Our Mission

To strengthen the design capability in world-class electronic systems.

To do this we form a collaboration centre of excellence for design companies to engage, leverage and develop leading-edge embedded electronics technologies in order to fuel company growth and profitability.

Design Building Blocks

The design challenge covers a wide area of electronics and can be viewed as a number of interconnected building blocks.

SILICON

SILICON

Semiconductors, whether sensors or processors, continue to increase in complexity handling ever-increasing data rates with the challenge to reduce power consumption. Semiconductors are providing the increasing computing power in Edge applications which also utilise AI-algorithms to enhance its intelligence capability.

SOFTWARE

SOFTWARE

As the software stack for a given system becomes more vertical than higher levels of SW language are utilised for design efficiency. This is evident today in Cloud-based systems but is becoming increasingly relevant in Edge applications.

IP

IP

The design of IP is evolving quickly to take maximum advantage of AI algorithms which can accelerate time to market and maximise efficiency of operation. It is important for IP providers to provide new tools that facilitate the deployment of machine learning in neural networks across a range of products.

AI

AI

The use of various AI technologies is becoming ubiquitous in leading edge designs. Whereas this computer science began in cloud applications, it is becoming prevalent in Edge applications where the relevant computing power can be attained within the silicon product. This is also allowing training operations and more inference capability at the Edge.

DESIGN TOOLS

DESIGN TOOLS

The use of AI-techniques in semiconductor design is increasing design efficiency especially where transistor count on chip is counted in billions. It also increases the challenge of verification and validation of the product.

SYSTEM

SYSTEM

The trend of semiconductor, SW, and design tool designers has been to improve the system know-how capability understanding the specific needs of specific applications. As connectivity increases then products become interrelated within a System-of-Systems which raises the challenge of a holistic approach to design and verification of such complex systems.