Autonomous Warehouse-Scale Computers. - Sundar Dev; David Lo 003; Liqun Cheng; Parthasarathy Ranganathan (DAC, 2020)

Sage: practical and scalable ML-driven performance debugging in microservices. - Yu Gan 002; Mingyu Liang; Sundar Dev; David Lo 003; Christina Delimitrou (ASPLOS, 2021)

Sage: Using Unsupervised Learning for Scalable Performance Debugging in Microservices. - Yu Gan 002; Mingyu Liang; Sundar Dev; David Lo 003; Christina Delimitrou (CoRR, 2021)

Sage: Leveraging ML to Diagnose Unpredictable Performance in Cloud Microservices. - Yu Gan 002; Mingyu Liang; Sundar Dev; David Lo 003; Christina Delimitrou (CoRR, 2021)

Practical and Scalable ML-Driven Cloud Performance Debugging With Sage. - Yu Gan 002; Mingyu Liang; Sundar Dev; David Lo 003; Christina Delimitrou (IEEE Micro, 2022)

Enabling Practical Cloud Performance Debugging with Unsupervised Learning. - Yu Gan 002; Mingyu Liang; Sundar Dev; David Lo 003; Christina Delimitrou (ACM SIGOPS Oper. Syst. Rev., 2022)

The Importance of Generalizability in Machine Learning for Systems. - Varun Gohil; Sundar Dev; Gaurang Upasani; David Lo 003; Parthasarathy Ranganathan; Christina Delimitrou (IEEE Comput. Archit. Lett., 2024)