A novel evolutionary algorithm for bi-clustering of gene expression data based on the Order Preserving Sub-Matrix (OPSM) constraint. - Hongchan Roh; Sanghyun Park 003 (BIBE, 2008)

An Efficient Hash Index Structure for Solid State Disks. - Hongchan Roh; Sanghyun Park 003 (IKE, 2008)

A B-Tree index extension to enhance response time and the life cycle of flash memory. - Hongchan Roh; Woo-Cheol Kim; Seung-Woo Kim; Sanghyun Park 003 (Inf. Sci., 2009)

Yet another write-optimized DBMS layer for flash-based solid state storage. - Hongchan Roh; Daewook Lee; Sanghyun Park 003 (CIKM, 2010)

B+-tree Index Optimization by Exploiting Internal Parallelism of Flash-based Solid State Drives. - Hongchan Roh; Sanghyun Park 003; Sungho Kim; Mincheol Shin; Sang-Won Lee 001 (Proc. VLDB Endow., 2011)

MPSearch: Multi-Path Search for Tree-based Indexes to Exploit Internal Parallelism of Flash SSDs. - Hongchan Roh; Sanghyun Park 003; Mincheol Shin; Sang-Won Lee 001 (IEEE Data Eng. Bull., 2014)

AS B-tree: A Study of an Efficient B+-tree for SSDs. - Hongchan Roh; Sungho Kim; Daewook Lee; Sanghyun Park 003 (J. Inf. Sci. Eng., 2014)

Inverted index maintenance strategy for flashSSDs: Revitalization of in-place index update strategy. - Wonmook Jung; Hongchan Roh; Mincheol Shin; Sanghyun Park 003 (Inf. Syst., 2015)

BulkAligner: A novel sequence alignment algorithm based on graph theory and Trinity. - Junsu Lee; Yunku Yeu; Hongchan Roh; Youngmi Yoon; Sanghyun Park 003 (Inf. Sci., 2015)

Optimizing hash partitioning for solid state drives. - Mincheol Shin; Hongchan Roh; Wonmook Jung; Sanghyun Park 003 (SAC, 2016)

External Mergesort for Flash-Based Solid State Drives. - Joonhee Lee; Hongchan Roh; Sanghyun Park 003 (IEEE Trans. Computers, 2016)

Advanced Block Nested Loop Join for Extending SSD Lifetime. - Hongchan Roh; Mincheol Shin; Wonmook Jung; Sanghyun Park 003 (IEEE Trans. Knowl. Data Eng., 2017)

Efficient Multi-GPU Memory Management for Deep Learning Acceleration. - Youngrang Kim; Jaehwan Lee 001; Jik-Soo Kim; Hyunseung Jei; Hongchan Roh (FAS*W@SASO/ICAC, 2018)

An Empirical Performance Analysis on Hadoop via Optimizing the Network Heartbeat Period. - Jaehwan Lee 001; June Choi; Hongchan Roh; Ji Sun Shin (KSII Trans. Internet Inf. Syst., 2018)

Selective I/O Bypass and Load Balancing Method for Write-Through SSD Caching in Big Data Analytics. - Jaehyung Kim; Hongchan Roh; Sanghyun Park 003 (IEEE Trans. Computers, 2018)

MV-FTL: An FTL That Provides Page-Level Multi-Version Management. - Doogie Lee; Mincheol Shin; Won Gi Choi; Hongchan Roh; Sanghyun Park 003 (IEEE Trans. Knowl. Data Eng., 2018)

LESS: Logging Exploiting SnapShot. - Hanseung Sung; Minhwa Jin; Mincheol Shin; Hongchan Roh; Won Gi Choi; Sanghyun Park 003 (BigComp, 2019)

Efficient Large-Scale Deep Learning Framework for Heterogeneous Multi-GPU Cluster. - Youngrang Kim; Hyeonseong Choi; Jaehwan Lee 001; Jik-Soo Kim; Hyunseung Jei; Hongchan Roh (FAS*W@SASO/ICAC, 2019)

Comprehensive techniques of multi-GPU memory optimization for deep learning acceleration. - Youngrang Kim; Jaehwan Lee 001; Jik-Soo Kim; Hyunseung Jei; Hongchan Roh (Clust. Comput., 2020)

Towards an optimized distributed deep learning framework for a heterogeneous multi-GPU cluster. - Youngrang Kim; Hyeonseong Choi; Jaehwan Lee 001; Jik-Soo Kim; Hyunseung Jei; Hongchan Roh (Clust. Comput., 2020)

ARMemNet: autoregressive memory networks for multivariate time series forecasting. - Jinuk Park; Chanhee Park; Hongchan Roh; Sanghyun Park 003 (SAC, 2021)

OurRocks: Offloading Disk Scan Directly to GPU in Write-Optimized Database System. - Won Gi Choi; Doyoung Kim; Hongchan Roh; Sanghyun Park 003 (IEEE Trans. Computers, 2021)

ES4D: Accelerating Exact Similarity Search for High-Dimensional Vectors via Vector Slicing and In-SSD Computation. - Juhwan Kim; Jongseon Seo; Jonghyeok Park; Sang-Won Lee 001; Hongchan Roh; Hyungmin Cho (ICCD, 2022)

System Optimization of Data Analytics Platforms using Compute Express Link (CXL) Memory. - Seokhyun Ryu; Sohyun Kim; Jaeyung Jun; Donguk Moon; Kyungsoo Lee; Jungmin Choi; Sunwoong Kim; Hyungsoo Kim; Luke Kim; Won Ha Choi; Moohyeon Nam; Dooyoung Hwang; et al. (BigComp, 2023)