Cadence Collaborates with TSMC and Microsoft to Reduce Semiconductor Design Timing Signoff Schedules with the Cloud
Cadence Design Systems, Inc. (Nasdaq: CDNS) today announced the results of a three-way collaboration with TSMC and Microsoft focused on utilizing cloud infrastructure to reduce semiconductor design signoff schedules. Through this collaboration, common customers will have an accelerated path to complete timing signoff by adopting the Cadence® Tempus Timing Signoff Solution and the Quantus Extraction Solution using TSMC technologies on the Microsoft Azure Cloud with the Cadence CloudBurst Platform.
- Collaboration provides an accelerated path for customers to complete timing signoff by adopting Cadence signoff solutions using TSMC technology on the Microsoft Azure cloud with the Cadence CloudBurst Platform
- Customers creating complex advanced-node designs benefit from improved productivity due to the scalable, elastic compute offered by the cloud
- Cadence Quantus Extraction Solution demonstrated near-linear scalability through 64 CPUs using multi-corner extraction
- Cadence Tempus Timing Signoff Solution demonstrated scalability on 150 machines for the fastest TAT and methods that reduce timing signoff machine costs by 2X
By moving to the cloud, users from all vertical markets can achieve a significant productivity improvement without the constraints of on-premise hardware.
For details on the collaboration, a white paper is available immediately for customer download at TSMC-Online (https://online.tsmc.com/). The white paper contains cloud scaling strategies, detailed illustrations of the Cadence Tempus Timing Signoff Solution and Quantus Extraction Solution cloud execution, sample scripts and Microsoft’s Azure cloud IT best practices.
“Semiconductor designers are meeting or exceeding their power and performance requirements using advanced process technology. However, the increasingly complex advanced-node signoff requirements make it challenging to meet tight product schedules,” said Suk Lee, senior director of the Design Infrastructure Management Division at TSMC. “Working with Microsoft and Cadence, our cloud alliance has harnessed the scalability of the cloud with Cadence timing signoff solutions to ensure that our common customers can beat their performance goals and accelerate time to market for their silicon innovations.”
Mujtaba Hamid, head of product management, Silicon, Electronics and Gaming at Microsoft Azure added, “Microsoft’s Azure Cloud platform is ideally suited for high-performance-compute (HPC) applications such as silicon design and signoff. We look forward to collaborating with Cadence and TSMC customers on their silicon HPC needs and enabling these customers to deliver the highest quality products and achieve their time-to-market goals.”
Timing Signoff in the Cloud
Both the Cadence Tempus Timing Signoff Solution and Quantus Extraction Solution feature massively parallel architectures that are optimal for use in the cloud. Utilizing unique distributed signoff technologies, the Tempus Timing Signoff Solution is production-proven in the cloud on large-scale TSMC advanced-node tapeouts.
“Through our continued collaboration with TSMC and Microsoft, we’re making it easy for customers to offload their Tempus Timing Signoff Solution and Quantus Extraction Solution workloads to the cloud and reap the full benefits of our scalable solutions,” said Dr. Chin-Chi Teng, Senior Vice President and General Manager of the Digital & Signoff Group at Cadence. “Customers creating the most complex designs for today’s emerging market segments can look to the cloud to streamline their processes and provide a competitive advantage.”
The Cadence Tempus Timing Signoff Solution and Quantus Extraction Solution are part of the broader full flow digital suite, which provides customers with a fast path to design closure and better predictability. The CloudBurst Platform provides fast and easy access to Cadence tools and is part of the broader Cadence Cloud Portfolio. The digital and cloud portfolios support the Cadence Intelligent System Design strategy that enables customers to achieve system-on-chip (SoC) design excellence.
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