Our Research
Our research goal is to advance the state of the art in emerging large-scale system platforms by making them more efficient, responsive, intelligent, and programmable. Our current research topics lie in the following areas:
Systems and AI: We build systems support for improving machine learning frameworks and prediction-serving systems, as well as leverage machine learning in producing intelligent system software.
Bigdata analytics: We build data processing pipelines for real-time big data analytics at cloud/IoT scale that enable system operators to promptly troubleshoot system anomalies, improving the performance and reliability of their services.
Systems for new HW: We produce substantially better system software in the face of the recent explosion of hardware features and heterogeneity, such as accelerators and processor/memory tailored to improve efficiency, density, and performance predictability.