Xiao Liu is a Ph.D. candidate at UC San Diego. He is generally interested in problems in the areas of computer architecture and systems. His current research concerns reliability support for memory hierarchy, in-memory machine learning acceleration, persistent memory system design, and fault tolerance in the storage system of data centers.
Persistent Memory Workload Characterization: A Hardware Perspective
Binary Star: Coordinated Reliability in Heterogeneous Memory Systems for High Performance and Scalability
Transitioning Scientific Applications to using Non-Volatile Memory for Resilience