Our lab conducts research on diverse areas related to high-performance data processing and analysis. Major research areas include the following.
♦ (Current Focus) High-Performance Computing for AI/ML
- High-performance computing for large AI/ML models
- High-performance platform for on-device AI/ML
- Hybrid of Classical/Quantum Computing
High-Performance Computing in Big Facilities
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- Optimizing scientific workflows and network transfer job scheduling in R&E networks such as ESnet/Internet2/KREONET.
- Optimizing system components holistically for high-speed data transfer.
- Parallel job scheduling especially focusing on time-critical jobs combined with bach jobs.
Cloud Computing for Big Data
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- Container-based Hyper-Converged Infrastructure.
- Dynamic resource provisioning for streaming data.
- Flexbile and fast storage management system for SSD/NVRM.
IoT Data Analytics
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- Time-series data prediction using Deep Learning.
- Light-weight Deep Learning for edge computing/devices.
- Flexible IoT datapath management using SDN.