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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

Automotive OEMs Focus On SDVs, Zonal Architectures


Giant automotive OEMs are re-evaluating how quickly to move to advanced technologies and software-driven designs amid crushing financial pressure from low-cost EVs developed in other markets such as China. U.S., European, and Japanese OEMs have been struggling for the past half-decade or so to figure out which is the best approach to developing EVs, undergoing multiple shifts in both hardwar... » read more

Chiplets Make Progress Using Interconnects As Glue


Breaking up SoCs into their component parts and putting those and other pieces together in some type of heterogeneous assembly is beginning to take shape, fueled by advances in interconnects, complex partitioning, and industry learnings about what works and what doesn't. While the vision of plug-and-play remains intact, getting there is a lot more complicated than initially imagined. It can ... » read more

Mass Customization For AI Inference


Rising complexity in AI models and an explosion in the number and variety of networks is leaving chipmakers torn between fixed-function acceleration and more programmable accelerators, and creating some novel approaches that include some of both. By all accounts, a general-purpose approach to AI processing is not meeting the grade. General-purpose processors are exactly that. They're not des... » read more

Managing Legacy In Automotive


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, software defined vehicle concepts, just to name a few. Semiconductor Engineering sat down to discuss these and other related issues with Wayne Lyons, senior dir... » read more

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