Managing EDA’s Rapid Growth Expectations


The EDA industry has been doing very well recently, but how long this run will continue is a matter of debate. EDA is an industry ripe for disruption due to rapid changes in chip architectures, end markets, and a long list of new technologies. In addition, recent geopolitical tensions are bringing a lot more attention to this small sector upon which the whole semiconductor industry rests. De... » read more

A Hierarchical And Tractable Mixed-Signal Verification Methodology For First-Generation Analog AI Processors


Artificial intelligence (AI) is now the key driving force behind advances in information technology, big data and the internet of things (IoT). It is a technology that is developing at a rapid pace, particularly when it comes to the field of deep learning. Researchers are continually creating new variants of deep learning that expand the capabilities of machine learning. But building systems th... » read more

Blog Review: March 22


Siemens EDA's Dan Yu warns that the unavailability of verification data is slowing down the development of advanced machine learning for verification, with valuable data assets either siloed among different team members or projects or simply discarded due to the lack of analytic techniques to extract value from them. Synopsys' Richard Solomon and Dana Neustadter point to the need for hardwar... » read more

Blog Review: March 15


Siemens EDA's Dan Yu finds that high-quality, well-connected mass data are crucial to the success of applying machine learning to verification and recommends teams pivot to a data-centric workflow. Synopsys' Shankar Krishnamoorthy suggests that deploying AI-driven chip design and verification can free teams from iterative work, letting them focus instead on product differentiation and PPA en... » read more

Deep Learning (DL) Applications In Photomask To Wafer Semiconductor Manufacturing


Published by the eBeam Initiative Member Companies (February 2023), this list of artificial intelligence (AI) systems used by member companies in their semiconductor manufacturing products shows progress. New examples of systems using AI include: image processing and parameter tuning in lithography tool mask metrology system B-SPline Control Point generation tool sem... » read more

Self-Heating Issues Spread


With every new node there are additional physical effects that must be considered, but not all of them are of the same level of criticality. One that is being mentioned more frequently is self-heating. All devices consume power and when they do that, it becomes heat. "In essence, all active devices generate heat as carriers move, creating channels for current to pass through the gates," says... » read more

Uneven Circuit Aging Becoming A Bigger Problem


Circuit aging is emerging as a first-order design challenge as engineering teams look for new ways to improve reliability and ensure the functionality of chips throughout their expected lifetimes. The need for reliability is obvious in data centers and automobiles, where a chip failure could result in downtime or injury. It also is increasingly important in mobile and consumer electronics, w... » read more

Low-Power IC Design Without Compromise


In the process of creating ICs, the digital implementation stage is focused on meeting the performance, power, and area (PPA) targets defined for the design. Traditionally, when talking about PPA metrics, “performance” has been the primary focus, with power and area recovered where possible, after meeting timing. But as designs have moved to smaller, more advanced process nodes, and as s... » read more

What Makes RISC-V Verification Unique?


Semiconductor Engineering sat down to discuss the verification of RISC-V processors with Pete Hardee, group director for product management at Cadence; Mike Eftimakis, vice president for strategy and ecosystem at Codasip; Simon Davidmann, founder and CEO of Imperas Software; Sven Beyer, program manager for processor verification at Siemens EDA; Kiran Vittal, senior director of alliances partner... » read more

A Hierarchical And Tractable Mixed-Signal Verification Methodology For First-Generation Analog AI Processors


Artificial intelligence (AI) is now the key driving force behind advances in information technology, big data and the internet of things (IoT). It is a technology that is developing at a rapid pace, particularly when it comes to the field of deep learning. Researchers are continually creating new variants of deep learning that expand the capabilities of machine learning. But building systems th... » read more

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