In the news

By Sergio Marchese, OneSpin Solutions

Security used to be about system and software. As threats evolve, hardware engineers also have to familiarize themselves with the security vocabulary.

By Sergio Marchese, Technical Marketing, OneSpin

Artificial intelligence (AI) is steadily progressing toward advanced, high-value applications that will have a profound impact on our society. Automobiles that can drive themselves are perhaps the most talked about, imminent technological revolution, but there are many more applications of AI.

By Dominik Strasser, OneSpin Solutions

Expectations for C++/SystemC designs must be set properly.

As RISC-V’s community grows ever larger, the RISC-V Foundation has announced its 2019 EMEA roadshow, Getting Started with RISC-V.

Electronics Point talked to three experts who will be speaking at the event: OneSpin’s Rob van Blommestein, Trinamic’s Onno Martens, MINRES Technologies’ Eyck Jentzsch, and GreenWaves Technologies’ Martin Croome.

By Tom Anderson, Technical Marketing, OneSpin

Formal verification traditionally has been regarded as an advanced technique for experts to thoroughly verify indi- vidual blocks of logic, or perhaps small clusters of blocks. The appeal of formal techniques is the exhaustive analysis of all possible behavior for the design being verified. This stands in sharp contrast to simulation, which exercises only a tiny fraction of possible behavior by running specific tests. If no test triggers a design bug, the bug will not be found. If the bug is triggered but no change in results is observed, the bug will not be found. Given a sufficiently robust set of properties to describe intended behavior, formal tools can not only find all bugs but also prove that there are no more bugs to be found.

By Ann Steffora Mutschler, Semiconductor Engineering | Feat. Sasa Stamenkovic, senior field applications engineer, OneSpin Solutions

In the past, FPGAs were considered a relatively quick and simple way to get to market before committing to the cost and time of developing an ASIC. But today, both FPGAs and eFPGAs are being used in the most demanding applications, including cloud computing, AI, machine learning, and deep learning. In some cases, they are being combined with an ASIC or some other type of application-specific processor or accelerator inside a chip, a package or a system. As a result, requirements for effective power, performance, and area (PPA) are every bit as strict as for ASICs and full-custom chips, and the tradeoffs are equally complicated and often intertwined.

By Ann Steffora Mutschler, Semiconductor Engineering | Featuring Vladislav Palfy, Director of Applications Engineering, OneSpin

Managing IP quality and compatibility is becoming more difficult at advanced nodes and in safety-critical markets.

Chipmakers are finding it increasingly difficult to achieve first-pass silicon with design IP sourced internally and from different IP providers, and especially with configurable IP.

Fachartikel von Jörg Grosse, Sergio Marchese, OneSpin Solutions

Die Sicherheit von applikationsspezifischen Automotive-Chips beurteilen

ASICs, FPGAs und SoCs unterliegen dem Risiko, dass während des Betriebs Fehler auftreten. Dabei ist FMEDA entscheidend für die Analyse des Ausfallrisikos. Ist dabei eine Automatisierung möglich?