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More Data Drives Focus On IC Energy Efficiency


Computing workloads are becoming increasingly interdependent, raising the complexity level for chip architects as they work out exactly where that computing should be done and how to optimize it for shrinking energy margins. At a fundamental level, there is now more data to compute and more urgency in getting results. This situation has forced a rethinking of how much data should be moved, w... » read more

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

AI In Inspection, Metrology, And Test


AI/ML is creeping into multiple processes within the fab and packaging houses, although not necessarily for the purpose it was originally intended. The chip industry is just beginning to learn where AI makes sense and where it doesn't. In general, AI works best as a tool in the hands of someone with deep domain expertise. AI can do certain things well, particularly when it comes to pattern m... » 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

Security For Cars That Are Smartphones On Wheels


Your modern car is a computer on wheels—potentially hundreds of computers on a set of wheels. Heck, even the wheels are infested with computers—what do you think prompts that little light on your dashboard to come on if your tire pressure is low? And computers don’t just run your infotainment system, backup camera, dashboard warning lights, and the voice that tells you to buckle your seat... » read more

Finding And Fixing Design And Testbench Coding Errors On The Fly


Two things are certain in chip verification: as many bugs as possible must be found and fixed before fabrication, and this must happen as early as possible in the development process. The much-desired “shift left” in verification requires that advanced analysis and debug technologies be available to engineers from the earliest stages of the project. It is preferable that many classes of err... » read more

Week In Review: Auto, Security, Pervasive Computing


Pervasive computing — IoT, edge, cloud, data center, and back Arm announced its Armv9 architecture, which is designed for secure, pervasive computing that can run in more types of AI systems. Because most data will be touching an Arm-based chip in the near future — whether on the edge, IoT, or data center — Arm enhanced the security, in addition to improving performance and AI/ML capabil... » read more

Safeguarding Data Over PCIe & CXL In Data Centers


As more devices enter the market and drive exponential growth of data in the cloud, cloud computing is going through a significant overhaul. The increasing presence of “hyperscale” cloud providers for big data and analytics, 5G for rapid IoT connectivity, and the wide use of AI for natural data processing and for extracting insights are compounding both the amount of connected data and the ... » 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

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