Cloud-based EDA will be the key to innovative and rapid SoC design
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Simultaneous mega-trends are shaping many industries, from aerospace and defense, automotive and high tech to healthcare and others. These include 5G, Autonomous Vehicles, Industrial Internet of Things (IIoT), Electrification, Large Scale Computing, and Artificial Intelligence / Machine Learning (AI / ML) . Add the cloud to the mix, and we have another generational disruption that has driven business over the past decade and has been further accelerated by our current global situation, changing the way we work, live, communicate and play. . The opportunities of the cloud go far beyond flexible ubiquitous access.
Over the past decade, the move to cloud computing has occurred primarily in industries like retail and finance, with the advent of major cloud providers such as Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform and others accelerating the trend. In the field of electronic design automation (EDA), until recently, traditional concerns about security, intellectual property (IP) and data protection outweighed the significant benefits offered by electronic design. cloud computing, such as flexibility, scalability, and productivity.
That is changing and the value of the cloud in each of these industries is driving the need for smart systems. We now see that the only way to create such systems is to use cloud-enabled computing tools and methods. These are the “systems” that generate the need for massively parallel computing with almost linear performance growth and virtually unlimited scalability while maintaining the highest level of precision. These results are only possible in the cloud. With the industry’s leading foundries embracing the cloud and recognizing the security of cloud infrastructure by placing their process design kits (PDKs) in the cloud, security concerns have generally diminished.
Many companies involved in EDA and system development – from electronics to mechanical design – increasingly recognize the transformative power of cloud and cloud computing to deliver rapid innovation to their end consumers, enabling users to come up with new business models that would not have been possible before.
New startups driving innovation in emerging industries such as electrification are at the forefront of adopting the cloud as a way to collaborate globally, innovate at lightning speed and compress traditional notions of product life cycles from decades to years, whether it’s a new electric vehicle or an eVTOL. These companies are proving to the entire EDA and systems space that the cloud is more than a delivery mechanism. The cloud is an accelerator of innovation, business reinvention and meteoric growth.
To innovate faster in a digital transformation scenario, the five key pillars of innovation in a business – people, data, processes, technology and tools – are being reinvented more effectively through widespread adoption of the cloud. . Advances in hyperscalers make this transformation even more seamless for businesses of all sizes, from small and medium businesses to large enterprises, systems and mid-size businesses. The question of cloud adoption is therefore not about cost savings or even technology per se, but about a fundamental transformation of the business model that companies can achieve to better serve their end customers.
Collaboration, innovation and cloud computing
In the EDA space, enterprises can benefit from cloud collaboration seamlessly across groups and geographies, accelerating innovation from the chip level to the systems level. Chip designers can instantly collaborate on complex chip and SoC designs and communicate in real time with their mechanical counterparts through ECAD-MCAD collaboration in the cloud.
Dynamic real-time collaboration in these two key areas enables many organizations to deliver the most complex next-generation cyber-physical products and systems that are at the heart of current generational trends. Industry leadership must take steps towards a next generation cloud platform that enables this seamless collaboration between different disciplines, from chip level to systems level, from electronics to mechanical fields, thus enabling true digital twin.
Beyond internal collaboration, industry collaboration is simplified and accelerated via the cloud. Collaboration in the cloud brings together the foundry team, the design team and the EDA team for the adoption, proliferation and advanced support of process nodes. Machine learning (ML) is now required to overcome technical complexity and EDA tool flow for processes below 7nm. And the cloud provides the compute throughput needed for these ML workloads.
See also: Bright prospects for EDA in the cloud
The cloud as a computer
The theoretically unlimited computing capacity in the cloud is another driver of this innovation brought by the cloud. As many large companies have invested in on-premise server farms and now find it more economical to continue operating locally, there is a growing realization that a simple cost comparison is too short.
Thinking long term and reimagining how the move to the cloud will transform their businesses and end customers over the next 5, 10 or 15 years is going to reshape the dynamics of EDA going forward. Small and midsize businesses are already increasingly migrating to the cloud to take advantage of the unlimited compute capacity that helps them deliver complex SoCs in months rather than years, while collaborating seamlessly between teams. distributed remotely.
This trend will accelerate in the years to come, and we are seeing users adapt to this reality. But they require a seamless transition to the cloud, new business models in the cloud, with more sophisticated collaboration capabilities.
With the move to the cloud comes the challenges of optimizing a company’s computing needs in the cloud to not only control costs, but also democratize innovation across the enterprise. Those taking advantage of cloud-based EDA are increasingly demanding of the prevalent retail business models to run anything from logic simulation to the most complex chip emulation to even the most complex chip emulation. large multiphysics simulations on demand.
While the last decade was mainly devoted to the transformation of retail through the cloud, the next decade will be devoted to the transformation of electronic and mechanical systems businesses due to cloud computing.
– Mahesh Turaga is Vice President of Cloud Business Development at Cadence Design Systems, Inc.