Is container-based technology a winner for high performance scientific applications? - Theodora Adufu; Jieun Choi; 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)

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

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

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

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

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