Physics-Aware AI Is The Key To Next Gen IC Design


Chip design projects are notorious for generating huge amounts of design data. The design process calls for a dozen or more electronic design automation (EDA) software tools to be run in sequence. Together, they write out hundreds of gigabytes of intermediate data on the way to creating a final layout for manufacturing. Traditionally, this has been seen as a problem. But this richness of data i... » read more

Comparing Thermal Properties In Molybdenum Substrate To Si And Glass For A System-On-Foil Integration (RIT, Lux)


A technical paper titled “Comparative Analysis of Thermal Properties in Molybdenum Substrate to Silicon and Glass for a System-on-Foil Integration” was published by researchers at Rochester Institute of Technology and Lux Semiconductors. Abstract: "Advanced electronics technology is moving towards smaller footprints and higher computational power. In order to achieve this, advanced packag... » read more

Using Formal Verification To Evaluate The HW Reliability Of A RISC-V Ibex Core In The Presence Of Soft Errors


A technical paper titled “Using Formal Verification to Evaluate Single Event Upsets in a RISC-V Core” was published by researchers at University of Southampton. Abstract: "Reliability has been a major concern in embedded systems. Higher transistor density and lower voltage supply increase the vulnerability of embedded systems to soft errors. A Single Event Upset (SEU), which is also calle... » read more

CAM-Based CMOS Implementation Of Reference Frames For Neuromorphic Processors (Carnegie Mellon U.)


A technical paper titled “NeRTCAM: CAM-Based CMOS Implementation of Reference Frames for Neuromorphic Processors” was published by researchers at Carnegie Mellon University. Abstract: "Neuromorphic architectures mimicking biological neural networks have been proposed as a much more efficient alternative to conventional von Neumann architectures for the exploding compute demands of AI work... » read more

Chip Industry Week In Review


JEDEC and the Open Compute Project rolled out a new set of guidelines for standardizing chiplet characterization details, such as thermal properties, physical and mechanical requirements, and behavior specs. Those details have been a sticking point for commercial chiplets, because without them it's not possible to choose the best chiplet for a particular application or workload. The guidelines ... » read more

DAC Panel Could Spark Fireworks


Panels can often become love fests. While a title may sound controversial, it turns out that everyone quickly finds that all the panelists agree on the major points. This is sometimes the result of how the panel was put together – the proposal came from one company, and they wanted to get their customers or clients onto the panel. They are unlikely to ask a major competitor to be part of the ... » read more

Vision Is Why LLMs Matter On The Edge


Large Language Models (LLMs) have taken the world by storm since the 2017 Transformers paper, but pushing them to the edge has proved problematic. Just this year, Google had to revise its plans to roll out Gemini Nano on all new Pixel models — the down-spec’d hardware options proved unable to host the model as part of a positive user experience. But the implementation of language-focused mo... » read more

RISC-V Heralds New Era Of Cooperation


RISC-V is paving the way for open source to become accepted within the hardware community, creating a level of industry collaboration never seen in the past, while revitalizing the connection between academia and industry. The big question is whether this arrangement is just a placeholder while the industry re-learns how to develop processors, or whether this processor architecture is someth... » read more

Turbocharging Cost-Conscious SoCs With Cache


Some design teams creating system-on-chip (SoC) devices are fortunate to work with the latest and greatest technology nodes coupled with a largely unconstrained budget for acquiring intellectual property (IP) blocks from trusted third-party vendors. However, many engineers are not so privileged. For every “spare no expense” project, there are a thousand “do the best you can with a limited... » read more

AI-Powered Data Analytics To Revolutionize The Semiconductor Industry


In the age where data reigns supreme, the semiconductor industry stands on the cusp of revolutionary change, redefining complexity and productivity through a lens crafted by artificial intelligence (AI). The intersection of AI and the semiconductor industry is not merely an emerging trend—it is the fulcrum upon which the next generation of technological innovation balances. Semiconductor comp... » read more

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