All Things Semiconductor!
Arm is a machine. They crank out new products in a wide range of categories, Project Trillium for AI, Neoverse for infrastructure, their Automotive Enhanced line and the Pelion IoT platform. And in each they have a regular beat of new product introductions following roadmaps they have already laid out. Not that you’d expect any … Read More
Synopsys seems to particularly excel at these events, whether in half-day tutorials at conferences or, as in this case, in a full-day on-site workshop. You might think there’s not much that can be added in this domain, other than to bring low-power newbies up to speed, but you’d be wrong. This event set the stage with surveys on needs… Read More
By now, you should know about AI in the cloud for natural language processing, image ID, recommendation, etc, etc (thanks to Google, Facebook, AWS, Baidu and several others) and AI on the edge for collision avoidance, lane-keeping, voice recognition and many other applications. But did you know about AI in the fog? First, a credit… Read More
SLAM – simultaneous localization and mapping – is critical for mobile robotics and VR/AR headsets among other applications, all of which typically operate indoors where GPS or inertial measurement units are either ineffective or insufficiently accurate. SLAM is a chicken and egg problem in which the system needs to map its environment… Read More
Big prototyping hardware is essential to modern firmware and software development for pre-silicon, multi-billion gate hardware. For hardware verification it complements emulation, running fast enough for realistic testing on big software loads while still allowing fast-switch to emulation for more detailed debug where… Read More
I assume you know the Geoffrey Moore “crossing the chasm†concept, jumping from early stage enthusiasts trying your product because they’ll try anything new, to expanding to a mainstream and intrinsically more critical audience – a much tougher proposition. I’d argue there may be more than one of these transitions in the… Read More
Machine learning (ML) is already making its way into EDA tools and flows, but the majority of announcements have been around implementation, especially in guiding toward improved timing and area. This is a pretty obvious place to start; ML is in one sense an optimization technique, trained on prior examples, which should be able… Read More
Mentor are stepping up their game in AI/ML. They already had a well-established start through the Solido acquisition in Variation Designer and the ML Characterization Suite, and through Tessent Yield Insight. They have also made progress in prior releases towards supporting design for ML accelerators using Catapult HLS. Now… Read More
Standards committees, the military and governmental organizations are drawn to acronyms as moths are drawn to a flame, though few of them seem overly concerned with the elegance or memorability of these handles. One such example is SOTIF – Safety of the Intended Function – more formally known as ISO/PAS 21448. This is a follow-on… Read More
When PSS comes up, a lot of mainstream verification engineers are apt to get nervous. They worry that just as they’re starting to get the hang of UVM, the ivory tower types are changing the rules of dynamic verification again and that they’ll have to reboot all that hard-won UVM learning to a new language. The PSS community and tool … Read More
