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Research Statement

The Institute of Parallel and Distributed Systems (IPADS) conducts foundational research across all aspects of computer systems, integrating traditional core disciplines—Operating Systems, Distributed Systems, and Database Systems—with critical interdisciplinary co-design in Computer Architecture, Languages & Compilers, and Artificial Intelligence. Our overarching vision is to define the future of computing by achieving maximum performance scalability, energy efficiency, and high-assurance dependability for centralized and highly distributed platforms. This technological leadership is underscored by multiple premier awards in systems research, including Best/Distinguished Paper Awards from the top conferences (e.g., SOSP, ASPLOS, EuroSys), Test of Time Award (e.g., DSN), recognition from Research Highlights (e.g., CACM and SIGMOD), steady fruitful publications in renowned conferences (e.g., SOSP, OSDI, ISCA, ASPLOS, MICRO, HPCA, EuroSys, ATC, USENIX Security, SIGMOD, VLDB, NeurIPS), alongside open-source systems (e.g., OpenHarmony, openEuler, RISC-V, PowerInfer, Linux).

Our strategic research portfolio balances perfecting silicon-based systems with pioneering approaches for modern, intelligent workloads. We utilize hardware/software co-design to address fundamental system challenges, including architecting dependable and hardened hypervisors with minimized Trusted Computing Bases (TCBs) for secure cloud environments, and developing next-generation persistent computing solutions by leveraging emerging hardware like NVM, RDMA, and XPU. Our interdisciplinary focus now heavily emphasizes Machine Learning Systems (MLSys), where we pioneer systems software and architecture for high-speed AI training/inference, embodied intelligence, and resilient GPU computing, ensuring system-level support for emerging intelligent applications. We also focus on leveraging machine learning to design high-performance and reliable distributed systems, Model-native Operating Systems, and AI-native laboratories for molecular systems.

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