The Importance of Cloud Computing for EDA | Synopsys Cloud
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The importance of cloud computing has evolved drastically over the last decade and greatly accelerated in the past three years. With the exponential production of data in the 21st century, organizations and individuals now have taken to the cloud for analysis. By adopting cloud computing into their operational workflows, these organizations have efficiently driven innovation and increased profit margins.


EDA Adoption and the Cloud

Although many industries have recently flocked to the cloud, the EDA industry has proven more tentative. The main reason for hesitancy has been the on-site legacy infrastructure they have invested in.

For these organizations, beginning with a hybrid cloud environment that temporarily incorporates on-premises workflows might be a good idea.

EDA tools contain incredibly large files. Thus, a major budgetary consideration when moving this data is bandwidth. Advanced methods of compressing and optimizing data have reduced the transfer between the cloud and the end users. Instead of transferring emulation files, tools can also utilize an API to concurrently process data without dumping everything onto a disk. 


The Importance of Cloud Computing for EDA Workflows

Cloud computing is immensely important for chip designers and other organizations seeking to expand business, increase economic and environmental sustainability, and innovate. To fully understand the importance of cloud computing, it is useful to analyze how it aids chip design.

 

Increased Throughput

The cloud offers increased throughput leading to faster results. Taking time to verify silicon IPs is important, but it requires heavy compute and capacity resources for the various design and verification stages. Utilizing legacy on-premises compute capacity can bottleneck EDA development when verifying their IP, an issue the cloud can solve.

 

Scalability

Cloud computing has inherent scalability with far-reaching benefits. In the past, the processing power of on-campus computers limited organizations. With the cloud, this limitation no longer exists. Businesses can easily increase their computational power available for simulations and modeling. Delivering twice the computer capacity at an ever-decreasing cost is a key benefit for the semiconductor industry. 

 

Adaptability

Cloud computing allows for strong adaptability. The IC design process requires significant resources for verification and the design tape-out section. Multiple stages of various IP development within a company can result in resource bottlenecking. Cloud computing can fluctuate to scale-up available resources at necessary times. 

 

Manufacturing Yields

The cloud offers a single source of truth for disseminating data used to store, analyze and infer data from the foundry. Manufacturers can use this information to predict performance and manage resources within the semiconductor supply chain. This process results in better manufacturing yields. AI and ML can also help with fault detection through imaging and smart tools.

 

Industry Growth

The concept of the cloud and its applications are experiencing immense industry growth. Although the cloud has been around for a while, specifically in the past decade has cloud computing become the giant that it is. Even more, the industry involving the cloud continues to grow. AI, machine learning, and big data analytics can increase chip manufacturing throughput. 

 

Innovation

A major importance of cloud computing is its ability to drive innovation. Relying on outdated technology can hold an enterprise back. Adopting more flexible technology allows enterprises to experiment with new solutions, resulting in lowered costs and accelerated time-to-market.

Security

Adopting a cloud model can allow for stronger security, as many cloud service providers (CSPs) employ data protection standards. The semiconductor industry particularly contains ample business critical sensitive information requiring IP protection. Cloud providers dedicate immense resources to creating security protocols that meet regulatory requirements at lower costs for security. 

 

Accessibility

With the number of existing smartphones, Cloud accessibility is now simpler than ever and another key importance of cloud computing. Individuals who are not currently in the corporate office can connect and stay up to date remotely through the cloud. 

 

Flexibility

Infrastructure is inherently more flexible on the cloud. Access to multiple servers, nodes, and computing power creates a future-proof model. The on-demand ability to increase available computing power can only be completed through the power of cloud computing. 

 

Freedom of Resource Personnel

Businesses have finite personnel resources. If IT personnel must constantly deal with data-storage issues and pre-existing problems, they cannot focus on business development, customer relations, or company expansion. With the cloud, an outside organization hosts and maintains computational infrastructure. As a result, you’ll be able to free your resources for more important tasks.

 

Cost

Although migration may induce some up-front costs, the cloud is more cost-effective in the long term. Some organizations fear the initial costs of cloud-based computing, but the ROI potential is a significant advantage.

 

Deployment Models

Utilizing the cloud allows for many deployment models. Whether you rely on a public, private, hybrid, or multi-cloud model, you can customize the cloud to best meet your needs.

 

Disaster Recovery

Data is inherently safer on the cloud, as it provides better disaster recovery. Housing your data on-premises can lead to unforeseen occurrences resulting in valuable data lost.


The Importance of Cloud Computing: Summary

The cloud is ready to provide solutions for security, flexibility, and scalability for EDA and the semiconductor industry. With the cloud, chip design teams can more reliably meet their time-to-market goals. The semiconductor industry is constantly under pressure to innovate and produce high-performing chips. Leveraging cloud-ready EDA-optimized solutions is a critical tool for teams hoping to meet the demand for accelerated IP design development cycles. 


Synopsys, EDA, and the Cloud

Synopsys is the industry’s largest provider of electronic design automation (EDA) technology used in the design and verification of semiconductor devices, or chips. With Synopsys Cloud, we’re taking EDA to new heights, combining the availability of advanced compute and storage infrastructure with unlimited access to EDA software licenses on-demand so you can focus on what you do best – designing chips, faster. Delivering cloud-native EDA tools and pre-optimized hardware platforms, an extremely flexible business model, and a modern customer experience, Synopsys has reimagined the future of chip design on the cloud, without disrupting proven workflows.

 

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About The Author

Gurbir Singh is group director, Cloud Engineering, at Synopsys. He has a demonstrated history of leadership in the software industry. In his current role, he leads the development of the Synopsys Cloud product, which enables customers to do chip design on the cloud using EDA-as-a-Service (SaaS) as well as flexible pay-per-use models. Gurbir has run organizations to develop cloud SaaS products, machine learning applications, AI/ML platforms, enterprise web applications, and high-end customer applications. He is experienced in building world- class technology teams. Gurbir has a master’s degree in computer science, along with patents and contributions to publications. 

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