Week In Review: Manufacturing, Test

By Mark LaPedus - 03 Apr, 2020 - Comments: 0

Fab tool shipping costs The coronavirus is impacting semiconductor equipment companies. Many have withdrawn their previous forecasts. “It has also led to a rise in shipping costs,” said Krish Sankar, an analyst with Cowen, in a research note. Most semiconductor equipment and components are shipped via air, according to Sankar. The exception is flat-panel display equipment and other sys... » read more

Week In Review: Design, Low Power

By Jesse Allen - 03 Apr, 2020 - Comments: 0

Synopsys added MIPI C-PHY/D-PHY IP for a range of FinFET processes, adding to its MIPI camera and display IP portfolio. The C-PHY/D-PHY meet functional safety and reliability requirements of automotive ADAS and infotainment applications. It supports low-power state modes and delivers below 1.3pJ/bit at 24 Gb/s. The IP enables 4K and beyond displays and 100-megapixel cameras with support for up ... » read more

Week In Review: Auto, Security, Pervasive Computing

By SE Staff - 03 Apr, 2020 - Comments: 0

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

By Ed Sperling - 02 Apr, 2020 - Comments: 0

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

By SE Staff - 02 Apr, 2020 - Comments: 1

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 - 02 Apr, 2020 - Comments: 1

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

By Christine Young - 02 Apr, 2020 - Comments: 0

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

By Ann Mutschler - 02 Apr, 2020 - Comments: 0

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

By Kurt Shuler - 02 Apr, 2020 - Comments: 0

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

By Geoff Tate - 02 Apr, 2020 - Comments: 0

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

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