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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      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)
      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)
      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
      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)