Stanford University


June 21, 2018

AI is all about low-energy hardware says Dally

For nVidia chief scientist and Stanford professor Bill Dally, now is a great time to be involved in hardware design, thanks to the rise of AI.
Article  |  Topics: Blog - EDA, Embedded  |  Tags: , , , , , ,   |  Organizations: ,
June 8, 2016

Minimize memory moves for greener data centers

Deep pipelines and dynamic memory sharing may provide the key to the development of faster and more efficient server-farm blades as the focus in hardware design moves to augmenting conventional processors with specialized accelerators.
March 12, 2013

EDA sets sail in a ‘sea of processors’

The purchase of Tensilica by Cadence Design Systems could prove the way that EDA and multicore-based system design come together.

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