Power Budgets Optimized By Managing Glitch Power


“Waste not, want not,” says the old adage, and in general, that’s good advice to live by. But in the realm of chip design, wasting power is a fact of physics. Glitch power – power that gets expended due to delays in gates and/or wires – can account for up to 40% of the power budget in advanced applications like data center servers. Even in less high-powered circuits, such as those fou... » read more

2025: So Many Possibilities


The stage is set for a year of innovation in the chip industry, unlike anything seen for decades, but what makes this period of advancement truly unique is the need to focus on physics and real design skills. Planar scaling of SoCs enabled design and verification tools and methodologies to mature on a relatively linear path, but the last few years have created an environment for more radical... » read more

AI Won’t Replace Subject Matter Experts


Experts at The Table: The emergence of LLMs and other forms of AI has sent ripples through a number of industries, raising fears that many jobs could be on the chopping block, to be replaced by automation. Whether that’s the case in semiconductors, where machine learning has become an integral part of the design process, remains to be seen. Semiconductor Engineering sat down with a panel of e... » read more

Is In-Memory Compute Still Alive?


In-memory computing (IMC) has had a rough go, with the most visible attempt at commercialization falling short. And while some companies have pivoted to digital and others have outright abandoned the technology, developers are still trying to make analog IMC a success. There is disagreement regarding the benefits of IMC (also called compute-in-memory, or CIM). Some say it’s all about reduc... » read more

Chiplet Interconnects Add Power And Signal Integrity Issues


The flexibility and scalability offered by chiplets make them an increasingly attractive choice over planar SoCs, but the rollout of increasingly heterogeneous assemblies adds a variety of new challenges around the processing and movement of data. Nearly all of the chiplets in use today were designed in-house by large systems companies and IDMs. Going forward, third-party chiplets will begin... » read more

Where Is The Software For Shift Left?


Co-development of hardware and software has been a dream for a long time, but significant hurdles remain. Neither domain is ready with what the other requires at the appropriate time. The earlier something can be done in a development flow, the less likely problems will be found when they are more difficult or expensive to fix. It may require both tool and methodology changes, so that a proc... » read more

Aging, Complexity, And AI In Analog Design


Experts at the Table: Semiconductor Engineering sat down to discuss abstraction in analog vs. digital, how analog circuits age, the growing role of AI, and why there is so much margin in analog designs, with Mo Faisal, president and CEO of Movellus; Hany Elhak, executive director of product management at Synopsys; Cedric Pujol, product manager at Keysight; and Pradeep Thiagarajan, principal pro... » 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

Shift Left Is The Tip Of The Iceberg


Shift left is evolving from a buzzword into a much broader shift in design methodology and EDA tooling, and while it's still early innings there is widespread agreement that it will be transformative. The semiconductor industry has gone through many changes over the past few decades. Some are obvious, but others happen because of a convergence of multiple factors that require systemic change... » read more

New AI Data Types Emerge


AI is all about data, and the representation of the data matters strongly. But after focusing primarily on 8-bit integers and 32‑bit floating-point numbers, the industry is now looking at new formats. There is no single best type for every situation, because the choice depends on the type of AI model, whether accuracy, performance, or power is prioritized, and where the computing happens, ... » read more

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