Blog Review: April 7


Cadence's Paul McLellan checks out the US National Security Commission on Artificial Intelligence report and what it recommends for funding the development of AI as well as semiconductor manufacturing and research. Siemens EDA's Ray Salemi continues exploring Python for verification and shows how to use cocotb to create a simple bus functional model and connect it to a testbench. Synopsys... » read more

Sharing Secure Chip Data For Analytics


New approaches and standards are being developed to securely share manufacturing and test data across the supply chain, moves that have long been considered critical to the reliability of end devices and faster time to yield and profitability. It will take time before these methods become widespread in the IC supply chain. But there is increasing agreement these kinds of measures are essenti... » read more

Monitoring Chips On Many Levels


Monitoring is an important trend for optimizing yield, performance, and uptime in systems that use complex integrated circuits, but not all monitoring is the same. In fact, there are multiple levels of monitors. In many cases, they can be used together to help solve problems when something is amiss. They also can be used to help identify who in the supply chain owns the fix. “If the sys... » read more

Week In Review: Design, Low Power


Magnachip will be acquired by Wise Road Capital for $1.4 billion, taking the NYSE-listed company private. The company designs and manufactures OLED display driver ICs and a range of power management discretes and ICs. Magnachip's management team and employees are expected to continue in their roles, and the company will remain based in Cheongju, Seoul, and Gumi, South Korea. The all-cash transa... » read more

New Uses For AI


AI is being embedded into an increasing number of technologies that are commonly found inside most chips, and initial results show dramatic improvements in both power and performance. Unlike high-profile AI implementations, such as self-driving cars or natural language processing, much of this work flies well under the radar for most people. It generally takes the path of least disruption, b... » read more

Privacy Protection A Must For Driver Monitoring


Driver monitoring systems are so tied into a vehicle's architecture that soon the driver will not be able to opt out because the vehicle will only operate if the driver is detected and monitored. This is raising privacy concerns about whether enough security is in place for the data to remain private. At the very least, laws and regulations in every geography where the vehicle will operate a... » read more

Protecting The Connected Automobile From Modern-Day Cyberattacks


As the industry continues to make advances in the autonomous vehicle as well as in vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications, automotive OEMs must do everything possible to protect the connected automobile from potential cyberattacks. Unfortunately, attacks have become so prevalent, regulatory agencies are now defining cybersecurity requirements. New laws are b... » read more

Systematic Methodology To Solve Reset Challenges In Automotive SoCs


Modern automotive SoCs typically contain multiple asynchronous reset signals to ensure systematic functional recovery from unexpected situations and faults. This complex reset architecture leads to a new set of problems such as possible reset domain crossing (RDC) issues. The conventional clock domain and CDC verification methodologies cannot identify such critical bugs. In this paper, we prese... » read more

How Heterogeneous ICs Are Reshaping Design Teams


Experts at the Table: Semiconductor Engineering sat down to discuss the complex interactions developing between different engineering groups as designs become more heterogeneous, with Jean-Marie Brunet, senior director for the Emulation Division at Siemens EDA; Frank Schirrmeister, senior group director for solution marketing at Cadence; Maurizio Griva, R&D Manager at Reply; and Laurent Mai... » read more

Blog Review: March 31


Arm's Pavel Rudko considers several common approaches used to get better performance for neural network inference on mobile devices, such as optimizing and pruning the model and using different processing units to execute different workloads in parallel. Siemens EDA's Ray Salemi introduces basic concepts of using Python for verification and how to get Python to talk to an RTL device-under-te... » read more

← Older posts Newer posts →