Munkyu Lee Ph.D. candidate in Chung-Ang university

Introduction

Hello and welcome to my website! I’m Munkyu Lee, a dedicated researcher in computer systems, operating systems, and virtualization technologies. My academic and practical experience has given me a deep understanding of these evolving fields. This site is a comprehensive digital repository of my research, offering valuable insights for fellow researchers, students, and computing enthusiasts.

My primary focus is on enhancing the performance and efficiency of computer systems and operating systems, with a keen interest in the potential of GPU virtualization technology. Here, you’ll also find a blog where I share my thoughts on the latest trends and future directions in computer science, emphasizing the importance of collaboration and knowledge sharing.

If you’re interested in my work, potential collaborations, or just want to exchange ideas, feel free to contact me at dse112 at cau.ac.kr. I’m open to engaging discussions and welcome new perspectives. Thank you for visiting, and I look forward to exploring the vast possibilities of computer science together.

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Publications

Munkyu Lee, Sihoon Seong, Minki Kang, Jihyuk Lee, Gap-Joo Na, In-Geol Chun, Dimitrios Nikolopoulos and Cheol-Ho Hong, "ParvaGPU: Efficient Spatial GPU Sharing for Large-Scale DNN Inference in Cloud Environments", The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC24), Nov 2024

 –  https://dl.acm.org/doi/abs/10.1109/SC41406.2024.00048

Hyunho Ahn, Munkyu Lee, Sihoon Seong, Gap-Joo Na, In-Geol Chun, Blesson Varghese, and Cheol-Ho Hong, "ScissionLite: Accelerating Distributed Deep Learning with Lightweight Data Compression for IIoT", IEEE Transactions on Industrial Informatics, Oct 2024 (JCR 2023 IF: 11.7, Top: 1.8%)

 –  https://doi.org/10.1109/TII.2024.3413340

Munkyu Lee, Hyunho Ahn, Cheol-Ho Hong, and Dimitrios S. Nikolopoulos, "gShare: A Centralized GPU Memory Management Framework to Enable GPU Memory Sharing for Containers", Future Generation Computer Systems, May 2022 (JCR 2020 IF: 7.187, Top: 6.3%)

 –  https://doi.org/10.1016/j.future.2021.12.016