We build systems infrastructure at the intersection of parallel computing and AI — spanning high-performance I/O, parallel file sytems, GPU kernel optimization, LLM optmization, and agentic memory systems.
Parallel I/O & Storage — High-performance data pipelines; storage consistency semantics; parallel file systems; I/O for large-scale HPC and AI workloads.
AI Systems & GPU Optimization — Efficient training and inference infrastructure; kernel optimization; memory and compute scheduling.
Agentic AI Systems — Systems support for multi-agent workflows; orchestration; efficient memory operations.
If you are excited about systems research at the intersection of HPC and AI, we'd love to hear from you. We also advise the NTU Student Cluster Competition team. This is an undergraduate-only competition—if you’re interested in participating, please feel free to reach out.
- PI: Chen Wang