A Study of RMON Agent System Based on VxD. - Soon-Choul Kim; Shin-Young Ahn; Hae-Sook Kim (ISAS-SCI (1), 2001)

A Weighted Call Graph Approach for Finding Relevant Components in Source Code. - Shin-Young Ahn; Sungwon Kang; Jongmoon Baik; Ho-Jin Choi (SNPD, 2009)

A workflow for parallel and distributed computing of large-scale genomic data. - Hyun-Hwa Choi; Byoung-Seob Kim; Shin-Young Ahn; Seung-Jo Bae (ICITST, 2013)

Design of distributed memory integration framework(DMIf). - Shin-Young Ahn; Gyu-Il Cha; Young-Ho Kim; Eun-Ji Lim; Seung-Jo Bae; Won-Young Kim (ICOIN, 2016)

Accelerating training of DNN in distributed machine learning system with shared memory. - Eun-Ji Lim; Shin-Young Ahn; Wan Choi 002 (ICTC, 2017)

Design of Cache Backend Using Remote Memory for Network File System. - Eun-Ji Lim; Shin-Young Ahn; Young-Ho Kim; Gyu-Il Cha; Wan Choi 002 (HPCS, 2017)

ShmCaffe: A Distributed Deep Learning Platform with Shared Memory Buffer for HPC Architecture. - Shin-Young Ahn; Joongheon Kim; Eunji Lim; Wan Choi 002; Aziz Mohaisen; Sungwon Kang (ICDCS, 2018)

A novel shared memory framework for distributed deep learning in high-performance computing architecture. - Shin-Young Ahn; Joongheon Kim; Sungwon Kang (ICSE (Companion Volume), 2018)

Distributed Deep Learning Framework based on Shared Memory for Fast Deep Neural Network Training. - Eun-Ji Lim; Shin-Young Ahn; Yoo-Mi Park; Wan Choi 002 (ICTC, 2018)

Soft Memory Box: A Virtual Shared Memory Framework for Fast Deep Neural Network Training in Distributed High Performance Computing. - Shin-Young Ahn; Joongheon Kim; Eunji Lim; Sungwon Kang (IEEE Access, 2018)

DL-dashboard: user-friendly deep learning model development environment. - Yoo-Mi Park; Eun-Ji Lim; Shin-Young Ahn; Wan Choi 002; Taewoo Kim 003 (IUI Companion, 2019)

SoftMemoryBox II: A Scalable, Shared Memory Buffer Framework for Accelerating Distributed Training of Large-Scale Deep Neural Networks. - Shin-Young Ahn; Eunji Lim (IEEE Access, 2020)

Deep Learning Framework using Scalable Shared Memory Buffer Framework. - Eun-Ji Lim; Shin-Young Ahn (ICEIC, 2021)

Device Driver Emulator for Parallel Computing Accelerator Simulator supporting OpenCL. - Eun-Ji Lim; Shin-Young Ahn; Young-Ho Kim; Yoo-Mi Park (ICTC, 2022)

A device driver for the AB21 SoC in Supreme-K system. - Young-Ho Kim; Eunji Lim; Shin-Young Ahn; Yoo-Mi Park (ICTC, 2023)

MPI Allgather Utilizing CXL Shared Memory Pool in Multi-Node Computing Systems. - Hooyoung Ahn; Seonyoung Kim; Yoo-Mi Park; Woojong Han; Shinyoung Ahn; Tu Tran; Bharath Ramesh 005; Hari Subramoni; Dhabaleswar K. Panda 001 (IEEE Big Data, 2024)

Efficient Data-parallel Distributed DNN Training for Big Dataset under Heterogeneous GPU Cluster. - Shinyoung Ahn; Sookwang Lee; Hyeonseong Choi; Jaehyun Lee (IEEE Big Data, 2024)

EDDIS: Accelerating Distributed Data-Parallel DNN Training for Heterogeneous GPU Cluster. - Shinyoung Ahn; Hooyoung Ahn; Hyeonseong Choi; Jaehyun Lee (IPDPS (Workshops), 2024)

OMB-CXL: A Micro-Benchmark Suite for Evaluating MPI Communication Utilizing Compute Express Link Memory Devices. - Tu Tran; Mustafa Abduljabbar; Hooyoung Ahn; Seonyoung Kim; Yoo-Mi Park; Woojong Han; Shin-Young Ahn; Hari Subramoni; Dhabaleswar K. Panda 001 (PEARC, 2024)