Yield Management Embraces Expanding Role


Competitive pressures, shrinking time-to-market windows, and increased customization are collectively changing the dynamics and demands for yield management systems, shifting left from the fab to the design flow and right to assembly, packaging, and in-field analysis. The basic role of yield management systems is still expediting new product introductions, reducing scrap, and delivering grea... » read more

Cloud Or On-premises? Why Not Both: A Hybrid Approach For Structure Simulation


Faced with large problem sizes and urgent deadlines, it’s not surprising that more and more product development teams are accessing high-performance computing (HPC) resources on the cloud. After all, a cloud computing model enables you to access the most advanced, leading-edge software and hardware on demand. There are no queues or wait times. Users can “dial up” core counts and other set... » read more

Optimizing EDA Cloud Hardware And Workloads


Optimizing EDA hardware for the cloud can shorten the time required for large and complex simulations, but not all workloads will benefit equally, and much more can be done to improve those that can. Tens of thousands of GPUs and specialized accelerators, all working in parallel, add significant and elastic compute horsepower for complex designs. That allows design teams to explore various a... » read more

Building A Comprehensive Multicloud Security Strategy: A Zero-Trust Approach


The traditional, perimeter-based security model is no longer sufficient in today’s dynamic, multicloud deployments. A zero-trust (ZT) security model, in which no user or system is inherently trusted, is becoming essential—it is a foundational capability that underpins security for multicloud strategies. The ZT security model operates on the principle of “Never trust. Always verify.” ... » read more

Using Keysight Design Data Management SOS In The Cloud


Integrated circuits (ICs) are becoming increasingly complex and resource intensive. This is challenging companies to design chips more efficiently and reduce the overall impact of peak processing loads. Companies typically use large server farms and high-performance storage systems to design and validate chips quickly and efficiently. However, this approach is very resource intensive. For ex... » read more

For SDVs, Software Is The Biggest Challenge


Software-defined vehicles (SDVs) involve far more than just OTA applications enabling software upgrades over the air. Software that will manage hundreds of ECUs and other functions within the vehicle is expected to grow beyond hundreds of millions of lines of code, possibly making SDV software development the number one challenge in automotive design. The benefits of SDVs, such as easy updat... » read more

Data Leakage In Heterogeneous Systems


Semiconductor Engineering sat down with Paul Chou, senior director of security architecture at NVIDIA, to discuss data leakage in heterogeneous designs. What follows are excerpts of that one-on-one interview, which was held in front of a live audience at the Hardwear.io conference. SE: We think about hardware in terms of a chip, but increasingly there is data moving through different systems... » read more

Network-on-Chips Enabling Artificial Intelligence/Machine Learning Everywhere


Recently, I attended the AI HW Summit in Santa Clara and Autosens in Brussels. Artificial intelligence and machine learning (AI/ML) were critical themes for both events, albeit from different angles. While AI/ML as a buzzword is very popular these days in all its good and bad ways, in discussions with customers and prospects, it became clear that we need to be precise in defining what type of A... » read more

Industry Pressure Grows For Simulating Systems Of Systems


Most complex systems are designed in a top-down manner, but as the amount of electronic content in those systems increases, so does the pressure on the chip industry to provide high-level models and simulation capabilities. Those models either do not exist today, or they exist in isolation. No matter how capable a model or simulator, there never will be one that can do it all. In some cases,... » read more

High-Quality Silicon With Cloud-Based Verification


New materials, vertically stacked architectures, and angstrom-level process technologies—the complexity of today’s SoCs continues to grow to meet the needs of demanding applications such as AI, autonomous vehicles, and high-performance computing. This trend only places greater pressure on verification, already notorious for being a significant bottleneck in chip development. Design teams... » read more

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