Designing For Extreme Low Power


There are several techniques available for low power design, but whenever a nanowatt or picojoule matters, all available methods must be used. Some of the necessary techniques are different from those used for high-end designs. Others have been lost over time because their impact was considered too small, or not worth the additional design effort. But for devices that last a lifetime on a si... » read more

Using Fab Sensors To Reduce Auto Defects


The semiconductor manufacturing ecosystem has begun collaborating on ways to effectively use wafer data to meet the stringent quality and reliability requirements for automotive ICs. Silicon manufacturing companies are now leveraging equipment and inspection monitors to proactively identify impactful defects prior to electrical test. Using machine learning techniques, they combine the monitor ... » read more

Data Strategy Shifting Again In Cars


Carmakers are modifying their data processing strategies to include more processing at or near the source of data, reducing the amount of data that needs to be moved around within a vehicle to both improve response time and free up compute resources. These moves are a world away from the initial idea that terabytes of streaming data would be processed in the cloud and sent back to the vehicl... » read more

Sensing Automotive IC Failures


The sooner you detect a failure in any electronic system, the sooner you can act. Together, data analytics and on-chip sensors are poised to boost quality in auto chips and add a growing level of predictive maintenance for vehicles. The ballooning number of chips cars makes it difficult to reach 10 defective parts per billion for every IC that goes into a car.  And requiring that for a 15-y... » read more

Which Chip Interconnect Protocol Is Better?


Semiconductor Engineering sat down to the discuss the pros and cons of the Compute Express Link (CXL) and the Cache Coherent Interconnect for Accelerators (CCIX) with Kurt Shuler, vice president of marketing at Arteris IP; Richard Solomon, technical marketing manager for PCI Express controller IP at Synopsys; and Jitendra Mohan, CEO of Astera Labs. What follows are excerpts of that conversation... » read more

Meeting The Power Challenges of ADAS


Advanced driver assistance systems (ADAS) technologies have the potential to improve driver safety and comfort, and to reduce car accidents and casualties. The adoption of ADAS technologies creates challenges in electronic solutions size, safety, and reliability. This white paper reviews the challenges for ADAS electronic components of a smart car and presents a few examples of how power man... » read more

Who Owns A Car’s Chip Architecture


Kurt Shuler, vice president of marketing at Arteris IP, examines the competitive battle brewing between OEMs and Tier 1s over who owns the architecture of the electronic systems and the underlying chip hardware. This has become a growing point of contention as both struggle for differentiation in a market where increasingly autonomous vehicles will all behave the same way. That, in turn, has si... » read more

What Is DRAM’s Future?


Memory — and DRAM in particular — has moved into the spotlight as it finds itself in the critical path to greater system performance. This isn't the first time DRAM has been the center of attention involving performance. The problem is that not everything progresses at the same rate, creating serial bottlenecks in everything from processor performance to transistor design, and even the t... » read more

Ansys SPEOS: Illuminating The Possibilities


Ansys SPEOS enables optical engineers to fine-tune critical factors such as propagation, reflection, visibility and legibility, while also identifying problems such as glare and hot spots. In a broad range of applications in the automotive, aerospace and general lighting segments, SPEOS cuts significant time and expense from the design cycle, while supporting the high degree of innovation neede... » read more

The Need For Traceability In Auto Chips


Someday your car will drive itself to a repair shop for a recall using a scheduling application that is both efficient and can prioritize which vehicles need to be fixed first. But that's still a ways off. Proactive identification of issues is not yet available. To be ready for that, today’s data analytics systems need to begin supporting targeted recalls, enabling predictive maintenance a... » read more

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