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Security Power Requirements Are Growing


Determining how much power to budget for security in a chip design is a complex calculation. It starts with a risk assessment of the cost of a breach and the number of possible attack vectors, and whether security is active or passive. Different forms of root of trust and cryptography have different power costs. Different systems could require tradeoffs between performance and security, whic... » read more

Chip Aging Opens Up New Attack Vectors


The longer a piece of silicon is out in the field the more prone it becomes to a cyberattack, raising questions about the optimal longevity of circuits and the impact of extending their lifetimes. This is particularly challenging for safety- and mission-critical applications, where the cost of development can run as high as $100 million for some of the most complex designs. Chipmakers want t... » read more

Integrating Data From Design, Manufacturing, And The Field


Chip design is starting to include more options to ensure chips behave reliably in the field, boosting the ability to tweak both hardware and software as chips age. The basic problem is that as dimensions become smaller, and as more features are added into devices — especially with heterogeneous assemblies of chiplets running some type of AI — the potential for thermally induced structur... » read more

Multi-Die Design Complicates Data Management


The continued unbundling of SoCs into multi-die packages is increasing the complexity of those designs and the amount of design data that needs to be managed, stored, sorted, and analyzed. Simulations and test runs are generating increasing amounts of information. That raises questions about which data needs to be saved and for how long. During the design process, engineers now must wrestle ... » read more

What Scares Chip Engineers About Generative AI


Experts At The Table: LLMs and other generative AI programs are a long way away from being able to design entire chips on their own from scratch, but the emergence of the tech has still raised some genuine concerns. Semiconductor Engineering sat down with a panel of experts, which included Rod Metcalfe, product management group director at Cadence; Syrus Ziai, vice-president of engineering at E... » read more

Automotive Security Shifts To The System Level


Cars are getting smarter, more complicated, and more vulnerable to cyberattacks. As the amount of semiconductor and software content continues to increase, so does the number of over-the-air updates and connections to edge-based servers and services, adding a variety of new vectors for attacks. Properly securing vehicles requires engineers to first identify all the possible connection points... » read more

AI In Data Management Has Limits


AI algorithms are being integrated into a growing number of EDA tools to automate different aspects of data management, but they also are forcing discussions about just how much decision-making should be turned over to machines and when that should happen. The ability of AI to sort through enormous amounts of design data to find patterns, both good and bad, is well recognized at this point. ... » read more

Power Budgets Optimized By Managing Glitch Power


“Waste not, want not,” says the old adage, and in general, that’s good advice to live by. But in the realm of chip design, wasting power is a fact of physics. Glitch power – power that gets expended due to delays in gates and/or wires – can account for up to 40% of the power budget in advanced applications like data center servers. Even in less high-powered circuits, such as those fou... » read more

AI Won’t Replace Subject Matter Experts


Experts at The Table: The emergence of LLMs and other forms of AI has sent ripples through a number of industries, raising fears that many jobs could be on the chopping block, to be replaced by automation. Whether that’s the case in semiconductors, where machine learning has become an integral part of the design process, remains to be seen. Semiconductor Engineering sat down with a panel of e... » read more

How Software-Defined Vehicles Change Auto Chip Design


The shift to software-defined vehicles is changing nearly every aspect of automotive design, from what hardware is added into vehicles, when it gets added, and what gets left behind. Moving key features to software rather than hardware allows carmakers to bring new features to market faster, at a lower cost, and to modify those features more quickly. It is also expected to drive up the value... » read more

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