Fabless IDMs Redefine The Leading Edge


Large systems companies are looking more like integrated device manufacturers, designing their own advanced chips, packages, and systems for internal use. But because these are not pure-play chip companies, they are disrupting a 10-year cadence of customization and standardization that has defined the chip industry from its inception, and extending the period of innovation without the associate... » read more

Which Foundry Is In The Lead? It Depends.


The multi-billion-dollar race for foundry leadership is becoming more convoluted and complex, making it difficult to determine which company is in the lead at any time because there are so many factors that need to be weighed. This largely is a reflection of changes in the customer base at the leading edge and the push toward domain-specific designs. In the past, companies like Apple, Google... » read more

Chip Challenges In The Metaverse


The metaverse is pushing the limits of chip design, despite uncertainty about how much raw horsepower these devices ultimately will require to deliver an immersive blend of augmented, virtual, and mixed reality. The big challenge in developing these systems is the ability to process mixed data types in real time while the data moves uninterrupted at lightning speed. That requires the integra... » read more

Week In Review: Auto, Security, Pervasive Computing


Automotive, Mobility Hyundai announced all of its vehicles will be software-defined vehicles (SDVs) by 2025. The company said all newly launched Hyundai vehicles will be able to receive over-the-air software updates next year, and that it expects to register 20 million vehicles to its Connected Car Services system by 2025. Hyundai also said it will invest the equivalent of more than $12 billio... » read more

Why Silent Data Errors Are So Hard To Find


Cloud service providers have traced the source of silent data errors to defects in CPUs — as many as 1,000 parts per million — which produce faulty results only occasionally and under certain micro-architectural conditions. That makes them extremely hard to find. Silent data errors (SDEs) are random defects produced in manufacturing, not a design bug or software error. Those defects gene... » read more

IC Architectures Shift As OEMs Narrow Their Focus


Diminishing returns from process scaling, coupled with pervasive connectedness and an exponential increase in data, are driving broad changes in how chips are designed, what they're expected to do, and how quickly they're supposed to do it. In the past, tradeoffs between performance, power, and cost were defined mostly by large OEMs within the confines of an industry-wide scaling roadmap. Ch... » read more

Week In Review: Manufacturing, Test


Highlights from ITC The hot topic at this week’s International Test Conference (ITC) was tackling silent data corruption, with panel discussions, papers, and Google’s Parthasarathy Ranganathan’s keynote address all emphasizing the urgency of the issue. In the past two years Meta, Google, and Microsoft have reported on silent errors, errors not detected at test, which are adversely impact... » read more

How To Compare Chips


Traditional metrics for semiconductors are becoming much less meaningful in the most advanced designs. The number of transistors packed into a square centimeter only matters if they can be utilized, and performance per watt is irrelevant if sufficient power cannot be delivered to all of the transistors. The consensus across the chip industry is that the cost per transistor is rising at each ... » read more

Week In Review: Design, Low Power


Revenue for the top 10 IC design houses globally hit US$ 39.6 billion in 2Q22, a 32% growth over the prior year, according to a Trendforce report. The firm contends this growth trend will be difficult to maintain due to the high preceding base period and overall worse market conditions. Renesas introduced a RISC-V MCU specifically optimized for advanced motor control systems. The new ASSP in... » read more

New Uses For AI In Chips


Artificial intelligence is being deployed across a number of new applications, from improving performance and reducing power in a wide range of end devices to spotting irregularities in data movement for security reasons. While most people are familiar with using machine learning and deep learning to distinguish between cats and dogs, emerging applications show how this capability can be use... » read more

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