Arjun Singhvi

asinghvi@cs.wisc.edu
I am a Ph.D. student in the Department of Computer Sciences at the University of Wisconsin - Madison. My advisor is Prof. Aditya Akella. I am broadly interested in networks and systems research.

My recent work is in the area of serverless computing, network functions, big data analytics and RDMA.

Research

Conference and Workshop Papers

  • Whiz: Data-Driven Analytics Execution. [pdf]
    Robert Grandl*, Arjun Singhvi*, Raajay Viswanathan, Aditya Akella (* = co-primary authors)
    NSDI 2021
  • SNF: Serverless Network Functions. [pdf]
    Arjun Singhvi, Junaid Khalid, Aditya Akella, Sujata Banerjee
    SoCC 2020
  • 1RMA: Re-envisioning Remote Memory Access for Multi-tenant Datacenters.[pdf]
    Arjun Singhvi, Aditya Akella, Dan Gibson, Thomas F. Wenisch, Monica Wong-Chan, Sean Clark, Milo M. K. Martin, Moray McLaren, Prashant Chandra, Rob Cauble, Hassan M. G. Wassel, Behnam Montazeri, Simon L. Sabato, Joel Scherpelz, Amin Vahdat
    SIGCOMM 2020
  • Themis: Fair and Efficient GPU Cluster Scheduling. [pdf]
    Kshiteej Mahajan, Arjun Balasubramanian, Arjun Singhvi, Shivaram Venkataraman, Aditya Akella, Amar Phanishaye, Shuchi Chawla
    NSDI 2020
  • RoGUE: RDMA over Generic Unconverged Ethernet. [pdf]
    Yanfang Le, Brent Stephens, Arjun Singhvi, Aditya Akella, Michael M. Swift
    SoCC 2018
  • Granular Computing and Network Intensive Applications: Friends or Foes? [pdf]
    Arjun Singhvi, Sujata Banerjee, Yotam Harchol, Aditya Akella, Mark Peek, Pontus Rydin
    HotNets 2017
  • Titan: Fair Packet Scheduling for Commodity Multiqueue NICs. [pdf]
    Brent Stephens, Arjun Singhvi, Aditya Akella, Michael Swift
    ATC 2017
  • Adaptive SLA-based elasticity management algorithms for a virtualized IP multimedia subsystem. [pdf]
    Hani Nemati, Arjun Singhvi, Nadjia Kara, May El Barachi
    IEEE GLOBECOM Workshops 2014