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 an ACM fellow, a past program chair of ACM SIGCOMM and Usenix NSDI and 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).