Amber*: Enabling Precise Full-System Simulation with Detailed Modeling of All SSD Resources. - Donghyun Gouk; Miryeong Kwon; Jie Zhang 048; Sungjoon Koh; Wonil Choi; Nam Sung Kim; Mahmut T. Kandemir; Myoungsoo Jung (MICRO, 2018)

FlashShare: Punching Through Server Storage Stack from Kernel to Firmware for Ultra-Low Latency SSDs. - Jie Zhang 048; Miryeong Kwon; Donghyun Gouk; Sungjoon Koh; Changlim Lee; Mohammad Alian; Myoungjun Chun; Mahmut Taylan Kandemir; Nam Sung Kim; Jihong Kim 001; Myoungsoo Jung (OSDI, 2018)

Enabling Realistic Logical Device Interface and Driver for NVM Express Enabled Full System Simulations. - Donghyun Gouk; Jie Zhang 048; Myoungsoo Jung (Int. J. Parallel Program., 2018)

DC-Store: Eliminating Noisy Neighbor Containers using Deterministic I/O Performance and Resource Isolation. - Miryeong Kwon; Donghyun Gouk; Changrim Lee; Byounggeun Kim; Jooyoung Hwang; Myoungsoo Jung (FAST, 2020)

Platform-Agnostic Lightweight Deep Learning for Garbage Collection Scheduling in SSDs. - Junhyeok Jang; Donghyun Gouk; Jinwoo Shin; Myoungsoo Jung (HotStorage, 2020)

Empirical Guide to Use of Persistent Memory for Large-Scale In-Memory Graph Analysis. - Hanyeoreum Bae; Miryeong Kwon; Donghyun Gouk; Sanghyun Han; Sungjoon Koh; Changrim Lee; Dongchul Park; Myoungsoo Jung (ICCD, 2021)

Revamping Storage Class Memory With Hardware Automated Memory-Over-Storage Solution. - Jie Zhang 048; Miryeong Kwon; Donghyun Gouk; Sungjoon Koh; Nam Sung Kim; Mahmut Taylan Kandemir; Myoungsoo Jung (ISCA, 2021)

Hardware/Software Co-Programmable Framework for Computational SSDs to Accelerate Deep Learning Service on Large-Scale Graphs. - Miryeong Kwon; Donghyun Gouk; Sangwon Lee 014; Myoungsoo Jung (FAST, 2022)

Large-scale Graph Neural Network Services through Computational SSD and In-Storage Processing Architectures. - Miryeong Kwon; Donghyun Gouk; Sangwon Lee 014; Myoungsoo Jung (HCS, 2022)

Direct Access, High-Performance Memory Disaggregation with DirectCXL. - Donghyun Gouk; Sangwon Lee 014; Miryeong Kwon; Myoungsoo Jung (USENIX ATC, 2022)

PreGNN: Hardware Acceleration to Take Preprocessing Off the Critical Path in Graph Neural Networks. - Donghyun Gouk; Seungkwan Kang; Miryeong Kwon; Junhyeok Jang; Hyunkyu Choi; Sangwon Lee 014; Myoungsoo Jung (IEEE Comput. Archit. Lett., 2022)

GraphTensor: Comprehensive GNN-Acceleration Framework for Efficient Parallel Processing of Massive Datasets. - Junhyeok Jang; Miryeong Kwon; Donghyun Gouk; Hanyeoreum Bae; Myoungsoo Jung (IPDPS, 2023)

Intelligent SSD Firmware for Zero-Overhead Journaling. - Hanyeoreum Bae; Donghyun Gouk; Seungjun Lee; Jiseon Kim; Sungjoon Koh; Jie Zhang 048; Myoungsoo Jung (IEEE Comput. Archit. Lett., 2023)

Memory Pooling With CXL. - Donghyun Gouk; Miryeong Kwon; Hanyeoreum Bae; Sangwon Lee 014; Myoungsoo Jung (IEEE Micro, 2023)

Breaking Barriers: Expanding GPU Memory with Sub-Two Digit Nanosecond Latency CXL Controller. - Donghyun Gouk; Seungkwan Kang; Hanyeoreum Bae; Eojin Ryu; Sangwon Lee 014; Dongpyung Kim; Junhyeok Jang; Myoungsoo Jung (HotStorage, 2024)

DockerSSD: Containerized In-Storage Processing and Hardware Acceleration for Computational SSDs. - Donghyun Gouk; Miryeong Kwon; Hanyeoreum Bae; Myoungsoo Jung (HPCA, 2024)

Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation. - Miryeong Kwon; Donghyun Gouk; Eunjee Na; Jiseon Kim; Junhee Kim; Hyein Woo; Eojin Ryu; Hyunkyu Choi; Jinwoo Baek; Hanyeoreum Bae; Mahmut T. Kandemir; Myoungsoo Jung (CoRR, 2025)

CXL-GPU: Pushing GPU Memory Boundaries with the Integration of CXL Technologies. - Donghyun Gouk; Seungkwan Kang; Seungjun Lee; Jiseon Kim; Kyungkuk Nam; Eojin Ryu; Sangwon Lee 014; Dongpyung Kim; Junhyeok Jang; Hanyeoreum Bae; Myoungsoo Jung (CoRR, 2025)

From Block to Byte: Transforming PCIe SSDs with CXL Memory Protocol and Instruction Annotation. - Miryeong Kwon; Donghyun Gouk; Junhyeok Jang; Jinwoo Baek; Hyunwoo You; Sangyoon Ji; Hongjoo Jung; Junseok Moon; Seungkwan Kang; Seungjun Lee; Myoungsoo Jung (CoRR, 2025)