ANIL KUMAR YELAM
About me
I currently work on the NetInfra team at Google, where I help build network transports for GPU cloud. Previously, I received my Ph.D. from UC San Diego, where I was advised by Prof. Alex Snoeren. My research interests broadly lie in improving efficiency of modern data center operating systems and networking stacks. My Ph.D. research focused on building efficient user-level paging systems that enable application-specific optimizations for Far memory. A decade earlier, I was at IIT Kharagpur, where I graduated (with the Institute silver medal) in Computer Science and Engineering.
Towards Flexible, Application-Guided Paging for Far Memory [ pdf ]
Ph.D. dissertation.
Eden: Developer-Friendly Application-Integrated Far Memory [ pdf | code ]
Anil Yelam, Stewart Grant, Saarth Deshpande, Nadav Amit, Radhika Niranjan Mysore, Amy Ousterhout, Marcos K. Aguilera, and Alex C. Snoeren
NSDI '25 (to appear)
Limited Access: The Truth Behind Far Memory [ pdf | code ]
Anil Yelam*, Stewart Grant*, Enze Liu, Radhika Niranjan Mysore, Marcos K. Aguilera, Amy Ousterhout, and Alex C. Snoeren
WORDS '23
Memory disaggregation: why now and what are the challenges [ pdf ]
Marcos K. Aguilera, Emmanuel Amaro, Nadav Amit, Erika Hunhoff, Anil Yelam, Gerd Zellweger
ACM SIGOPS Operating Systems Review, Volume 57
CoResident Evil: Covert Communication In The Cloud With Lambdas [ pdf | code ]
Anil Yelam, Shibani Subbareddy, Keerthana Ganesan, Stefan Savage and Ariana Mirian
SmartNIC Performance Isolation with FairNIC: Programmable Networking for the Cloud [ pdf ]
Stewart Grant*, Anil Yelam*, Maxwell Bland and Alex C. Snoeren
(*Co-first authors)
Other roles
Reviewier, USENIX ATC 2025
Student Researcher, Google SRG (Summer 2023 - 2024)
Research Intern & Collaborator, VMware (Summer 2021 - 2023)
Teaching Assistant, Graduate Distributed Systems (2020) & Datacenter Operating Systems (2022)
Software Engineer, Microsoft Azure (2014-18)
Contact
Email me at ayelam at ucsd dot edu.