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

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

How To Measure ML Model Accuracy


Machine learning (ML) is about making predictions about new data based on old data. The quality of any machine-learning algorithm is ultimately determined by the quality of those predictions. However, there is no one universal way to measure that quality across all ML applications, and that has broad implications for the value and usefulness of machine learning. “Every industry, every d... » 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

Computing Where Data Resides


Computational storage is starting to gain traction as system architects come to grips with the rising performance, energy and latency impacts of moving large amounts of data between processors and hierarchical memory and storage. According to IDC, the global datasphere will grow from 45 zettabytes in 2019 to 175 by 2025. But that data is essentially useless unless it is analyzed or some amou... » read more

Verification In The Open Source Era


Experts at the Table: Semiconductor Engineering sat down to discuss what open source verification means today and what it should evolve into, with Jean-Marie Brunet, senior director for the Emulation Division at Siemens EDA; Ashish Darbari, CEO of Axiomise; Simon Davidmann, CEO of Imperas Software; Serge Leef, program manager in the Microsystems Technology Office at DARPA; Tao Liu, staff hardwa... » read more

Waiting For Chiplet Standards


The need and desire for chiplets is increasing, but for most companies that shift will happen slowly until proven standards are in place. Interoperability and compatibility depend on many layers and segments of the supply chain coming to agreement. Unfortunately, fragmented industry requirements may lead to a plethora of solutions. Standards always have enabled increasing specialization. ... » read more

Demand for IC Resilience Drives Methodology Changes


Applications that demand safety, security, and resilience are driving new ways of thinking about design, verification, and the long-term reliability of chips on a mass scale. The need is growing for chips that can process more data faster, over longer periods of time, and often within a shrinking power budget. That, in turn, is forcing changes at multiple levels, at the architecture, design,... » read more

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