James Laudon
James Laudon is a member of the Google Brain team, whose mission is to develop deep learning technologies and deploy them throughout Google. His research interests focus on hardware and software co-design for high-performance systems and he's currently working on domain-specific computer architectures for machine learning and applying machine learning to system design. Before joining the Brain team in 2017, James was founder and site director for the Google Madison office. Prior to joining Google in 2007 he contributed to the architecture and implementation of multiple computer systems including the Stanford DASH, SGI Origin 2000, and Sun UltraSPARC T1. James has a B.S. in Electrical Engineering from the University of Wisconsin – Madison and a M.S. and Ph.D. in Electrical Engineering from Stanford University.
Authored Publications
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Google
Apollo: Transferable Architecture Exploration
Albin Jones
Ravi Narayanaswami
Sat Chatterjee
ML for Systems Workshop at NeurIPS 2020
Graph Transformer: A Generalized Method for Computation Graph Optimizations
Amirali Abdolrashidi
Azalia Mirhoseini
Daniel Wong
Hanxiao Liu
Mangpo Phothilimthana
Qiumin Xu
Shen Wang
Sudip Roy
(2020)
In-Datacenter Performance Analysis of a Tensor Processing Unit
Norman P. Jouppi
Nishant Patil
Gaurav Agrawal
Raminder Bajwa
Sarah Bates
Suresh Bhatia
Nan Boden
Al Borchers
Rick Boyle
Pierre-luc Cantin
Clifford Chao
Chris Clark
Jeremy Coriell
Mike Daley
Matt Dau
Ben Gelb
Tara Vazir Ghaemmaghami
Rajendra Gottipati
William Gulland
Robert Hagmann
C. Richard Ho
Doug Hogberg
John Hu
Dan Hurt
Julian Ibarz
Aaron Jaffey
Alek Jaworski
Alexander Kaplan
Harshit Khaitan
Andy Koch
Naveen Kumar
Steve Lacy
James Law
Diemthu Le
Chris Leary
Zhuyuan Liu
Kyle Lucke
Alan Lundin
Gordon MacKean
Adriana Maggiore
Maire Mahony
Kieran Miller
Rahul Nagarajan
Ravi Narayanaswami
Ray Ni
Kathy Nix
Thomas Norrie
Mark Omernick
Narayana Penukonda
Andy Phelps
Jonathan Ross
ISCA (2017) (to appear)
