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 and serves on their technical steering committees, is the Vice President of Usenix, and serves on the ICSI and CRA boards.
Recent research:
- 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).
