NXP Semiconductors selects Amazon Cloud Technology as the preferred cloud service provider to support electronic design automation on the cloud

Amazon Cloud Technology announced that NXP Semiconductors NV has officially selected Amazon Cloud Technology as the preferred cloud service provider to migrate most of the Electronic design automation (EDA) workloads from local data centers to the Amazon cloud platform. Relying on the industry’s leading cloud platform, NXP has improved the efficiency and competitive advantage of advanced semiconductor design and verification to meet the customized semiconductor requirements of automotive electronics, industrial Internet of Things (IoT), mobile devices and communications infrastructure businesses. NXP uses Amazon Cloud Technology’s comprehensive global infrastructure and service capabilities in the fields of high-performance computing (HPC), storage, analysis, and machine learning to enhance collaboration among dozens of design centers around the world and the efficiency of EDA, and through computing The elastic expansion of resources reduces costs and minimizes project scheduling risks. Thanks to Amazon Cloud Technology’s almost unlimited cloud resources, NXP’s engineering developers do not need to spend energy managing computing resources, but can devote more time to innovation.

With the help of Amazon Cloud Technology, NXP hopes to obtain long-term process improvements and reshape the way semiconductors are designed and tested. Before NXP manufactures new chips, extensive testing and verification of the designed products are required through the EDA process to ensure complete and reliable functions, high quality and high performance. NXP’s complex EDA workflow includes front-end design, performance simulation and verification, as well as back-end workloads such as timing and power analysis, design rule checking, and chip production preparation. In the past, semiconductor companies ran these iterative processes in local data centers with fixed computing power. Because each development cycle requires massive computing power and the complexity of chip design continues to increase, unless additional computing infrastructure can be accurately predicted and deployed. Otherwise, it may take months or even years to produce a new product. However, after adopting Amazon Cloud Technology to support its EDA process, NXP has gained the scale, computing power and agility to simultaneously promote multiple projects on demand, without considering the complexity of the project, and can run dozens of performance simulations concurrently, thereby shortening Time to get results.

In order to better manage the scale and complexity of its design work, NXP relies on the data analysis and machine learning services of Amazon Cloud Technology to continuously improve the R&D workflow. By adopting Amazon QuickSight, a cloud business intelligence service supported by Amazon Cloud Technology’s machine learning, more powerful engineering and operational insights can be obtained to help improve workflow efficiency. For example, by quickly using the results of one test step to improve another step, NXP shortens the time it takes for chip design iterations. NXP also uses the Amazon SageMaker service that helps developers and data scientists quickly build, train, and deploy machine learning models on the cloud and edge to optimize the way it builds computing, storage, and third-party software application licenses. To support the development work, NXP is building a data lake on the Amazon cloud platform using the storage service Amazon Simple Storage Service (Amazon S3) and the data extraction, transformation and loading service Amazon Glue.

NXP also uses a series of dedicated instances of high-performance computing from Amazon Cloud Technology to further optimize the EDA workflow. This series of dedicated examples can meet the unique requirements of each design project while achieving high cost performance. NXP uses Amazon FSx for Lustre to provide cost-effective, high-performance, and scalable storage for computing workloads such as EDA, save PB-level design simulation data, and make it quickly used for analysis.

Olli Hyyppa, Chief Information Officer and Senior Vice President of NXP Semiconductors, said: “We believe that in this world where more and more devices and infrastructure are connected, cloud-based EDA is useful for accelerating semiconductor innovation and accelerating the launch of new design products. Supporting an increasingly digital world is crucial. Amazon Cloud Technology provides us with the scale expansion capabilities, global deployment, computing and storage resources, and continuous optimization of cost-effective advantages. We are very happy to deepen our cooperation with Amazon Cloud Technology and obtain With cloud capability support for next-generation EDA workloads, our design engineers can also refocus on innovation and lead the transformation of the semiconductor industry.”

Dave Brown, vice president of elastic computing cloud business at Amazon Cloud Technology, said: “Amazon Cloud Technology is committed to becoming a builders community, and this cooperation with NXP enables builders to work in an extremely efficient environment and gain all The necessary infrastructure and necessary capabilities. By migrating EDA workloads to the Amazon cloud platform, NXP’s design and developers can obtain better tools to collaborate on cross-regional semiconductor design and development. This will also help NXP manufacturing More chips will support innovation in the Internet of Things, connected cars and other fields. I am very happy to be able to empower the cutting-edge innovations in the semiconductor industry. As chip designs go to the cloud on a large scale, we are full of expectations for the industry’s innovation prospects.”

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