Week In Review: Auto, Security, Pervasive Computing


Synopsys has added nanoscale and macroscale illumination optics to its RSoft Photonic Device Tools version 2020.03. ARVR designers can use the RSoft-LightTools Bidirectional Scattering Distribution Function (BSDF) interface to make interpolated BSDF files for optimized nanoscale and macroscale optics, such as freeform optical prism projectors, eye tracking technologies, and optical planar waveg... » read more

Lane Departure Warnings For The Auto Industry


The automotive chip market is undergoing a series of subtle but significant shifts behind the scenes that could have major implications for the global automotive supply chain. After a few years of racing toward autonomous vehicles and setting in motion a frenzy of activity, some of the big auto makers have begun taking the design of key functions such as centralized logic in-house. There... » read more

The IoT Of COVID-19


Data from the Internet of Things (IoT) and mobile devices is providing a surprising view on the COVID-19 pandemic. Like an invisible hurricane churning over us, the pandemic’s effects are huge, but the tiny virus that causes it is very difficult to see directly. Data can save lives. Early detection, isolating those who are positive, contact tracing and isolating those who had contact are k... » read more

Four Steps To ISO 26262 Safety Mechanism Insertion And Validation


By Ping Yeung, Jin Hou, Vinayak Desai, and Jacob Wiltgen The complexity of automotive integrated circuits (ICs) has grown exponentially with the introduction of advanced driver-assistance systems and autonomous-drive technologies. Directly correlated to this hike in complexity is the increased burden of ensuring an IC is protected from random hardware faults—functional failures that occur ... » read more

PUF, The Magic IoT Defender


How would you feel if you put hours of effort and your ingenuity into designing a product, only to find cheaper copycats on the market? And what if, over time, those copycats failed and somehow eroded your company’s brand reputation? It happens more often than it should, especially as hackers up their game in sophistication and consumers get attracted to lower cost options. So that’s why... » read more

Tracking Automotive’s Rapidly Shifting Ecosystem


The automotive ecosystem is becoming much harder to navigate as automakers, Tier 1s and IP vendors redefine their relationships based upon shifting value caused by an rapidly expanding amount of increasingly interdependent and complex electronic content. Predictions of massive change started almost a decade ago with a number of pilot programs around autonomous vehicles. But those shifts real... » read more

AI, Performance, Power, Safety Shine Spotlight On Last-Level Cache


Memory limitations to performance, always important in modern systems, have become an especially significant concern in automotive safety-critical applications making use of AI methods. On one hand, detecting and reporting a potential collision or other safety problem has to be very fast. Any corrective action is constrained by physics and has to be taken well in advance to avoid the problem. ... » read more

AI Inference: Pools Vs. Streams


Deep Learning and AI Inference originated in the data center and was first deployed in practical, volume applications in the data center. Only recently has Inference begun to spread to Edge applications (anywhere outside of the data center). In the data center much of the data to be processed is a “pool” of data. For example, when you see your photo album tagged with all of the pictures ... » read more

Don’t Get Stranded On Islands, Delete Them


No, this isn’t a Hollywood movie. We’re talking about pieces of plane shapes with no connections to them, not an idyllic private oasis in the Caribbean (sorry). Removing shape islands is something you’ve always been able to do in the Allegro layout environments, but the flow for achieving this has improved significantly in recent years. Come with us, and we’ll compare what the flow u... » read more

New Ways To Optimize Machine Learning


As more designers employ machine learning (ML) in their systems, they’re moving from simply getting the application to work to optimizing the power and performance of their implementations. Some techniques are available today. Others will take time to percolate through the design flow and tools before they become readily available to mainstream designers. Any new technology follows a basic... » read more

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