MENU

Many-core processor targets embedded AI applications

Many-core processor targets embedded AI applications

Technology News |
By Rich Pell



The chip is being designed with 80 or 160 64-bit processor cores plus 80 or 160 co-processors optimized to accelerate computer vision and deep learning and is being aimed at embedded applications with artificial intelligence such as self-driving vehicles. The MPPA Coolidge processor is being developed for implementation in a 16nm FinFET process and will be available in mid-2018, Kalray said.

The MPPA3 Coolidge follows on from Kalray’s present-day processor, the MPPA2-256 Bostan processor, which is in use by automotive and aeronautic OEMs and their first-tier suppliers.

The Coolidge is expected to operate at a clock frequency of 1.2GHz and achieve peak performance capability of 5TFLOPS and 5TOPS while consuming less than 20W of power.

The MPPA3 Coolidge will be compatible with multiple interfaces – PCIe, Ethernet, DDR, CAN, USB and others. It will also contain security and safety blocks to keep the processor running safely and protect systems against cyber-attack.

Kalray is currently working with various customers to put the Coolidge at the heart of newly developed critical embedded applications.

www.kalray.eu
White paper

Related articles:
Kalray turns to neural networks
ARM’s soft launch for machine learning library
French parallel processing research wins €32m funding
Nvidia seeds education with deep learning teaching kit

If you enjoyed this article, you will like the following ones: don't miss them by subscribing to :    eeNews on Google News

Share:

Linked Articles
10s