40 PCB Design Tips Every Designer Should Know: eBook


This eBook details 40 essential PCB design tips, organized by 5 sections: Project Planning, Requirements, and Documentation Placement, Floorplanning, and Mechanical Integration Power, Grounding and Thermal Signal Integrity and High-Speed Routing Manufacturability, Test and Reliability Read more here.   » read more

What Designers Need to Know About UALink for Scalable AI Systems


As AI workloads rapidly scale, interconnect performance, latency, and memory access become critical bottlenecks. This white paper explores how the UALink protocol enables high-speed, low-latency, and secure GPU-to-GPU communication, unlocking scalable AI architectures beyond traditional limits. Key Takeaways: Learn how UALink enables efficient GPU memory pooling at scale Understand U... » read more

Blog Review: Feb. 25


Cadence's Mick Posner introduces the Foundational Chiplet System Architecture, a specification that aims to deliver a vendor and CPU-neutral architecture, common system partition guidelines, and a shared vocabulary and set of standards for system-level and interface definitions between chiplets. Synopsys' Scott Knowlton explains why LPDDR6 represents a big step forward in memory management c... » read more

Purpose-Built Tools for Connected Design


Modern semiconductor design is a massive, data-driven effort—often involving terabytes of files and globally distributed teams. Yet many organizations still rely on disconnected workflows and generic version control tools not designed for the scale or complexity of chip development. These fragmented systems slow innovation, reduce efficiency, and make collaboration increasingly difficult. ... » read more

Blog Review: Feb. 18


Synopsys' Raja Tabet anticipates deployment of an agentic AI workforce within the next 12 to 24 months that can take on different engineering personas, such as a digital implementation agent, a verification agent, or an analog agent, to run experiments in parallel, generate and triage tests, and propose fixes. Cadence's Reela Samuel dives into power usage effectiveness in data centers and wh... » read more

Can A Computer Science Student Be Taught To Design Hardware?


Key Takeaways New approaches are being devised and tested to address the talent shortage. Leveraging AI in design tools will help engineers become more efficient, and potentially could reduce the time it takes to train engineering students. EDA companies are looking at whether it's possible to train computer science and software engineers to become hardware engineers. A vari... » read more

The Race Begins For Much Bigger Abstractions In Data Centers


Key Takeaways Data center build-out is enabling much larger and more complex abstractions. Competition is building for digital/virtual twins across multiple industry segments, including automotive, aerospace, and chip manufacturing. AI, and particularly AI agents, will play a significant role in sorting through data to find potential trouble spots. The frenzy of new data cen... » read more

Formal Verification First: How AI Supports But Cannot Replace It


At a recent VLSI-D panel, industry leaders explored one of the most pressing topics in silicon design today — the intersection of AI-powered EDA, which is revolutionizing chip design for tomorrow. Ashish Darbari, CEO of Axiomise, questioned the panelists on the role of AI in chip design, optimizing PPA, validation and verification. While the panel explored the role of AI in design implemen... » read more

Blog Review: Feb. 4


Siemens' Tova Levy examines thermal management in 3D-IC, including why heat behaves differently in vertical stacks and how to analyze and manage thermal risk earlier and more predictably to ensure a design can meet performance, reliability, and time-to-market targets. Cadence's Reela Samuel finds that known-good-die strategies, standardized die-to-die test access, and vertical reliability mo... » read more

The Verification Conundrum


When constrained random test pattern generation became the de facto way to verify designs, reference models became necessary to check that a design was producing the correct output. These were often distributed across several models, such as checkers, scoreboards and assertions. Another model that had to be created was the coverage model. It was required because you had to know if a generate... » read more

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