Article | REF: H1098 V1

Hardware supports for Deep Neural Networks

Author: Daniel ETIEMBLE

Publication date: August 10, 2021

You do not have access to this resource.
Click here to request your free trial access!

Already subscribed? Log in!


Français

10. Concluding remarks

Hardware developments for deep neural networks are constantly evolving. They cover a wide spectrum, from data centers to systems for the Internet of Things and mobile devices (smartphones, tablets). We have only considered hardware from major operators (Google, Microsoft, etc.) or chip suppliers (Arm, Intel, NVidia, Xilinx, etc.). There are a large number of small companies and startups offering neural network circuitry.

While it is still difficult to characterize them precisely, a number of trends can be identified:

  • neural processors, particularly at the top end of the market, feature a large number of cores interconnected by high-performance networks and fed by high-performance memory systems. They are closer to very large-core processors (presented in

You do not have access to this resource.

Exclusive to subscribers. 97% yet to be discovered!

You do not have access to this resource.
Click here to request your free trial access!

Already subscribed? Log in!


The Ultimate Scientific and Technical Reference

A Comprehensive Knowledge Base, with over 1,200 authors and 100 scientific advisors
+ More than 10,000 articles and 1,000 how-to sheets, over 800 new or updated articles every year
From design to prototyping, right through to industrialization, the reference for securing the development of your industrial projects

This article is included in

Software technologies and System architectures

This offer includes:

Knowledge Base

Updated and enriched with articles validated by our scientific committees

Services

A set of exclusive tools to complement the resources

Practical Path

Operational and didactic, to guarantee the acquisition of transversal skills

Doc & Quiz

Interactive articles with quizzes, for constructive reading

Subscribe now!

Ongoing reading
Concluding remarks