ETFOptimize | High-performance ETF-based Investment Strategies

Quantitative strategies, Wall Street-caliber research, and insightful market analysis since 1998.


ETFOptimize | HOME
Close Window

Cadence Expands Collaboration with TSMC and Microsoft to Accelerate Timing Signoff for Giga-Scale Designs on the Cloud

Highlights:

  • Customers benefit from improved productivity and scalability with Cadence signoff solutions and TSMC technology on the Microsoft Azure cloud with the Cadence CloudBurst Platform
  • Cadence Tempus Timing Signoff Solution demonstrated distributed scalability on a 10+ billion transistor design while reducing compute costs for maximum efficiency

Cadence Design Systems, Inc. (Nasdaq: CDNS) today announced the results of the 2021 three-way collaboration with TSMC and Microsoft, which focused on utilizing a cloud infrastructure to accelerate digital timing signoff of 10+ billion transistor designs. These large designs are the heart of advanced applications such as hyperscale computing, graphics and machine learning (ML) applications. Given the enormous size of these designs, engineering teams are constantly challenged to meet schedule and compute budget. Through this collaboration, common customers can accelerate their signoff schedule and reduce compute cost by adopting the Cadence® Tempus Timing Signoff Solution and TSMC technologies using the ready-to-use Cadence CloudBurst Platform and Microsoft Azure Cloud.

For details on the collaboration, a new white paper is available immediately for customer download at TSMC-Online at https://online.tsmc.com/online/. This white paper contains cloud scaling strategies focused on distributed execution, detailed illustrations of the Cadence Tempus Timing Signoff Solution cloud execution, sample scripts, Cadence CloudBurst reference architecture and Microsoft’s Azure Cloud IT best practices.

“Semiconductor designers are consistently pushing the boundaries to create increasingly large designs, and it’s critical for design teams to meet their tight product schedules,” said Suk Lee, vice president of the Design Infrastructure Management Division at TSMC. “Over the past year, our close collaboration with Cadence and Microsoft through the TSMC OIP Cloud Alliance has given our mutual customers access to our advanced technologies, Cadence signoff solutions and cloud portfolio as well as Microsoft’s Azure platform to seamlessly handle giga-scale designs and quickly launch their differentiated products to market.”

Mujtaba Hamid, general manager, Silicon, Modeling & Simulation at Microsoft Azure added, “Microsoft’s Azure Cloud platform is enabling HPC customers to push the limits on what is possible for demanding scenarios like silicon design signoff. Our collaboration with Cadence and TSMC continues to pave the path for accelerating silicon design through the cloud, enabling the industry to deliver the highest quality products and achieve time-to-market goals.”

Timing Signoff in the Cloud of Giga-scale Designs

To address signoff of giga-scale designs, the Cadence Tempus Timing Signoff Solution features a massively parallel architecture, known as distributed static timing analysis (DSTA). DSTA is production-proven in the cloud on large-scale TSMC advanced-node tapeouts and provides the scalability necessary to signoff the world’s largest designs. Using DSTA, Cadence demonstrated a methodology that minimized compute cost and completed timing signoff for a 10+ billion transistor design in hours versus days when compared with a traditional non-distributed STA approach. For customers who want to focus on design excellence and PPA gains rather than expending effort on IT setup and securing a cloud environment, the Cadence CloudBurst platform provides a ready-to-use, EDA-optimized and secure cloud environment for a full design flow or peak demand requirements for specific functions such as timing signoff.

“Through our continued collaboration with TSMC and Microsoft, we’re setting new industry benchmarks and improving customers’ ability to meet their schedules by adopting the Tempus Timing Signoff Solution in the cloud,” said Dr. Chin-Chi Teng, senior vice president and general manager of the Digital & Signoff Group at Cadence. “The scalability of our software on the cloud and our ready-to-use Cadence CloudBurst environment enables our customers to efficiently manage the most time-sensitive and demanding semiconductor design projects.”

The Cadence Tempus Timing Signoff Solution is part of the broader full flow digital suite, which provides customers with a predictable and accelerated path to design closure. 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, which enables customers to achieve system-on-chip (SoC) design excellence.

About Cadence

Cadence is a pivotal leader in electronic design, building upon more than 30 years of computational software expertise. The company applies its underlying Intelligent System Design strategy to deliver software, hardware and IP that turn design concepts into reality. Cadence customers are the world’s most innovative companies, delivering extraordinary electronic products from chips to boards to systems for the most dynamic market applications, including consumer, hyperscale computing, 5G communications, automotive, mobile, aerospace, industrial and healthcare. For seven years in a row, Fortune magazine has named Cadence one of the 100 Best Companies to Work For. Learn more at cadence.com.

© 2021 Cadence Design Systems, Inc. All rights reserved worldwide. Cadence, the Cadence logo and the other Cadence marks found at www.cadence.com/go/trademarks are trademarks or registered trademarks of Cadence Design Systems, Inc. All other trademarks are the property of their respective owners.

Category: Featured

Cadence announced the results of the 2021 three-way collaboration with TSMC and Microsoft, which focused on utilizing a cloud infrastructure to accelerate digital timing signoff of 10+ billion transistor designs. #hyperscale #graphics #ML

Contacts

Stock Quote API & Stock News API supplied by www.cloudquote.io
Quotes delayed at least 20 minutes.
By accessing this page, you agree to the following
Privacy Policy and Terms Of Service.


 

IntelligentValue Home
Close Window

DISCLAIMER

All content herein is issued solely for informational purposes and is not to be construed as an offer to sell or the solicitation of an offer to buy, nor should it be interpreted as a recommendation to buy, hold or sell (short or otherwise) any security.  All opinions, analyses, and information included herein are based on sources believed to be reliable, but no representation or warranty of any kind, expressed or implied, is made including but not limited to any representation or warranty concerning accuracy, completeness, correctness, timeliness or appropriateness. We undertake no obligation to update such opinions, analysis or information. You should independently verify all information contained on this website. Some information is based on analysis of past performance or hypothetical performance results, which have inherent limitations. We make no representation that any particular equity or strategy will or is likely to achieve profits or losses similar to those shown. Shareholders, employees, writers, contractors, and affiliates associated with ETFOptimize.com may have ownership positions in the securities that are mentioned. If you are not sure if ETFs, algorithmic investing, or a particular investment is right for you, you are urged to consult with a Registered Investment Advisor (RIA). Neither this website nor anyone associated with producing its content are Registered Investment Advisors, and no attempt is made herein to substitute for personalized, professional investment advice. Neither ETFOptimize.com, Global Alpha Investments, Inc., nor its employees, service providers, associates, or affiliates are responsible for any investment losses you may incur as a result of using the information provided herein. Remember that past investment returns may not be indicative of future returns.

Copyright © 1998-2017 ETFOptimize.com, a publication of Optimized Investments, Inc. All rights reserved.