Synopsys touts smart ‘DesignDash’ to help speed up chip projects

Many chip design teams use in-house developed tools or a combination of vendor tools to manage the development workflow. Now, Synopsys applies ML and big data analysis to inform a comprehensive dashboard to improve productivity and the end-to-end design process.

Every chip design team has probably watched this movie: After months of hard work designing a new product, the team suddenly lost the recipe, and the latest simulation strays from the steady progress the team has made towards the tape-out. What went wrong? And how can the team recover quickly to meet the schedule?

To help teams avoid a sequel to this all-too-common experiment, Synopsys announced DesignDash, a new platform that can streamline the design management of complex SoCs. DesignDash is an add-on product to Synopsys’ digital design family and Synopsys DSO.ai, providing complete visibility of project data and ML-guided design optimization to improve project productivity and predictability.

What is Design Dash?

In effect, DesignDash does for the design process what Synopsys’ Silicon Lifecycle Management tool, Silicon Dash, does for post-deployment asset management. It provides a 360-degree view of all design activity for faster decision-making and a deeper understanding of run-to-run, design-to-design, and project-to-project trends in data automatically generated from previous and current experiences.

With customers facing massive growth in system complexity, shrinking market windows, and an increasingly challenging resource landscape, Synopsys has embarked on a multi-year, multidisciplinary approach to solving the problem. Think of it this way: DesignDash will help find the best mountain ranges (design problem spaces) to address and improve, while DSO.ai will find the highest mountain in that range to optimize power, performance and the surface. And instead of writing and maintaining custom tools, design teams can focus on task #1: building better products.

According to Synopsys, the cloud-optimized design solution Synopsys DesignDash improves productivity by:

  • Provide extensive design status in real time through powerful visualizations and interactive dashboards.
  • Deployment of deep analytics and machine learning to extract and reveal actionable insight from vast volumes of structured and unstructured EDA metrics and tool flow data.
  • Quickly classify design trends, identify design limitations, provide guided root cause analysis, and deliver prescriptive consumable flow resolutions.

Does it work?

“As a leading provider of SoCs that power and transform many high-impact industries, we pride ourselves on being able to push the boundaries of achievable device performance while accelerating time to market for our customers,” said Hiroshi Ikeda, Director, Methodology Development Office, Global Development Group at Socionext. “We are very excited that the Synopsys DesignDash analytics solution provides a systematic way to capture, use and evaluate our vast design activity in a scalable way, allowing us to share and transfer knowledge from experts on our global design teams to improve productivity and efficiency. ”

conclusion

Synopsys continues to provide state-of-the-art tools to help customers focus on design work, support design process management, design optimization, and ongoing lifecycle management to improve quality. and product durability in the field. We continue to be impressed with the global role the company envisions for itself under the leadership of co-CEO Aart of Geus, and the company’s innovative approach to supporting design teams in IC management. complex. They have some serious competition, sure, but Synopsys continues to knock the ball out of the park.

Disclosures: This article expresses the opinions of the author and should not be considered advice on buying or investing in the companies mentioned. Cambrian AI Research is fortunate to have many, if not most, semiconductor companies among its clients, including Blaize, Cerebras, D-Matrix, Esperanto, Graphcore, GML, IBM, Intel, Mythic, NVIDIA, Qualcomm Technologies , Si-Five, Synopsys, and Tentorrent. We have no investment position in any of the companies mentioned in this article and do not expect to initiate any in the near future. For more information, please visit our website at https://cambrian-AI.com.

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