AI, Product Lifecycle Management, Market Dynamics: Q&A With Jay Vleeschhouwer Of Griffin Securities 


In the world of EDA, Jay Vleeschhouwer, managing director of software research at Griffin Securities, needs no introduction. His presentation on the State of EDA is standing room only at the yearly Design Automation Conference (DAC). He recently agreed to a discussion with me where we talked about AI and EDA, an interesting development with product lifecycle management and global dynamics af... » read more

AI In The IC Equipment Ecosystem


AI is playing an increasingly critical role in improving semiconductor equipment and processes, which are necessary as the industry moves to advanced manufacturing processes. This requires more steps, tighter integration and analysis of those various steps, and better optimization of tools. David Fried, corporate vice president at Lam Research, talks about how to accelerate the development of A... » read more

Transformers At The Edge: Efficient LLM Deployment


Since the groundbreaking 2017 publication of “Attention Is All You Need,” the transformer architecture has fundamentally reshaped artificial intelligence research and development. This innovation laid the foundation for Large Language Models (LLMs) and Video Language Models (VLMs), fueling a wave of productization across the industry. A defining milestone was the public launch of ChatGPT in... » read more

That’s Not A DSP!


In the 1986 hit comedy movie "Crocodile Dundee," the title character – a rough and tumble Australian transported to the mean streets of New York City – is confronted by street thugs brandishing a switchblade knife who demand his wallet. In response he cooly smirks and pulls a knife out of his belt that is 10 times the size of the would-be assailants’ weapon and delivers the signature line... » read more

Designing The AI Factories: Unlocking Innovation With Intelligent IP


The rapid evolution of artificial intelligence (AI) is reshaping the technological landscape, driving unprecedented demands on computing infrastructure. At the heart of this transformation lie innovations in intellectual property (IP) that enable scalable, efficient, and performance-driven AI factories. These advancements are central to addressing the technical challenges of modern AI workloads... » read more

Can Today’s Processor Architectures Be More Efficient?


For years, processors focused on performance, and that performance had little accountability to anything else. Performance still matters, but now it must be accountable to power. If small gains in performance result in disproportionate power gains, designers may need to discard such improvements in favor of more power-efficient ones. Although current architectures undergo a steady cadence of... » read more

Report: The AI Efficiency Boom


Artificial Intelligence (AI) is undergoing a fundamental transformation. While early AI models were large, compute-heavy, and dependent on cloud processing, a new wave of efficiency-driven innovations is moving AI inference—the generation of model results—to the edge. Smaller models, improved memory and compute performance, and the need for privacy, low latency, and energy efficiency are dr... » read more

AI In Chip Design: Tight Control Required


Executive Outlook: Semiconductor Engineering sat down with a panel of experts to talk about what's needed to effectively leverage AI, who benefits from it, and where software-defined hardware works best, with Bill Mullen, Ansys fellow; John Ferguson, senior director of product management at Siemens EDA; Chris Mueth, senior director of new markets and strategic initiatives at Keysight; Albert Ze... » read more

Cognichip: Using AI To Speed Complex Chip Design


AI software innovation is accelerating, while the chip design process is struggling to keep pace due to rising complexity and physical constraints. The big challenge now is how to close that gap. The solution is at least as complex as the hardware design. It requires much greater reuse of IP, along with portions of existing designs, so that not everything needs to be created from scratch. AI... » read more

Data Center CPU Dominance Is Shifting To AMD And Arm


Fig. 1: Created by ChatGPT from a text prompt. The data center processor market has seen two major tectonic shifts in the last decade. It used to be that all data center compute was x86, and well more than 90% of that was Intel. GPUs first appeared in the data center in 2016 (Pascal GPU). Now, the majority of computation is done on GPUs. AMD is looking to pass Intel in x86 share, and... » read more

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