comment on this article

Harvard chooses embedded FPGA for deep learning chip

Prof Gu-Yeon Wei. pic: Stephanie Mitchell/Harvard

A deep learning chip being developed by a research group at Harvard’s School of Engineering and Applied Sciences will feature Flex Logix’s embedded FPGA technology. According to the team – led by Professors David Brooks and Gu-Yeon Wei – the chip design and tape-out have been completed and the project is going into fabrication on TSMC’s 16FFC process.

“We see a huge opportunity for reconfigurable logic in SoCs targeting deep learning for a wide range of applications, such as data centres, mobile and IoT,” said Prof Wei, pictured. “Embedded FPGA is changing the way chips are designed and we recognised the power of being able to reconfigure RTL when designing our deep learning chip.”

Geoff Tate, Flex Logix’ CEO, added: “Deep learning has the potential to grow significantly and we are excited to demonstrate the value of our platform for deep learning in a variety of uses. Profs Brooks and Wei are respected leaders in this field … and we are honoured to be chosen as their embedded FPGA partner.”

Graham Pitcher

Comment on this article

This material is protected by MA Business copyright See Terms and Conditions. One-off usage is permitted but bulk copying is not. For multiple copies contact the sales team.

What you think about this article:

Add your comments


Your comments/feedback may be edited prior to publishing. Not all entries will be published.
Please view our Terms and Conditions before leaving a comment.

Related Articles

NAND mobile solution

Micron Technology has begun volume shipments of the world’s first 176-layer ...

16 Mp XGS sensor

ON Semiconductor has introduced the latest addition to the XGS series of CMOS ...

8.0-inch WVGA TFT

Review Display Systems (RDS) has announced the introduction of a new 8.0-inch ...

Get to market faster

A quick look at using Vicor's PFM and AIM in VIA packaging for your AC to Point ...

Digital consciousness

​Would you consider uploading your brain to the cloud if it meant you could ...