Arvind Krishnamurthy is the Short-Dooley Professor in the Paul G. Allen School of Computer Science & Engineering and a fellow of the ACM. 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.

Here are some pointers to recent research:

• Programmable networks (iPipe,  IncBrick, FlexNIC, FlexSwitch, Approx. Fair Queueing, Gimbal)

• High-performance networking (CC-NIC, HCC, TAS)

• Distributed systems for the datacenter (Xenic, Meerkat, SpecPaxos, Tapir)

• Systems for machine learning (TVM, Nexus, SwitchML, TVM Optimizer, Networks for ML, Punica)