Capturing Knowledge Within LLMs


At DAC this year, there was a lot of talk about AI and the impact it is likely to have. While EDA companies have been using it for optimization and improving iteration loops within the flow, the end users have been concentrating on how to use it to improve the user interface between engineers and tools. The feedback is very positive. Large language models (LLMs) have been trained on a huge a... » read more

Droop And Silent Data Corruption


By Aakash Jani and Lee Vick Let me set the scene. You are a child psychologist (played by, let’s say, Bruce Willis for illustrative purposes), and you are sitting next to a frightened kid. He turns to you and whispers, “I see dead bits.” Okay, I grant you that’s not exactly the quote, but data center operators are seeing transient errors at an alarming rate, and at scale. These error... » read more

Here At Last! Automated Verification Of Heterogeneous 2D/3D Package Connectivity


By Michael Walsh and Jin Hou with Todd Burkholder The heterogeneous integration of multiple ICs in a single package along with high-performance, high-bandwidth memory is critical for many high-performance computing applications. After everything has been heterogeneously integrated and packaged, such designs feature complex connectivity with many hundreds of thousands of connections, making i... » read more

Enhancing RTL Design Efficiency: The Power And Benefits Of Integrated Development Environments


In today's rapidly evolving semiconductor design landscape, efficiency and productivity are integral to success. It is here that Integrated Development Environments (IDEs) are making a significant impact. These software suites are much more than programming environments where designers input text or code. They represent a comprehensive ecosystem of tools, utilities, and functionalities, all des... » read more

Insights From The AI Hardware & Edge AI Summit


By Ashish Darbari, Fabiana Muto, and Nicky Khodadad In today's rapidly changing technology landscape, artificial intelligence (AI) is more than a buzzword. It is transforming businesses and societies. From advances in scalable AI methodology to urgent calls for sustainability, the AI Hardware & Edge AI Summit recently held in London, sparked vibrant discussions that will determine the fu... » read more

Why SoC Designers Need Purpose-Built Semiconductor IP Catalog Tools


Semiconductor intellectual property (IP) management, reuse, and change tracking are essential for efficiently creating chip designs based on proven building blocks, reducing your time-to-market, and maintaining good reputations throughout their lifetimes. Unfortunately, many SoC teams attempt to use existing tools like Git for these essential tasks, even though they are unsuitable and inconv... » read more

Debugging SystemVerilog Constraint Randomization: A Comprehensive Guide


SystemVerilog constraint randomization is a powerful methodology for generating realistic and diverse test scenarios in the realm of hardware design verification. However, like any complex methodology, it can sometimes be challenging to debug when an unexpected issue arises. In this article, we will explore common debug techniques and strategies to help you effectively troubleshoot your SystemV... » read more

Optimizing Interconnect Topologies For Automotive ADAS Applications


Designing automotive Advanced Driver Assistance Systems (ADAS) applications can be incredibly complex. State-of-the-art ADAS and autonomous driving systems use ‘sensor fusion’ to combine inputs from multiple sources, typically cameras and optionally radar and lidar units to go beyond passive and active safety to automate driving. Vision processing systems combine specialized AI accelerators... » read more

The Value Of Innovation


This week's Design Automation Conference is all about the new things that are going on in the industry, both challenges and opportunities. By this time this blog goes live, I will have moderated a panel about why EDA has not been open to disruption. While preparing for that, a number of thoughts emerged in my mind. First, we have to remember that EDA is a business whose role is to support th... » read more

Language’s Role In Embodied Agents


Large Language Models (LLMs) and models cross-trained on natural language are a major growth area for edge applications of neural networks and Artificial Intelligence (AI). Within the spectrum of applications, embodied agents stand out as a major developing focal point for this AI. This article will address developments in this space and how the application of language-trained models improves t... » read more

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