Auto Chip Test Getting Harder


Chipmakers and test/validation companies are helping lead the effort to develop self-driving cars, but they are facing a wide range of technical and even cultural barriers. Advanced driver assist systems (ADAS) already are the most complex systems by far in modern cars, the best of which hover between Level 2 and Level 3 on the five-step autonomy ladder maintained by the Society of Automotiv... » read more

More Sigmas In Auto Chips


The journey to autonomous cars is forcing fundamental changes in the way chips are designed, tested and tracked, from the overall system functionality to the IP that goes into those systems. This includes everything from new requirements for automotive-grade chips to longer mean time between failures. But it also makes it far more challenging, time-consuming and complicated to create these d... » read more

Pros, Cons Of ML-Specific Chips


Semiconductor Engineering sat down with Rob Aitken, an Arm fellow; Raik Brinkmann, CEO of OneSpin Solutions; Patrick Soheili, vice president of business and corporate development at eSilicon; and Chris Rowen, CEO of Babblelabs. What follows are excerpts of that conversation. To view part one, click here. Part two is here. SE: Is the industry's knowledge of machine learning keeping up with th... » read more

Will FPGAs Work As Expected?


OneSpin Solutions’ Muhammed Haque Khan, product specialist for synthesis verification, digs into equivalence checking in FPGA designs and what can go wrong with FPGA designs. https://youtu.be/RFlP2Z_-Yqs » read more

Functional Safety: Art Or Science?


Nowadays, most hardware development projects deploy functional verification flows that include UVM-based constrained-random testbenches and formal verification. High design complexity, tough budget constraints, and short time to market are the norm, not the exception. Advanced verification is a necessity for many engineering teams. In our increasingly connected world, where billions of IoT devi... » read more

Debug Issues Grow At New Nodes


Debugging and testing chips is becoming more time-consuming, more complicated, and significantly more difficult at advanced nodes as well as in advanced packages. The main problem is that there are so many puzzle pieces, and so many different use cases and demands on those pieces, that it's difficult to keep track of all the changes and potential interactions. Some blocks are "on" sometimes,... » read more

Design Verification Is All About Good Hygiene


Design verification has a lot in common with human hygiene practices. The goal of both activities is to remove all dirt, grime, and bugs through an active process of establishing good hygiene. If this process is not followed properly, the result is viruses, infections, and other illnesses. Good verification hygiene is as important in semiconductor development as human hygiene is for a healthy b... » read more

Verification As A Flow (Part 3)


Semiconductor Engineering sat down to discuss the transformation of verification from a tool to a flow with Vladislav Palfy, global manager application engineering for OneSpin Solutions; Dave Kelf, chief marketing officer for Breker Verification Systems; Mark Olen, product marketing group manager for Mentor, A Siemens Business; Larry Melling, product management director, System & Verificati... » read more

Verification As A Flow (Part 2)


Semiconductor Engineering sat down to discuss the transformation of verification from a tool to a flow with Vladislav Palfy, global manager application engineering for OneSpin Solutions; Dave Kelf, chief marketing officer for Breker Verification Systems; Mark Olen, product marketing group manager for Mentor, A Siemens Business; Larry Melling, product management director, System & Verificati... » read more

Security Holes In Machine Learning And AI


Machine learning and AI developers are starting to examine the integrity of training data, which in some cases will be used to train millions or even billions of devices. But this is the beginning of what will become a mammoth effort, because today no one is quite sure how that training data can be corrupted, or what to do about it if it is corrupted. Machine learning, deep learning and arti... » read more

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