Amin Vahdat

Amin Vahdat

Amin Vahdat is an Engineering Fellow and Vice President for the Machine Leaning, Systems, and Cloud AI team. The team is responsible for product and engineering across:
  • Compute (Google Compute Engine, Borg/Cluster Scheduling, Operating Systems and Kernel)
  • Platforms (TPUs, GPUs, Servers, Storage, and Networking)
  • Cloud AI and Core ML (Vertex AI, training, serving, compilers, frameworks)
  • Network Infrastructure (Datacenter, Campus, RPC, and End Host network software)
  • Vahdat is active in Computer Science research, with more than 54,000 citations to over 200 refereed publications across cloud infrastructure, software defined networking, data consistency, operating systems, storage systems, data center architecture, and optical networking.

    In the past, he was the SAIC Professor of Computer Science and Engineering at UC San Diego. Vahdat received his PhD from UC Berkeley in Computer Science. Vahdat is an ACM Fellow and a member of the National Academy of Engineering. He has been recognized with a number of awards, including the National Science Foundation CAREER award, the Alfred P. Sloan Fellowship, the Duke University David and Janet Vaughn Teaching Award, the UC Berkeley Distinguished EECS Alumni Award, and the SIGCOMM Lifetime Achievement Award.

    Authored Publications
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      Google
    Improving Network Availability with Protective ReRoute
    Abdul Kabbani
    Van Jacobson
    Jim Winget
    Brad Morrey
    Uma Parthavi Moravapalle
    Steven Knight
    SIGCOMM 2023
    CAPA: An Architecture For Operating Cluster Networks With High Availability
    Bingzhe Liu
    Mukarram Tariq
    Omid Alipourfard
    Rich Alimi
    Deepak Arulkannan
    Virginia Beauregard
    Patrick Conner
    Brighten Godfrey
    Xander Lin
    Mayur Patel
    Joon Ong
    Amr Sabaa
    Alex Smirnov
    Manish Verma
    Prerepa Viswanadham
    Google, Google, 1600 Amphitheatre Pkwy, Mountain View, CA 94043 (2023)
    Change Management in Physical Network Lifecycle Automation
    Virginia Beauregard
    Kevin Grant
    Angus Griffith
    Jahangir Hasan
    Chen Huang
    Quan Leng
    Jiayao Li
    Alexander Lin
    Zhoutao Liu
    Ahmed Mansy
    Bill Martinusen
    Nikil Mehta
    Andrew Narver
    Anshul Nigham
    Melanie Obenberger
    Sean Smith
    Kurt Steinkraus
    Sheng Sun
    Edward Thiele
    Proc. 2023 USENIX Annual Technical Conference (USENIX ATC 23)
    Jupiter Evolving: Transforming Google's Datacenter Network via Optical Circuit Switches and Software-Defined Networking
    Joon Ong
    Arjun Singh
    Mukarram Tariq
    Rui Wang
    Jianan Zhang
    Virginia Beauregard
    Patrick Conner
    Rishi Kapoor
    Stephen Kratzer
    Nanfang Li
    Hong Liu
    Karthik Nagaraj
    Jason Ornstein
    Samir Sawhney
    Ryohei Urata
    Lorenzo Vicisano
    Kevin Yasumura
    Shidong Zhang
    Junlan Zhou
    Proceedings of ACM SIGCOMM 2022
    Aquila: A unified, low-latency fabric for datacenter networks
    Hema Hariharan
    Eric Lance
    Moray Mclaren
    Stephen Wang
    Zhehua Wu
    Sunghwan Yoo
    Raghuraman Balasubramanian
    Prashant Chandra
    Michael Cutforth
    Peter James Cuy
    David Decotigny
    Rakesh Gautam
    Rick Roy
    Zuowei Shen
    Ming Tan
    Ye Tang
    Monica C Wong-Chan
    Joe Zbiciak
    Aquila: A unified, low-latency fabric for datacenter networks (2022)
    Understanding Host Interconnect Congestion
    Khaled Elmeleegy
    Masoud Moshref
    Rachit Agarwal
    Saksham Agarwal
    Sylvia Ratnasamy
    Association for Computing Machinery, New York, NY, USA (2022), 198–204
    Carbink: Fault-tolerant Far Memory
    Yang Zhou
    Sihang Liu
    Jiaqi Gao
    James Mickens
    Minlan Yu
    Hank Levy
    Proceedings of the 16th USENIX Symposium on Operating Systems Design and Implementation, Usenix (2022)