Research Topics & Groups

The laboratory research covers across all the major layers of modern computing systems, ranging from compilers and programming systems, to real-time/embedded systems, operating systems and runtimes, high-performance and cloud computing, computer architecture and storage. The lab focuses on innovations that can effectively remove barriers for sustained improvements of high performance extreme-scale computing, data-intensive computing, software reliability, real-time responsiveness, energy efficiency and other critical aspects of computing. More is shown through the following links:


Distributed Systems Research Group on Autonomy, ResilieNce, Collaboration, and Energy (led by Xiaohui Gu)
Keywords: Distributed Systems, System Reliability, Cloud Computing, Networking

Programming Systems and Intelligent Computing for Future (led by Xipeng Shen)
Keywords: Compiler, Machine Learning, Data Analytics, HPC, GPU, Runtime, Parallel Computing, Memory Systems

Research Projects by Frank Mueller
Keywords: HPC/Cloud Computing, Parallel/Distributed Computing; Embedded/Real-Time Systems, Cyber-Physical Systems; Compiler Optimizations, Runtime Systems; Quantum Computing.

Research Projects by Guoliang Jin
Keywords: Software System Reliability, Software Bug Detection and Diagnosis

Research Projects by Xu Liu
Keywords: Software Tools, Parallel Computing, Compiler Techniques, and Systems