Anna D Goldie

Many thanks to my co-first author @Azaliamirh and co-authors @mnyazgan, @joesmemory, @ESonghori, @ShenWangURC, @xylophi, @efjohnson, @pathomkar, @Azade_na, @PakJiwoo, Andy Tong, @kavyasrinivas23, @willhang_, @emretuncer, @quocleix, @JamesLaudon, @rh00, Roger Carpenter, @JeffDean!

This project was a collaboration between Google Brain and the TPU team, and I’m so grateful to have had the opportunity to learn from such talented chip designers, including @mnyazgan, @xylophi, @pathomkar, @PakJiwoo, Andy Tong, @kavyasrinivas23, @emretuncer, @rh00, and @rogercar

And I feel so lucky to work with such brilliant colleagues in Google Brain, including @joesmemory, @ESonghori, and @ShenWangURC, who made major contributions on the ML and software side!

I am also so grateful to @JeffDean for all of his help over the last few years! He was a cofounder on this project, and his kindness, support, and technical mentorship has meant everything to me!

And I feel so lucky to work so closely with my brilliant co-lead @Azaliamirh! Together I really do feel that we can accomplish anything, and it’s such a pleasure to work with my best friend every day, celebrating the good times and laughing together through the bad!

Thanks to everyone who helped with the manuscript, including @marcgbellemare, and the @Nature editors and reviewers who helped us to greatly improve the quality of the paper!

I’m very excited about the future of chip design and to see where the ML and hardware design communities take this next!