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Importance of Dependent Failure Analysis for Safety-Critical IP and SoCs

This white paper explains the importance of implementing DFA in the automotive IP and SoC development cycle and how DFA helps meet the technical independence essentials according to the design’s ...

Holistic Verification and Validation of Automotive IP for Functional Safety SoCs

This white paper illustrates a holistic approach to verification and validation of automotive IP for functional safety products and how such a holistic approach eliminates costly iterations and ...

Testing Embedded MRAM IP for SoCs

The challenges of embedded memory test and repair are well known, including maximizing fault coverage to prevent test escapes and using spare elements to maximize manufacturing yield. With the ...

Aligning Automotive Safety Requirements Between IP and SoCs

This white paper explains how automotive IP developers need to implement safety standards to make safety integration easier at the SoC level.

Best Practices for Traceability of Functional Safety Requirements In ...

Automotive functional safety systems continue to incorporate complex features to meet wide range of consumer demands. Developing functional safety systems, including all the components such as the ...

Digital Signal Processing for Frequency-Modulated Continuous Wave RADARs

RADAR is an established technology, but interest has been stimulated recently by demands of driver assistance systems and emerging self-driving cars for applications including proximity warning, ...

Safety and Security from the Inside - a SoC's Perspective

This paper discusses the considerations for safety and security from the inside of the SoC, going over the role of the IP, subsystems, and overall design.

IP for Centralized ADAS Domain Controllers

This white paper describes the new ADAS SoC architecture which has transitioned from decentralized ECUs to centralized multi-domain controllers and explains the implementation of domain controllers...

The Impact of AI on Autonomous Vehicles

One of the key enablers of vehicle autonomy moving forward will be the application of AI techniques, particularly those based upon deep-learning algorithms implemented on multi-layer CNNs. These ...

Data Converters IP for Automotive SoCs

Meet automotive requirements by judicious partitioning of the functional safety requirements between the IP, such as data converters, and the SoC functional blocks that include the IP.