19 May '16, 1pm

Google's TPU Hit a Tight Sked | EE Times

Google's TPU Hit a Tight Sked | EE Times

SAN JOSE, Calif. — Google’s new processors for accelerating machine learning were built under a tight schedule, said Norm Jouppi, a veteran chip designer and distinguished hardware engineer who led the effort. “I joined Google 2.5 years ago, and there were already some efforts underway…The emphasis was on getting something out quickly,” said Jouppi in an interview with EE Times. A decision was made about three years ago to make a custom chip to accelerate Google’s machine learning algorithms. Jeff Dean, a top Google software engineer, helped drive the project in its early days. The chips, called tensor processing units (TPUs) after the Google TensorFlow algorithm they accelerate, have been running for more than a year in Google’s data centers. “The sked was pretty challenging, the team did really well on that—a short schedule can help focus you, it answers a lot of questio...

Full article: http://www.eetimes.com/document.asp?doc_id=1329722

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