M.S. Degree (Feb. 2021)
Master's thesis
gShare: Framework to Enable GPU Memory Sharing for Deep Learning Workloads in Containers
Interests: Fog/edge computing and GPU virtualization
Homepage: https://munq-lee.github.io
Interests: GPU resource management
Interests: GPU resource management
B.S. Degree (Feb. 2025)
Research assistant (2023 - 2025)
Research topic: GPU resource management
Current affiliation: M.S. student at KAIST
Research assistant (2023 - 2024)
Research topic: GPU resource management
M.S. Degree (Feb. 2024)
Thesis
MIGrein : reinforcement learning-based multi-instance GPU scheduling for DNN inference workloads
Current affiliation: Ph.D. student at Sungkyunkwan University
M.S. Degree (Feb. 2023)
Thesis
Real-Time GPU Scheduling for Deep Learning Workload in Container Environments
B.S. Degree (Feb. 2022)
Research assistant (2021 - 2022)
Research topic: Federated learning and IoT
Current affiliation: Ph.D. student at Carnegie Mellon University
M.S. Degree (Feb. 2022)
Thesis
ScissionLite: A Framework to Accelerate Distributed Deep Neural Network Inference for IIoT
Current affiliation: Ph.D. student at Ohio State University
B.S. Degree (Feb. 2022)
Research assistant (2020 - 2021)
Current affiliation: Samsung Electronics (System LSI)
B.S. Degree (Feb. 2021)
Research assistant (2020)
Current affiliation: Samsung Electronics