NYNET Communication System (NCS): A Multithreaded Message Passing Tool over ATM Network. - Sung-Yong Park; Salim Hariri; Yoonhee Kim; J. Stuart Harris; Rajesh Yadav (HPDC, 1996)

The Software Architecture of a Virtual Distributed Computing Environment. - Haluk Topcuoglu; Salim Hariri; Wojtek Furmanski; Jon Valente; Ilkyeun Ra; Dongmin Kim; Yoonhee Kim; Xue Bing; Baoqing Ye (HPDC, 1997)

A framework for end-to-end proactive network management. - Salim Hariri; Yoonhee Kim; K. Varshney; R. Kaminski; D. Hague; C. Maciag (NOMS, 1998)

ExNet: An Intelligent Network Management System. - Yoonhee Kim; Salim Hariri (WebNet, 1998)

The design and evaluation of a virtual distributed computing environment. - Haluk Topcuoglu; Salim Hariri; Dongmin Kim; Yoonhee Kim; Xue Bing; Baoqing Ye; Ilkyeun Ra; Jon Valente (Clust. Comput., 1998)

Evaluation of PAMS' Adaptive Management Services. - Yoonhee Kim; Salim Hariri; Muhamad Djunaedi (Heterogeneous Computing Workshop, 2000)

Design and analysis of a proactive application management system (PAMS). - Salim Hariri; Yoonhee Kim (NOMS, 2000)

Adaptive Virtual Protocol Stacks for Intrusion Detection Applications. - David D. McGann; Yoonhee Kim; Roy Czernikowski; James E. Heliotis (PDCS, 2001)

Adaptive Application-Centric Management in Meta-computing Environments. - Yoonhee Kim; Sung-Yong Park (EurAsia-ICT, 2002)

Design and Implementation of Application-Level Multicasting Services over ATM Networks. - Sung-Yong Park; Jihoon Yang; Yoonhee Kim (EurAsia-ICT, 2002)

ADViCE over Grid Services: Initial Deployment. - Yoonhee Kim; Ilkyeun Ra; Sung-Yong Park; Byoung Uk Kim; Salim Hariri; Bithika Khargharia; Sangsan Lee (CLADE, 2003)

A Grid-Enabled Adaptive Problem Solving Environment. - Yoonhee Kim; Ilkyeun Ra; Salim Hariri; Yangwoo Kim (European Across Grids Conference, 2004)

An NAT-Based Communication Relay Scheme for Private-IP-Enabled MPI over Grid Environments. - Siyoul Choi; Kumrye Park; Saeyoung Han; Sungyong Park; Oh-Young Kwon; Yoonhee Kim; Hyoung-Woo Park (International Conference on Computational Science, 2004)

A Grid-Enabled Workflow PSE for Computational Applications. - Yoonhee Kim (PDCAT, 2004)

An evaluation of autonomic self-configuration in network centric systems. - Byoung Uk Kim; Ilkyeun Ra; Yoonhee Kim; Salim Hariri; Huoping Chen; Bithika Khargharia; Ming Zhang; Hyoung-Woo Park (Parallel and Distributed Computing and Networks, 2004)

CEGA: A Workflow PSE for Computational Applications. - Yoonhee Kim (International Conference on Computational Science (3), 2005)

Ontology Based Software Reconfiguration in a Ubiquitous Computing Environment. - Yoonhee Kim; Eun-Kyung Kim; Jeuyoung Kim; Eunhye Song; In-Young Ko (CIT, 2006)

Wapee: A Fault-Tolerant Semantic Middleware in Ubiquitous Computing Environments. - Yoonhee Kim; Eun-Kyung Kim; Beom-Jun Jeon; In-Young Ko; Sung-Yong Park (EUC Workshops, 2006)

A Grid Web Portal for Aerospace. - Sang Boem Lim; Joobum Kim; Nam Gyu Kim; June H. Lee; Chongam Kim; Yoonhee Kim (GCA, 2006)

e-AIRS: An e-Science Collaboration Portal for Aerospace Applications. - Yoonhee Kim; Eun-Kyung Kim; Jeuyoung Kim; Junghyun Cho; Chongam Kim; Kum Won Cho (HPCC, 2006)

Autonomic Service Reconfiguration in a Ubiquitous Computing Environment. - Yoonhee Kim; Eun-Kyung Kim (ISPA, 2006)

Use of e-AIRS computing service on CFD education and research. - Jin-Ho Kim; Soon-Heum Ko; Chongam Kim; Yoonhee Kim; Kum Won Cho (CLADE, 2008)

