Sundar Dev

Orcid: 0000-0002-5795-3502

According to our database¹, Sundar Dev authored at least 7 papers between 2020 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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PhD thesis

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On csauthors.net:

Bibliography

2024

The Importance of Generalizability in Machine Learning for Systems.

[BibT_eX]

[DOI]

Parthasarathy Ranganathan

Christina Delimitrou

IEEE Comput. Archit. Lett., 2024

2022

Enabling Practical Cloud Performance Debugging with Unsupervised Learning.

[BibT_eX]

[DOI]

ACM SIGOPS Oper. Syst. Rev., 2022

Practical and Scalable ML-Driven Cloud Performance Debugging With Sage.

[BibT_eX]

[DOI]

IEEE Micro, 2022

2021

Sage: Leveraging ML to Diagnose Unpredictable Performance in Cloud Microservices.

[BibT_eX]

[DOI]

CoRR, 2021

Sage: Using Unsupervised Learning for Scalable Performance Debugging in Microservices.

[BibT_eX]

[DOI]

CoRR, 2021

Sage: practical and scalable ML-driven performance debugging in microservices.

[BibT_eX]

[DOI]

Proceedings of the ASPLOS '21: 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2021

2020

Autonomous Warehouse-Scale Computers.

[BibT_eX]

[DOI]

Sundar Dev

David Lo

Liqun Cheng

Parthasarathy Ranganathan

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

Sundar Dev

Timeline

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On csauthors.net:

Bibliography

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