LPDDR Memory Is Key For On-Device AI Performance


Low-Power Double Data Rate (LPDDR) emerged as a specialized high performance, low power memory for mobile phones. Since its first release in 2006, each new generation of LPDDR has delivered the bandwidth and capacity needed for major shifts in the mobile user experience. Once again, LPDDR is at the forefront of another key shift as the next wave of generative AI applications will be built into ... » read more

Powering Next-Generation Insightful Design


The Ansys team is gearing up for an exciting time at DAC this week, where we’ll be sharing a whole new way of visualizing physical phenomena in 3D-IC designs, powered by NVIDIA Omniverse, a platform for developing OpenUSD and RTX-enabled 3D applications and workflows. Please attend our Exhibitor Forum session so we can show you the valuable design insights you can gain by interactively viewin... » read more

Why PCIe 7.0 Over Optics


By Keivan Javadi Khasraghi and Ruben Sousa Data centers are currently facing the increasing need to enhance their bandwidth capacities. This surge is largely driven by the rise of new technologies, especially the growing demand for AI and machine learning applications. As these technologies advance, bandwidth requirements are projected to expand dramatically. As Large Language Models (LLMs) ... » read more

Validation Of Smart Sensors For AI-Based Condition Monitoring In Industry


By André Schneider and Martin Lehmann Industry has challenging requirements for the quality and reliability of the distributed smart sensors used in condition monitoring. As a result of digitalization and the increasing use of AI-based monitoring solutions, we can expect an increase in demand for systematic, efficient design and validation processes. In the future, a product’s journey fro... » read more

KANs Explode!


In late April 2024, a novel AI research paper was published by researchers from MIT and CalTech proposing a fundamentally new approach to machine learning networks – the Kolmogorov Arnold Network – or KAN. In the six weeks since its publication, the AI research field is ablaze with excitement and speculation that KANs might be a breakthrough that dramatically alters the trajectory of AI mod... » read more

Understanding Scandump: A Key Silicon Debugging Technique


Scandump is an advanced silicon debugging technique that ingeniously repurposes DFT (Design For Testability) scan chains for functional debugging. This method allows for the extraction of states from registers or latches that are stitched into the scan chains, providing critical diagnostic insights. Scandump is particularly invaluable when the CPU is deadlocked or when the system hardware bec... » read more

PCIe 7.0 Takes Center Stage At PCI-SIG DevCon ’24


From the simplest building blocks like GPIOs to the most advanced high-speed interfaces, IP subsystems are the lifeblood of the chipmaking ecosystem. A key enabler for IP has been the collaboration between industry and academia in the creation of standards and protocols for interfaces. PCI-SIG drives some of the key definitions and compliance specifications and ensures the interoperability of i... » read more

Margin Sensors In The Wild


Back in March, I wrote up an article here that looked at how a proxy circuit could be used to measure variations in circuit performance as conditions changed in the operating environment. There were a couple of recent presentations on margin sensors at two of the big EDA vendors' customer engineering forums that we’ll look at as well as another product with an upcoming presentation at DAC. Ma... » read more

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

High-Level Synthesis Propels Next-Gen AI Accelerators


Everything around you is getting smarter. Artificial intelligence is not just a data center application but will be deployed in all kinds of embedded systems that we interact with daily. We expect to talk to and gesture at them. We expect them to recognize and understand us. And we expect them to operate with just a little bit of common sense. This intelligence is making these systems not just ... » read more

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