A Cyber Environment for Engineering Cyber Education. - Jongbae Moon; Kum Won Cho; Soon-Heum Ko; Jin-Ho Kim; Chongam Kim; Yoonhee Kim (eScience, 2008)

CFD Cyber Education Service Using Cyberinfrastructure for e-Science. - Jongbae Moon; Chongam Kim; Yoonhee Kim; Kum Won Cho (NCM (2), 2008)

Adaptive Grid Resource Selection Based on Job History Analysis Using Plackett-Burman Designs. - Cinyoung Hur; Yoonhee Kim (APNOMS, 2009)

An Ontology-Based Resource Selection Service on Science Cloud. - Hyunjeong Yoo; Cinyoung Hur; Seoyoung Kim 001; Yoonhee Kim (FGIT-GDC, 2009)

Web-Based Integrated Research Environment for Aerodynamic Analyses and Design. - Jae Wan Ahn; Jin-Ho Kim; Chongam Kim; Junghyun Cho; Cinyoung Hur; Yoonhee Kim; Sang-hyun Kang; Byungsoo Kim 002; Jongbae Moon; Kum Won Cho (Future Application and Middleware Technology on e-Science, 2010)

'STEPS': walking on the music, moving with light breathing. - Yoonjung Hong; Jaesung Jo; Yoonhee Kim; Tek-Jin Nam (CHI Extended Abstracts, 2010)

On Evaluating JARS: Job history-based Adaptive grid resource selection. - Cinyoung Hur; Yoonhee Kim (NOMS, 2010)

Supporting an interactive scientific workflow in aerodynamics analysis over e-Science environment. - Seoyoung Kim 001; Kyoung-a Yoon; Hyejeong Kang; Yoonhee Kim; Chongam Kim (APNOMS, 2011)

A Science Cloud Resource Provisioning Model Using Statistical Analysis of Job History. - Seoyoung Kim 001; Jung-In Koh; Yoonhee Kim; Chongam Kim (DASC, 2011)

A scientific workflow supported environment over hybrid infrastructure for aerodynamics design. - Seoyoung Kim 001; Hyejeong Kang; Yoonhee Kim (APNOMS, 2012)

Application-specific Cloud Provisioning Model Using Job Profiles Analysis. - Seoyoung Kim 001; Yoonhee Kim (HPCC-ICESS, 2012)

A reliable contents distribution middleware system for peer-to-peer networks. - Yoonhee Kim; Sanghyun Ahn (ICOIN, 2012)

A SLA driven VM auto-scaling method in hybrid cloud environment. - Hyejeong Kang; Jung-In Koh; Yoonhee Kim; Jaegyoon Hahm (APNOMS, 2013)

An allocation and provisioning model of science cloud for high throughput computing applications. - Seoyoung Kim 001; Jik-Soo Kim; Soonwook Hwang; Yoonhee Kim (CAC, 2013)

Auto-scaling method in hybrid cloud for scientific applications. - Younsun Ahn; Jieun Choi; Sol Jeong; Yoonhee Kim (APNOMS, 2014)

Auto-scaling of virtual resources for scientific workflows on hybrid clouds. - Younsun Ahn; Yoonhee Kim (ScienceCloud@HPDC, 2014)

VM Auto-Scaling for Workflows in Hybrid Cloud Computing. - Younsun Ahn; Yoonhee Kim (ICCAC, 2014)

Towards effective science cloud provisioning for a large-scale high-throughput computing. - Seoyoung Kim 001; Jik-Soo Kim; Soonwook Hwang; Yoonhee Kim (Clust. Comput., 2014)

Integrated Management of Network Virtualization: A Report on APNOMS 2013. - Kazuhiko Kinoshita; Makoto Takano; Young-Woo Lee; Sanwei Sun; Toshio Tonouchi; Yoonhee Kim; Teh-Sheng Huang (J. Netw. Syst. Manag., 2014)

Is container-based technology a winner for high performance scientific applications? - Theodora Adufu; Jieun Choi; Yoonhee Kim (APNOMS, 2015)

Semantic resource classification using statistical analysis for application characteristics in intercloud environment. - Younsun Ahn; Yoonhee Kim (APNOMS, 2015)

A Job Dispatch Optimization Method on Cluster and Cloud for Large-Scale High-Throughput Computing Service. - Jieun Choi; Seoyoung Kim 001; Theodora Adufu; Soonwook Hwang; Yoonhee Kim (ICCAC, 2015)

