- Challenges Of Logic BiST In Automotive ICs
- Engineering creativity using model-based generative tools
- Enabling embedded multicore systems with multiple OSes and critical goals
- Visualizing electrical loads
- Predicting Trends in the Semiconductor Industry
Challenges Of Logic BiST In Automotive ICs
Chip designers are quickly adopting more robust test solutions to meet steep quality and reliability requirements from the ISO 26262 standard. Among these solutions is built-in-self-test (BIST) for both logic and memory that periodically test the chip during operation. This article examines challenges related to implementing logic BIST on automotive chips.
Engineering creativity using model-based generative tools
Siemens has announced that Mazda Motor Corporation has adopted the Capital electrical design software suite from Mentor, a Siemens business. The Capital suite will help maximize innovation in the design of next-generation automotive electrical systems. Mazda uses Capital for model-based generative design for the electrical and electronic systems of the entire vehicle platform.
Multicore embedded systems are becoming more common to achieve a variety of technical, time-to-market, and production cost goals. Multicore systems require a number of key decisions regarding the hardware and software architectures employed. Colin Walls examines these choices and the architectural configurations available in this article.
Visualizing electrical loads
With a growing amount of electrical and electronic content in each new generation of aircraft, ensuring that power supplies and demands is becoming more challenging, and important. Excessive power demand can cause significant problems for aerospace companies attempting to establish regulatory compliance of a new design. The new Capital Load Analyzer solution was developed to address this problem by predicting power demands in multiple stages of flight to help designers find problems before compliance testing begins.
Wally Rhines describes a set of tools for predicting trends in the semiconductor industry. One of the most fundamental, even more so than Moore’s Law, is the learning curve, which has been used in several industries to predict the future cost of a number of products.