Tag: EDA

The generative artificial intelligence (AI) transformation is driving unprecedented demand for chips that are required to train and run increasingly sophisticated machine learning (ML) models. In response, the semiconductor industry is designing advanced node chips that are more complex and have more transistors than ever before. For instance, the latest Nvidia Blackwell 4nm chip contains […]

Electronic Design Automation (EDA) tools are critical for designing silicon chips. In the cloud, pay-per-use mechanisms are the norm, but this traditionally isn’t the case for EDA licensing which can limit organizations’ ability to scale EDA on AWS. Synopsys Cloud Bring Your Own Cloud (BYOC) with FlexEDA is a groundbreaking solution that addresses this need. […]

The emergence of generative AI presents tremendous opportunities for advancing technical and business processes in high tech and semiconductor industries. From optimizing complex system design processes to accelerating time-to-market for new products, generative AI has unlimited potential to improve engineering and manufacturing methodologies and processes. Generative design methodologies powered by AI can automatically design chips […]

Using advanced node technology to successfully manufacture a chip is getting harder as chip geometries continue to shrink. Electronic Design Automation (EDA) consumes more compute, storage, and time. Giving your engineers more time to iterate and find bugs in the design and verification phases will result in saving millions in re-spins and lost revenue. Further […]

The iFood finance department originally used a monolithic application, which was slow to develop new functionalities. Switching to an event-oriented architecture not only accelerated development but also added resilience and performance to its financial middleware. The iFood finance department has a platform called Digital by You (DBY) that helps food lovers (approximately 100,000 iFood employees) […]

In this blog, we discuss the benefits of using open-source electronic design automation (EDA) software, which is required for designing integrated circuits. We also discuss why AWS is the best platform to do open-source chip design and an effective means to collaborate and enable academia and chip design teams with a lower budget to design […]

Single cell RNA sequencing data has a growing role in disease research for finding both potential genetic factors and paths to new treatments. An important component of this process involves building maps of sequencing data with dimensionality reduction tools and querying specific subsets for visualization, but this can be slow due to the size of […]

Introduction The Semiconductor Industry is working to establish Environmental, Social, and Corporate Governance (ESG) standards with the help of science-based targets. As a result, there is an increasing demand to collect and understand operational and product related data for accounting, reporting and optimization. Businesses are now looking to assume responsibility for their products across their […]

Introduction Electronic Design Automation (EDA) workloads have traditionally run on-premises on a combination of latest and older generation compute servers. The performance penalty of running Electronic Design Automation (EDA) on older generation hardware is often neglected in discussions and Total Cost of Ownership (TCO) models. With EDA license costs greatly exceeding IT spend in silicon […]

Shift left – a path to faster and better SOC quality A revolution is happening in the chip design industry. A revolution that allows projects to finish earlier, with fewer bugs, while budget stays in control. In this article, I’ll share my personal view on a few related bottlenecks that directly affect time to market […]