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  • Scopus

Baek, Woongki (백웅기)

Department
Department of Computer Science and Engineering(컴퓨터공학과)
Website
https://sites.google.com/site/woongkibaek/
Lab
Intelligent System Software Lab. (지능형 시스템 소프트웨어 연구실)
Research Keywords
시스템 소프트웨어, 기계학습, 시스템 보안, 병렬 컴퓨팅, 분산 컴퓨팅, System Software, Machine Learning, ML-augmented system software, scalable parallel and distributed computing, computer systems security
Research Interests
Intelligent System Software Lab (ISSL) investigates innovative system software techniques that significantly improve the performance, efficiency, security, and reliability of computer systems. ISSL takes a vertically integrated research approach to maximize the synergistic effects across the entire computer system hierarchy including computer architecture, system software, runtimes, and applications. Currently, ISSL focuses on the following research projects – (1) system software for high-performance and efficient machine learning, (2) machine learning-augmented system software, (3) scalable and efficient parallel and distributed computing, and (4) computer systems security.
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Issue DateTitleAuthor(s)TypeViewAltmetrics
2021-05Design and Implementation of a Criticality- and Heterogeneity-Aware Runtime System for Task-Parallel ApplicationsHan, Myeonggyun; Park, Jinsu; Baek, WoongkiARTICLE77 Design and Implementation of a Criticality- and Heterogeneity-Aware Runtime System for Task-Parallel Applications
2020-09SDRP: Safe, Efficient, and SLO-Aware Workload Consolidation through Secure and Dynamic Resource PartitioningHan, Myeonggyun; Baek, WoongkiARTICLE106 SDRP: Safe, Efficient, and SLO-Aware Workload Consolidation through Secure and Dynamic Resource Partitioning
2020-03Hotness- and Lifetime-Aware Data Placement and Migration for High-Performance Deep Learning on Heterogeneous Memory SystemsHan, Myeonggyun; Hyun, Jihoon; Park, Seongbeom, et alARTICLE195 Hotness- and Lifetime-Aware Data Placement and Migration for High-Performance Deep Learning on Heterogeneous Memory Systems
2019-05Analyzing and optimizing the performance and energy efficiency of transactional scientific applications on large-scale NUMA systems with HTM supportPark, Jinsu; Baek, WoongkiARTICLE870 Analyzing and optimizing the performance and energy efficiency of transactional scientific applications on large-scale NUMA systems with HTM support
2019-03Improving the Performance and Energy Efficiency of GPGPU Computing through Integrated Adaptive Cache ManagementKim, Kyu Yeun; Park, Jinsu; Baek, WoongkiARTICLE428 Improving the Performance and Energy Efficiency of GPGPU Computing through Integrated Adaptive Cache Management
2019-01Holistic VM Placement for Distributed Parallel Applications in Heterogeneous ClustersKim, Seontae; Pham, Nguyen; Baek, Woongki, et alARTICLE392 Holistic VM Placement for Distributed Parallel Applications in Heterogeneous Clusters
2016-06Quantifying the performance and energy efficiency of advanced cache indexing for GPGPU computingKim, Kyu Yeun; Baek, WoongkiARTICLE834 Quantifying the performance and energy efficiency of advanced cache indexing for GPGPU computing
2015-02NVRAM Persistency 모델에 따른 In-Memory Key-Value 스토어 구현에 관한 서베이Kim, Wookhee; Baek, Woongki; Nam, BeomseokARTICLE1450

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