Author's Latest Posts


Signal Integrity Plays Increasingly Critical Role In Chiplet Design


Maintaining the quality and reliability of electrical signals as they travel through interconnects is proving to be much more challenging with chiplets and advanced packaging than in monolithic SoCs and PCBs. Signal integrity is a fundamental requirement for all chips and systems, but it becomes more difficult with chiplets due to reflections, loss, crosstalk, process variation, and various ... » read more

Automotive Outlook 2025: Ecosystem Pivots Around SDV


The automotive industry is deep in the throes of a massive shift to software-defined vehicle architectures, a multi-year effort that will change the way automotive chips are designed, where they are used, and how they are sourced. Creating a new vehicle architecture is no small feat. OEMs need to figure out who to partner with and which aspects of their current architecture to include. This ... » read more

Design Customization Puts Heavy Burden On Verification


Experts At The Table: The pressure on verification engineers to ensure a device will function correctly has increased exponentially as chips become more complex and heterogeneous. Semiconductor Engineering sat down with a panel of experts, including Josh Rensch, director of application engineering at Arteris; Matt Graham, senior group director for verification software product management at Cad... » read more

Automotive OEMs Face Multiple Technology Adoption Challenges


Experts At The Table: The automotive ecosystem is in the midst of significant change. OEMs and tiered providers are grappling with how to deal with legacy technology while incorporating ever-increasing levels of autonomy, electrification, and software-defined vehicle concepts, just to name a few. Semiconductor Engineering sat down to discuss these and other related issues with Wayne Lyons, seni... » read more

Auto Ecosystem Begins Shift To Software-First


Experts at the Table: The automotive ecosystem is in the midst of an intense evolution as OEMs and tiered providers grapple with how to deal with legacy technology while incorporating ever-increasing levels of autonomy, electrification, and software-defined vehicle concepts. Semiconductor Engineering sat down to discuss these and other related issues with Wayne Lyons, senior director for the au... » read more

Strain, Stress In Advanced Packages Drives New Design Approaches


Thermal and mechanical stresses are creating significant challenges in heterogeneous chiplet assemblies, increasing the time and cost required to work through all the possible physical effects, dependencies, and interactions, and driving demand for new tools. Unlike in the past, when various components were crammed into a planar SoC on a relatively thick substrate, the new substrates are bei... » read more

SLM Evolves Into Critical Aspect Of Chip Design And Operation


Silicon lifecycle management has evolved greatly in the past five years, moving from novel concept to a key part of design flows at industry leaders such as NVIDIA, Amazon Web Services, Ericsson, and others. Along with becoming a major focus for companies developing semiconductors, the use cases have expanded. While initially focused on post-silicon insights, SLM has expanded to cover the en... » read more

Radar, AI, And Increasing Autonomy Are Redefining Auto IC Designs


Increasing levels of autonomy in vehicles are fundamentally changing which technologies are chosen, how they are used and interact with each other, and how they will evolve throughout a vehicle's lifetime. Entire vehicle architectures are being reshaped continuously to enable the application of AI across a broad swath of functions, prompting increasing investment into technologies that were ... » read more

Top-Down Vs. Bottom-Up Chiplet Design


Chiplets are gaining widespread attention across the semiconductor industry, but for this approach to really take off commercially it will require more standards, better modeling technologies and methodologies, and a hefty amount of investment and experimentation. The case for chiplets is well understood. They can speed up time to market with consistent results, at whatever process node work... » read more

Managing The Huge Power Demands Of AI Everywhere


Before generative AI burst onto the scene, no one predicted how much energy would be needed to power AI systems. Those numbers are just starting to come into focus, and so is the urgency about how to sustain it all. AI power demand is expected to surge 550% by 2026, from 8 TWh in 2024 to 52 TWh, before rising another 1,150% to 652 TWh by 2030. Commensurately, U.S. power grid planners have do... » read more

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