Arvind Krishnamurthy is Short-Dooley Professor in the Paul G. Allen School of Computer Science & Engineering. His research interests span all aspects of building effective and robust computer systems, in the context of both data centers and Internet-scale systems. More recently, his research has focussed on programmable networks and systems for machine learning. He is past program chair of ACM SIGCOMM and Usenix NSDI, serves on their technical steering committees, is the Vice President of Usenix, and serves on the ICSI and CRA boards.
- Programmable networks (e.g., iPipe, IncBricks, FlexNIC, FlexSwitch, Approx. Fair Queueing),
- Distributed systems for the datacenter (e.g., SpecPaxos, Tapir),
- Systems for machine learning (e.g., TVM, Nexus, MCDNN, DNN specialization).