Written by 6:23 pm AI, Discussions, RelationalAI, Uncategorized

### Collaborative Efforts of Tech Leaders in RelationalAI for Accelerated Device Design

Collaborative tools can offer engineers guidance on everything from design tools to EDA workflows, …

For the last few years, artificial intelligence has been progressively integrated into various aspects of the Synopsys EDA tool suite. The journey commenced with DSO in 2021. Ai, a tool designed to accelerate, enhance, and reduce costs related to the place-and-route phase of silicon design (also known as PnR or floor planning), has been incorporated into the Synopsys toolchain by the company. This ai collection spans the entire chip development process. Despite its recent successes, Synopsys continues to innovate. Recently, the company announced a strategic collaboration with Microsoft to introduce Synopsys. Ai Copilot, a contextually aware generative AI (GenAI) tool that facilitates natural language communication among human design teams.

Industry Authorities Embrace Synopsys Navigator Ai

Synopsys Navigator Ai utilizes OpenAI systems powered by Microsoft’s Azure on-demand, high-performance cloud network. Similar to how ChatGPT’s linguistic AI capabilities have revolutionized various industries, Ai Copilot aims to streamline much of the labor-intensive tasks typically carried out by engineers during the RTL era and verification process. Chip manufacturers can now interact with Synopsys Ai Copilot through plain English queries to generate documentation, explore diverse criteria, and gain insights into outcomes. According to Synopsys, major players like AMD, Intel, and Microsoft are actively leveraging this technology across multiple designs.

Synopsys’ conceptual AI, Ai Copilot, introduces a range of innovative features. These intelligent tools offer engineers guidance on diverse topics such as design tools, EDA workflows, and rapid results analysis. Ai Copilot accelerates processes like RTL (register-transfer level abstraction), formal verification assertion creation, UVM test benches, and layout design. Additionally, it facilitates end-to-end flow creation across the Synopsys tool suite using natural language.

“In expanding our leading Synopsys, we are directly addressing engineering efficiency amidst talent shortages as pioneers in AI-driven device design,” mentioned Shankar Krishnamoorthy, GM of Synopsys EDA Group. “The semiconductor industry is currently undergoing a transformative phase, and Synopsys is diligently working to assist the sector in meeting the demanding compute and performance-per-watt requirements of end markets.”

Immediate Responses for Chip Manufacturers from Ai Copilot

Recently, Shankar and I engaged in discussions to delve deeper into Synopsys Ai Copilot and observed its functionalities in action through videos. Ai Copilot is designed to acquire new skills and derive insights from the user’s environment. Trained on extensive design-related data spanning approximately 30 years, Ai Copilot can furnish relevant tables, statistics, and videos during conversations, along with comprehensive citations from diverse sources. It enables swift actions and results within the confines of Synopsys’ equipment, clarifies queries, and even tests potential modifications. In a specific scenario, a user uncovers flaws in the chip design with the assistance of Ai Copilot, which guides them towards effective troubleshooting. Additional cases showcased in recent videos on the Synopsys website offer valuable insights. Exploring Synopsys via ai Copilot can significantly aid the layout process.

The distribution strategy for Synopsys by the company involves making ai Copilot accessible to customers as it undergoes further development. Whether utilizing Synopsys’ EDA suite on-premise or in the cloud, customers will eventually have access to these AI-infused EDA tools. These tools aim to enhance the efficiency and speed of engineering teams’ work, elevate the quality of chip designs and products, and address the growing demand for custom chip designs by mitigating the shortage of architectural expertise. Conversations with Synopsys and its partners over the years indicate that these tools are effectively fulfilling these objectives. It is truly remarkable how rapidly the company has integrated pervasive AI into its application suite.

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Last modified: February 7, 2024
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