About Me

Sudhanva Gurumurthi is a Fellow at AMD, where he leads advanced development in Reliability, Availability, and Serviceability (RAS). His responsibilities include leading the pathfinding of new features and its technology transfer into the company roadmap, leading the definition of new technologies and capabilities in industry consortiums, and providing guidance on emerging technologies and use cases to R&D teams.

He previously served as the technical lead for RAS in AMD Research and as a Senior Data Center Engineer in the Cloud Innovation Lab at IBM. Prior to joining industry, Sudhanva was an Associate Professor with tenure in the Computer Science Department at the University of Virginia, during which time he also served as a RAS consultant to Intel.

He is a recipient of an NSF CAREER Award, a Google Focused Research Award, an IEEE Computer Society Distinguished Contributor recognition, and several other NSF and industry awards and recognitions. His research and papers have been highlighted and referenced in the media (e.g., Slashdot, StorageMojo) and highlighted in an NSF budget request to Congress.

Sudhanva regularly serves on the program and organizing committees of major computer architecture conferences. He has served as an editor for IEEE Micro Top Picks from Computer Architecture Conferences Special Issue, IEEE Transactions on Computers, and IEEE Computer Architecture Letters. He currently serves on the Industry Advisory Board of the Computer Science Department and on the Dean's Advisory Council of the College of Science and Engineering at Texas State University.

Sudhanva received his PhD in Computer Science and Engineering from Penn State in 2005. He is a Senior Member of the IEEE and the ACM.

Curriculum Vitae

Click Here for my CV (Last Updated: November 2022)


Selected Recent Publications

For a complete list of my publications and patents, please see my CV, DBLP, or Google Scholar.


[IRPS 2022] M. Beigi, S. Gurumurthi, V. Sridharan, Reliability, Availability, and Serviceability Challenges for Heterogeneous System Design, IEEE International Reliability Physics Symposium, March 2022. (Invited Paper)

[CAL 2021] S. Gurumurthi, K. Lee, M. Jang, V. Sridharan, A. Nygren, Y. Ryu, K. Sohn, T. Kim, and H. Chung, HBM3 RAS: Enhancing Resilience at Scale, IEEE Computer Architecture Letters, 20(2), pages 158-161, October 2021. [Lightning Talk]

[MICRO 2021] K.A. Zubair, S. Gurumurthi, V. Sridharan, and A. Awad, Soteria: Towards Resilient Integrity-Protected and Encrypted Non-Volatile Memories, IEEE/ACM International Symposium on Microarchitecture, October 2021.

[HPDC 2019] T. Doudali, S. Blagodurov, A. Vishnu, S. Gurumurthi, A. Gavrilovska, Kleio: A Hybrid Memory Page Scheduler with Machine Intelligence, International Symposium on High-Performance Parallel and Distributed Computing, Phoenix, AZ, June 2019. (Best Paper Nominee)


SELECTED Professional Service

For a complete list of my professional service activities, please see my CV.

Advisory Boards

[College of Science and Engineering, Texas State University], Dean's Advisory Council, 2022-

[CS Department, Texas State University] Industry Advisory Board, 2019-

Conference and Journal Leadership Roles

[IEEE Transactions on Computers] Associate Editor (RAS), 2022

[IEEE Micro Top Picks] Selection Committee Co-Chair and Guest Editor, 2022

[ICPP] Program Co-Chair, Architecture Track, 2020

[SELSE] Program Co-Chair, 2015-2016

[HPCA Industry Track] Program Chair, 2015

[IEEE Computer Architecture Letters] Associate Editor-in-Chief, 2010-2011

Recent Conference Service

[MICRO Test-of-Time Award] Committee Member, 2022-2025

[ISCA 2023] Industry Track PC

[HPCA 2023] Industry Track PC + Main Track ERC

[ISCA 2022] ERC

Contact me

Email: gsudhanva {at} gmail.com


Connect with me


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