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

Patterns And Issues In AI Chip Design


AI is becoming more than a talking point for chip and system design, taking on increasingly complex tasks that are now competitive requirements in many markets. But the inclusion of AI, along with its machine learning and deep learning subcategories, also has injected widespread confusion and uncertainty into every aspect of electronics. This is partly due to the fact that it touches so many... » read more

A Bridge From Mars To Venus


In a now-famous 1992 pop psychology book titled "Men Are from Mars, Women Are from Venus," author John Gray posited that most relationship troubles in couples stem from fundamental differences in socialization patterns between men and women. The analogy that the two partners came from different planets was used to describe how two people could perceive issues in completely different and sometim... » read more

Engineering Simulation Workloads And The Rise of the Cloud


Cloud service providers (CSPs) continue to improve the performance capabilities of their non-accelerated and accelerated compute instances, as well as augment their HPC infrastructure with domain-area expertise of targeted HPC workloads. Additionally, engineers, researchers, and scientists are becoming more comfortable with the types of workloads that can be run in the cloud within acceptable w... » read more

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