Sundar Dev

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 7

Top Topics

Unsupervised Learning

Maximum Likelihood

Highly Scalable

Top Venues

IEEE Comput. Archit. Lett.

ACM SIGOPS Oper. Syst. Rev.

Publications

Varun Gohil, Sundar Dev, Gaurang Upasani, David Lo, Parthasarathy Ranganathan, Christina Delimitrou
The Importance of Generalizability in Machine Learning for Systems. IEEE Comput. Archit. Lett. 23 (1) (2024)
Yu Gan, Mingyu Liang, Sundar Dev, David Lo, Christina Delimitrou
Enabling Practical Cloud Performance Debugging with Unsupervised Learning. ACM SIGOPS Oper. Syst. Rev. 56 (1) (2022)
Yu Gan, Mingyu Liang, Sundar Dev, David Lo, Christina Delimitrou
Practical and Scalable ML-Driven Cloud Performance Debugging With Sage. IEEE Micro 42 (4) (2022)
Yu Gan, Mingyu Liang, Sundar Dev, David Lo, Christina Delimitrou
Sage: practical and scalable ML-driven performance debugging in microservices. ASPLOS (2021)
Yu Gan, Mingyu Liang, Sundar Dev, David Lo, Christina Delimitrou
Sage: Using Unsupervised Learning for Scalable Performance Debugging in Microservices. CoRR (2021)
Yu Gan, Mingyu Liang, Sundar Dev, David Lo, Christina Delimitrou
Sage: Leveraging ML to Diagnose Unpredictable Performance in Cloud Microservices. CoRR (2021)
Sundar Dev, David Lo, Liqun Cheng, Parthasarathy Ranganathan
Autonomous Warehouse-Scale Computers. DAC (2020)