VM auto-scaling methods for high throughput computing on hybrid infrastructure. - Jieun Choi; Younsun Ahn; Seoyoung Kim 001; Yoonhee Kim; Jaeyoung Choi (Clust. Comput., 2015)

A SLA-based Spark cluster scaling method in cloud environment. - Yoori Oh; Jieun Choi; Eunjung Song; Moonji Kim; Yoonhee Kim (APNOMS, 2016)

An Adaptive Resource Provisioning Method Using Job History Learning Technique in Hybrid Infrastructure. - Jieun Choi; Yoonhee Kim (FAS*W@SASO/ICCAC, 2016)

Adaptive application-aware job scheduling optimization strategy in heterogeneous infrastructures. - Seoyoung Kim 001; Jieun Choi; Yoonhee Kim (Clust. Comput., 2016)

iSDF: An integrated software-defined computing framework for scientific experiments. - Seoyoung Kim 001; Julim Ahn; Heewon Kim; Yoonhee Kim; Jieun Choi (APNOMS, 2017)

A Hybrid Cloud Resource Clustering Method Using Analysis of Application Characteristics. - Yoori Oh; Yoonhee Kim (FAS*W@SASO/ICCAC, 2017)

Adaptive resource provisioning method using application-aware machine learning based on job history in heterogeneous infrastructures. - Jieun Choi; Yoonhee Kim (Clust. Comput., 2017)

Data-Locality Aware Scientific Workflow Scheduling Methods in HPC Cloud Environments. - Jieun Choi; Theodora Adufu; Yoonhee Kim (Int. J. Parallel Program., 2017)

An adaptive data placement strategy in scientific workflows over cloud computing environments. - Heewon Kim; Yoonhee Kim (NOMS, 2018)

Realizing services and slices across multiple operator domains. - Ishan Vaishnavi; János Czentye; Molka Gharbaoui; Giovanni Giuliani; Dávid Haja; János Harmatos; Dávid Jocha; Yoonhee Kim; Barbara Martini; Javier Melian; Paolo Monti 001; Balázs Németh 001; et al. (NOMS, 2018)

Toward an Adaptive Fair GPU Sharing Scheme in Container-Based Clusters. - Jisun Oh; Seoyoung Kim 001; Yoonhee Kim (FAS*W@SASO/ICAC, 2018)

Mitigating Interference between Scientific Applications in OS-Level Virtualized Environments. - Theodora Adufu; Yoonhee Kim (Sci. Program., 2018)

Data Provenance for Experiment Management of Scientific Applications on GPU. - Sejin Kim; Jisun Oh; Yoonhee Kim (APNOMS, 2019)

Overcoming GPU Memory Capacity Limitations in Hybrid MPI Implementations of CFD. - Jake Choi; Yoonhee Kim; Heon Young Yeom (IDCS, 2019)

Profiling Dynamic Data Access Patterns with Bounded Overhead and Accuracy. - Seongjae Park; Yunjae Lee; Yoonhee Kim; Heon Y. Yeom (FAS*W@SASO/ICAC, 2019)

Design and implementation of skiplist-based key-value store on non-volatile memory. - Qichen Chen; Hyojeong Lee; Yoonhee Kim; Heon Young Yeom; Yongseok Son (Clust. Comput., 2019)

A resource recommendation method based on dynamic cluster analysis of application characteristics. - Yoori Oh; Yoonhee Kim (Clust. Comput., 2019)

Toward Interference-aware GPU Container Co-scheduling Learning from Application Profiles. - Sejin Kim; Yoonhee Kim (ACSOS Companion, 2020)

Exploiting Interference-aware GPU Container Concurrency Learning from Resource Usage of Application Execution. - Sejin Kim; Yoonhee Kim (APNOMS, 2020)

Co-scheML: Interference-aware Container Co-scheduling Scheme Using Machine Learning Application Profiles for GPU Clusters. - Sejin Kim; Yoonhee Kim (CLUSTER, 2020)

Design of an adaptive GPU sharing and scheduling scheme in container-based cluster. - Qichen Chen; Jisun Oh; Seoyoung Kim 001; Yoonhee Kim (Clust. Comput., 2020)

AutoBahn: a concurrency control framework for non-volatile file buffer. - Hyeongwon Jang; Sang Youp Rhee; Jae Eun Kim; Yoonhee Kim; Hyuck Han; Sooyong Kang; Hyungsoo Jung 001 (Clust. Comput., 2020)

