Balancing AI And Engineering Expertise In The Fab


Modeling and simulation are playing increasingly critical roles in chip development due to tighter process specs, shrinking process windows, and fierce competition to bring technologies to market first. Before a new device makes it to high-volume manufacturing, there are countless engineering hours spent on developing the lithography, etching, deposition, CMP, and many other processes, at hi... » read more

Overcoming Regression Debug Challenges With Machine Learning


Development of a modern semiconductor requires running many electronic design automation (EDA) tools many times over the course of the project. Every stage, from architectural exploration and design to final implementation and manufacturing preparation, has multiple methodology loops that must be repeated again and again. Even in such a complex development flow, functional simulation stands ... » read more

Welcome To EDA 4.0 And The AI-Driven Revolution


By Dan Yu, Harry Foster, and Tom Fitzpatrick Welcome to the era of EDA 4.0, where we are witnessing a revolutionary transformation in electronic design automation driven by the power of artificial intelligence. The history of EDA can be delineated into distinct periods marked by significant technological advancements that have propelled faster design iterations, improved productivity, and fu... » read more

Accelerating Development of Software Defined Vehicles with Virtual ECUs


The automotive industry is going through a revolution. To adapt to new customer demands such as convenience, safety, autonomy, and electrification, the automotive industry is moving to software-driven vehicles. These require new, more powerful electrical/electronic (E/E) architectures and significantly increase the vehicle software content. They also force the industry to move from lengthy deve... » read more

Computational Imaging Craves System-Level Design And Simulation Tools To Leverage Disruptive AI In Embedded Vision


Image quality now relies more than ever on high computing power tied to miniaturized optics and sensors, rather than on standalone and bulky but aberration-free optics. This new trend is called computational imaging and can be used either for computational photography or for computer vision. Read this white paper to learn about market trends and promising system co-design and co-optimization ap... » read more

Hardware-Accelerated RTL Simulator


A technical paper titled "Manticore: Hardware-Accelerated RTL Simulation with Static Bulk-Synchronous Parallelism" was published by researchers at EPFL, University of Tokyo, Sharif University, and Indian Institute of Technology. Abstract "The demise of Moore's Law and Dennard Scaling has revived interest in specialized computer architectures and accelerators. Verification and testing of thi... » read more

Gem5 Simulation Environment With Customized RISC-V Instructions for LIM Architectures


A new technical paper titled "Simulation Environment with Customized RISC-V Instructions for Logic-in-Memory Architectures" was published by researchers at National Tsing-Hua University, Politecnico di Torino, University of Rome Tor Vergata, and University of Twente. Abstract "Nowadays, various memory-hungry applications like machine learning algorithms are knocking "the memory wall". Tow... » read more

AI Becoming More Prominent In Chip Design


Semiconductor Engineering sat down to talk about the role of AI in managing data and improving designs, and its growing role in pathfinding and preventing silent data corruption, with Michael Jackson, corporate vice president for R&D at Cadence; Joel Sumner, vice president of semiconductor and electronics engineering at National Instruments; Grace Yu, product and engineering manager at Meta... » read more

Simulating Reality: The Importance Of Synthetic Data In AI/ML Systems For Radar Applications


Artificial intelligence and machine learning (AI/ML) are driving the development of next-generation radar perception. However, these AI/ML-based perception models require enough data to learn patterns and relationships to make accurate predictions on new, unseen data and scenarios. In the field of radar applications, the data used to train these models is often collected from real-world meas... » read more

Building Better Cars Faster


Carmakers are accelerating their chip and electronic design schedules to remain competitive in an increasingly fast-changing market, but they are encountering gaps in the tooling, the supply chain, and in the methodologies they use to create those cars. While it's easy to envision how CAD software could be used to create the next new vehicle’s 3-D look, and how simulation software helps de... » read more

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