cs.washington.edu
Arvind Krishnamurthy is the Short-Dooley Professor in the Paul G. Allen School of Computer Science & Engineering. His research interests are in 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, is a former Vice President of Usenix, and has served on the CRA board.
Recent research:
- Programmable networks (e.g., iPipe, IncBricks, FlexNIC, FlexSwitch, Approx. Fair Queueing, Gimbal)
- Distributed systems for the datacenter (e.g., Xenic, SpecPaxos, Tapir)
- Systems for machine learning (e.g., TVM, Nexus, SwitchML, TVM Optimizer, Networks for ML).
