Arvind Krishnamurthy | Paul G. Allen School of Computer Science & Engineering (original) (raw)

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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.

Recent research:

• Programmable networks (e.g., iPipe, IncBricks, FlexNIC, FlexSwitch, Approx. Fair Queueing, Gimbal)
• High-performance networking (e.g., CC-NIC, HCC,TAS)
• Distributed systems for the datacenter (e.g., Xenic, Meerkat, SpecPaxos, Tapir)
• Systems for machine learning (e.g., TVM, Nexus, SwitchML, TVM Optimizer,Networks for ML, Punica).