ANIL KUMAR YELAM
About me
I currently work on the NetInfra team at Google, where I help build/optimize the network infrastructure 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 OS and networking infrastructure. My Ph.D. research focused on building efficient user-level paging systems that unlock 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 (Seattle, 2014-18)
Contact
Email me at ayelam at ucsd dot edu.