category: Top Stories

category: IoT, Security & Automotive

Chiplet Tradeoffs And Limitations
By Ann Mutschler - 10 Apr, 2025 - Comments: 0

The semiconductor industry is buzzing with the benefits of chiplets, including faster time to market, better performance, and lower power, but finding the correct balance between customization and standardization is proving to be more difficult than initially thought. For a commercial chiplet marketplace to really take off, it requires a much deeper understanding of how chiplets behave indiv... » read more

Implementing AI Activation Functions
By Bryon Moyer - 10 Apr, 2025 - Comments: 1

Activation functions play a critical role in AI inference, helping to ferret out nonlinear behaviors in AI models. This makes them an integral part of any neural network, but nonlinear functions can be fussy to build in silicon. Is it better to have a CPU calculate them? Should hardware function units be laid down to execute them? Or would a lookup table (LUT) suffice? Most architectures inc... » read more

3D-IC Ecosystem Starts To Take Form
By Brian Bailey - 10 Apr, 2025 - Comments: 0

The adoption of chiplets is inevitable, but exactly when a mass migration toward this design approach will begin is yet to be determined. Nevertheless, some of the biggest technological and business-related barriers are being addressed. And while a chiplet-based design remains beyond the economic reach of many companies today, that is starting to change. Early signs of an emerging ecosystem ... » read more

3D-IC For The Masses
By Brian Bailey - 13 Mar, 2025 - Comments: 1

The concepts of 3D-IC and chiplets have the whole industry excited. It potentially marks the next stage in the evolution of the IP industry, but so far, technical difficulties and cost have curtailed its usage to just a handful of companies. Even within those, they do not appear to be seeing benefits from heterogeneous integration or reuse. Attempts to make this happen are not new. "A decade... » read more

Chiplets Add New Power Issues
By Ann Mutschler - 13 Mar, 2025 - Comments: 0

Delivering and managing power are becoming key challenges in the rollout of chiplets, adding significantly to design complexity and forcing chipmakers to weigh tradeoffs that can have a big impact on the performance, reliability, and the overall cost of semiconductors. Power is a concern for every chip and chiplet design, even if the specifics differ based on the application. Systems vendors... » read more

Integrating Data From Design, Manufacturing, And The Field
By Adam Kovac - 13 Mar, 2025 - Comments: 0

Chip design is starting to include more options to ensure chips behave reliably in the field, boosting the ability to tweak both hardware and software as chips age. The basic problem is that as dimensions become smaller, and as more features are added into devices — especially with heterogeneous assemblies of chiplets running some type of AI — the potential for thermally induced structur... » read more

What Scares Chip Engineers About Generative AI
By Adam Kovac - 26 Feb, 2025 - Comments: 0

Experts At The Table: LLMs and other generative AI programs are a long way away from being able to design entire chips on their own from scratch, but the emergence of the tech has still raised some genuine concerns. Semiconductor Engineering sat down with a panel of experts, which included Rod Metcalfe, product management group director at Cadence; Syrus Ziai, vice-president of engineering at E... » read more

Signal Integrity Plays Increasingly Critical Role In Chiplet Design
By Ann Mutschler - 13 Feb, 2025 - Comments: 1

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

Normalization Keeps AI Numbers In Check
By Bryon Moyer - 13 Feb, 2025 - Comments: 0

AI training and inference are all about running data through models — typically to make some kind of decision. But the paths that the calculations take aren’t always straightforward, and as a model processes its inputs, those calculations may go astray. Normalization is a process that can keep data in bounds, improving both training and inference. Foregoing normalization can result in at... » read more

What Exactly Is Multi-Physics?
By Brian Bailey - 13 Feb, 2025 - Comments: 1

Multi-physics is the new buzzword in semiconductor design and analysis, but the fuzziness of the term is a reflection of just how many new and existing problems need to be addressed simultaneously in the design flow with advanced nodes and packaging. This disaggregation of planar SoCs and the inclusion of more processing elements, memories, interconnects, and passives inside a package has cr... » read more

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