - Junhyuk Choi; Ilkwon Byun; Juwon Hong; Dongmoon Min; Junpyo Kim; Jungmin Cho; Hyeonseong Jeong; Masamitsu Tanaka; Koji Inoue; Jangwoo Kim (MICRO, 2024)

Rearchitecting a Neuromorphic Processor for Spike-Driven Brain-Computer Interfacing. - Hunjun Lee; Yeongwoo Jang; Daye Jung; Seunghyun Song; Jangwoo Kim (MICRO, 2024)

CoolDC: A Cost-Effective Immersion-Cooled Datacenter with Workload-Aware Temperature Scaling. - Dongmoon Min; Ilkwon Byun; Gyu-hyeon Lee; Jangwoo Kim (ACM Trans. Archit. Code Optim., 2024)

Panel Discussions: "Sustainable AI: Emerging Architectures, Devices, and Quantum Computing Towards Future Computing". - Tohru Ishihara; Jangwoo Kim; Kazutoshi Kobayashi; Jose Martinez (COOL CHIPS, 2025)

InfiniMind: A Learning-Optimized Large-Scale Brain-Computer Interface. - Yeongwoo Jang; Daye Jung; Seunghyun Song; Hunjun Lee; Jangwoo Kim (ISCA, 2025)