Is container-based technology a winner for high performance scientific applications? T Adufu, J Choi, Y Kim 2015 17th Asia-Pacific Network Operations and Management Symposium (APNOMS …, 2015 | 84 | 2015 |
Data-locality aware scientific workflow scheduling methods in HPC cloud environments J Choi, T Adufu, Y Kim International Journal of Parallel Programming 45, 1128-1141, 2017 | 27 | 2017 |
A job dispatch optimization method on cluster and cloud for large-scale high-throughput computing service J Choi, S Kim, T Adufu, S Hwang, Y Kim 2015 International Conference on Cloud and Autonomic Computing, 283-290, 2015 | 9 | 2015 |
Exploring the Diversity of Multiple Job Deployments over GPUs for Efficient Resource Sharing T Adufu, J Ha, Y Kim 2024 International Conference on Information Networking (ICOIN), 777-782, 2024 | 2 | 2024 |
L2 Cache Access Pattern Analysis using Static Profiling of an Application T Adufu, Y Kim 2023 IEEE 47th Annual Computers, Software, and Applications Conference …, 2023 | 2 | 2023 |
Dynamic Memory Allocation for Scientific Workflows in Containers T Adufu, J Choi, Y Kim 정보과학회논문지 44 (5), 439-448, 2017 | 2 | 2017 |
Application-aware Resource Sharing using Software and Hardware Partitioning on Modern GPUs T Adufu, J Ha, Y Kim NOMS 2024-2024 IEEE Network Operations and Management Symposium, 1-8, 2024 | 1 | 2024 |
Optimizing Performance Using GPU Cache Data Residency Based on Application’s Access Patterns T Adufu, Y Kim 2023 24st Asia-Pacific Network Operations and Management Symposium (APNOMS …, 2023 | | 2023 |
Empirical Experiments for Convolution Layer Optimization on Multi-GPUs J Ha, T Adufu, Y Kim Annual Conference of KIPS, 11-12, 2023 | | 2023 |
Mitigating Interference between Scientific Applications in OS‐Level Virtualized Environments T Adufu, Y Kim Scientific Programming 2018 (1), 7548527, 2018 | | 2018 |
A Reconfiguration-based Memory Allocation Method for Scientific Workflows in Containers T Adufu, J Choi, Y Kim 한국정보과학회 학술발표논문집, 75-77, 2016 | | 2016 |
GPU 에서 애플리케이션의 데이터 액세스 패턴 프로파일링 T Adufu, Y Kim | | |
GPU 데이터 캐시 접근 패턴 방법에 따른 성능 변화분석 T Adufu, Y Kim 분할 NFT 기술에 대한 연구와 활용 방안 분석, 30, 0 | | |