Lightweight memory tracing for hot data identification. - Yunjae Lee; Yoonhee Kim; Heon Y. Yeom (Clust. Comput., 2020)

Job placement using reinforcement learning in GPU virtualization environment. - Jisun Oh; Yoonhee Kim (Clust. Comput., 2020)

SoftDC: software-based dynamically connected transport. - Jiwoong Park; Yongseok Son; Heon Young Yeom; Yoonhee Kim (Clust. Comput., 2020)

A Non-Intrusive Speech Intelligibility Estimation Method Based on Deep Learning Using Autoencoder Features. - Yoonhee Kim; Deokgyu Yun; Hannah Lee; Seung Ho Choi (IEICE Trans. Inf. Syst., 2020)

Highly Reproducible Surface-Enhanced Raman Scattering Detection of Alternariol Using Silver-Embedded Silica Nanoparticles. - Eunil Hahm; Yoonhee Kim; Xuan-Hung Pham; Bong-Hyun Jun (Sensors, 2020)

Implementing CUDA Unified Memory in the PyTorch Framework. - Jake Choi; Heon Young Yeom; Yoonhee Kim (ACSOS-C, 2021)

Clustering-Guided Incremental Learning of Tasks. - Yoonhee Kim; Eunwoo Kim (ICOIN, 2021)

smCompactor: a workload-aware fine-grained resource management framework for GPGPUs. - Qichen Chen; Hyerin Chung; Yongseok Son; Yoonhee Kim; Heon Young Yeom (SAC, 2021)

Comparing unified, pinned, and host/device memory allocations for memory-intensive workloads on Tegra SoC. - Jake Choi; Hojun You; Chongam Kim; Heon Young Yeom; Yoonhee Kim (Concurr. Comput. Pract. Exp., 2021)

Empirical Performance Evaluation of Communication Libraries for Multi-GPU based Distributed Deep Learning in a Container Environment. - Hyeonseong Choi; Youngrang Kim; Jaehwan Lee 001; Yoonhee Kim (KSII Trans. Internet Inf. Syst., 2021)

Optimization of Matrix-Matrix Multiplication Algorithm for Matrix-Panel Multiplication on Intel KNL. - Muhammad Rizwan; Enoch Jung; Yoosang Park; Jaeyoung Choi; Yoonhee Kim (AICCSA, 2022)

K-Scheduler: dynamic intra-SM multitasking management with execution profiles on GPUs. - Sejin Kim; Yoonhee Kim (Clust. Comput., 2022)

Optimizing Performance Using GPU Cache Data Residency Based on Application's Access Patterns. - Theodora Adufu; Yoonhee Kim (APNOMS, 2023)

Design of linux based transactional NAND flash memory file system. - Jongmo Hwang; Seockho Jang; Yoonhee Kim (BCD, 2023)

L2 Cache Access Pattern Analysis using Static Profiling of an Application. - Theodora Adufu; Yoonhee Kim (COMPSAC, 2023)

Analyzing Data Locality on GPU Caches Using Static Profiling of Workloads. - Jieun Kim; Hyeonsang Eom; Yoonhee Kim (IEEE Access, 2023)

Improving Oversubscribed GPU Memory Performance in the PyTorch Framework. - Jake Choi; Heon Young Yeom; Yoonhee Kim (Clust. Comput., 2023)

Interference-aware execution framework with Co-scheML on GPU clusters. - Sejin Kim; Yoonhee Kim (Clust. Comput., 2023)

Exploring the Diversity of Multiple Job Deployments over GPUs for Efficient Resource Sharing. - Theodora Adufu; Jiwon Ha; Yoonhee Kim (ICOIN, 2024)

Application-aware Resource Sharing using Software and Hardware Partitioning on Modern GPUs. - Theodora Adufu; Jiwon Ha; Yoonhee Kim (NOMS, 2024)

Body Gesture Generation for Multimodal Conversational Agents. - Sunwoo Kim; Minwook Chang; Yoonhee Kim; Jehee Lee (SIGGRAPH Asia, 2024)

Dyna-P: placement-aware dynamic partitioning for lightweight applications with modern GPUs. - Theodora Adufu; Yoonhee Kim (Clust. Comput., 2025)

Oltunes: Online learning-based auto-tuning system for DL inference in heterogeneous GPU cluster. - Seoyoung Kim; Jiwon Ha; Yoonhee Kim (Clust. Comput., 2025)