Variation’s Long, Twisty Tail Worsens At 7/5nm


Variation is becoming a bigger challenge at each new node, but not just for obvious reasons and not always from the usual sources. Nevertheless, dealing with these issues takes additional time and resources, and it can affect the performance and reliability of those chips throughout their lifetimes. At a high level, variation historically was viewed as a mismatch between what design teams in... » read more

Auto Chip Design, Test Changes Ahead


The automotive industry’s unceasing demand for performance, coupled with larger and more complex processors, are driving broad changes in how electronics are designed, verified and tested. What's changing is that these systems, which include AI-oriented logic developed at the most advanced process nodes, need to last several times longer than traditional IT and consumer devices, and they n... » read more

Aging In Advanced Nodes


Semiconductor Engineering sat down to discuss design reliability and circuit aging with João Geada, chief technologist for the semiconductor business unit at ANSYS; Hany Elhak, product management director, simulation and characterization in the custom IC and PCB group at Cadence; Christoph Sohrmann, advanced physical verification at Fraunhofer EAS; Magdy Abadir, vice president of marketing at ... » read more

IP For Centralized ADAS Domain Controllers


A centralized architecture is becoming more popular to integrate the ADAS applications into a centralized ADAS domain controller. A centralized architecture reduces cost, minimizes development of separate software applications and reduces system complexity. As automakers adopt multi-domain controllers with centralized ADAS processors, the required performance and functionality of the ADAS proce... » read more

Cracking The Auto IC Market


The market for automotive electronics is booming, and it has set off a global scramble among established chipmakers and startups. What's becoming clear, though, is that not everyone understands just how different automotive is from the mobile market. Mobile is still the highest-volume market for semiconductors, but the growth has flattened. In contrast, the value of the automotive electronic... » read more

Build In Functional Safety Early


In the automotive world, recalls for electronics affect about five percent of the vehicles on the road. That means 5 out of every 100 vehicles today have a problem with their electronics. If we want to see more autonomous driving vehicles, that number must be improved. There needs be more robustness in the development process. Making cars safer today is Advanced Driver Assistance System (ADA... » read more

$8.5B For Auto, IoT, Security Startups


Investors infused $4.9 billion into automotive-related startups, nearly $2.5 billion into IoT startups and almost $1.2 billion into cybersecurity startups so far in 2018, according to Semiconductor Engineering’s estimates of private funding in the first six months of 2018. Popular investments included companies using artificial intelligence, big data analytics, blockchain, machine learning... » read more

Not Enough Respect For SoC Interconnect


For high-volume system-on-chip (SoC) applications—artificial intelligence (AI), automotive, mobility, solid state drives and more—effective interconnect technology can generate hundreds of millions of dollars in revenue due to smaller chip area, better functionality and faster delivery of SoC platforms. State-of-the-art interconnect technology also allows chip designers to create SoC deriva... » read more

Enabling Integrated ADAS Domain Controllers With Automotive IP


Traditionally, the electronic control units (ECUs) for individual Advanced Driver Assistance System (ADAS) applications have been placed throughout the car. The latest automotive architecture will integrate ECUs for multiple ADAS applications into centralized domains to combine multiple ADAS functions. The new class of integrated domain controller ECUs utilize data transferred from the car’s ... » read more

The Impact of AI On Autonomous Vehicles


Automotive systems designers initially used traditional embedded-vision algorithms in advanced driver assistance systems (ADAS). One of the key enablers of vehicle autonomy moving forward will be the application of artificial intelligence (AI) techniques, particularly those based upon deep-learning algorithms implemented on multi-layer convolutional neural networks (CNNs). These algorithms show... » read more

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