My research interests mainly include computer architecture, data center management and statistical learning.
In data center management, I explore statistical learning approaches for heterogeneous system performance and power modeling and evaluate the impact of system profiling; I use machine learning for efficient resource allocation and scheduling in data center for heterogeneous hardware and contentions.
In processor core microarchitecture, I design processor to have design-time homogeneity and runtime heterogeneity. I am working on improving energy efficiency in fine granularity by fast switching execution modes based on application behavior.
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