Bengaluru, Magma® Design Automation Inc. (Nasdaq: LAVA), a provider of chip design software, today announced the availability of FineSim™ Fast Monte Carlo, a revolutionary new alternative to traditional Monte Carlo analysis. FineSim Fast Monte Carlo makes it possible to achieve much more accurate statistical analysis as much as 100 times faster than traditional Monte Carlo methods.
Most engineers today rely heavily on statistical methods such as traditional Monte Carlo analysis for design reliability, an approach that has limitations making accurate analysis almost impossible. FineSim Fast Monte Carlo uses proprietary dynamic error-controlled algorithms along with sophisticated statistical techniques to provide dramatic improvement in speed and accuracy compared to traditional Monte Carlo statistical analysis. It has shown as much as 100 times better runtime when compared to other commercial methods, with superior accuracy.
As engineers continue to push their products into more advanced process technologies, the need for improved reliability becomes even more critical. But the increasing number of process parameters and parasitic variability make it virtually impossible to predict accurate statistical yield analysis, reliability and failure analysis, said Anirudh Devgan, General Manager of Magmas Custom Design Business Unit. FineSim Fast Monte Carlo was developed to address these issues with greater accuracy and predictability.
The algorithms in FineSim Fast Monte Carlo, coupled with Magmas native-parallel technology, improve throughput for statistical simulations even further. FineSim Fast Monte Carlo makes statistical analysis practical for many different applications. Several key customers have tested FineSim Fast Monte Carlo option on their memory, custom digital, and mixed-signal designs, and they are very excited about its performance and accuracy of results, Devgan said.
Designers can use FineSim Fast Monte Carlo to dramatically improve the speed of statistical analysis, enabling statistical analysis on designs that would previously have been infeasible. Fast Monte Carlo can also improve the accuracy of statistical analysis on a given number of statistical samples, providing users improved overall confidence in the analysis.
Availability
FineSim Fast Monte Carlo is available now for production use with FineSim SPICE and FineSim Pro for fast, accurate statistical circuit analysis.
Notes to Editor
About Magma
Magmas electronic design automation (EDA) software provides the Fastest Path to Silicon™ and enables the worlds top chip companies to create high-performance integrated circuits (ICs) for cellular telephones, electronic games, WiFi, MP3 players, digital video, networking and other electronic applications. Magma products are used in IC implementation, analog/mixed-signal design, analysis, physical verification, circuit simulation and characterization. The company maintains headquarters in San Jose, Calif., and offices throughout North America, Europe, Japan, Asia and India. Magmas stock trades on Nasdaq under the ticker symbol LAVA. Follow Magma on Twitter at www.Twitter.com/MagmaEDA and on Facebook at www.Facebook.com/Magma. Visit Magma Design Automation on the Web at
Magma is a registered trademark and Fastest Path to Silicon and FineSim are trademarks of Magma Design Automation Inc. All other product, company and institution names are trademarks or registered trademarks of their respective owners.
Forward-looking Statements:
Except for the historical information contained herein, the matters set forth in this press release, including statements that FineSim Fast Monte Carlo offers faster runtime, are forward-looking statements within the meaning of the safe harbor provisions of the Private Securities Litigation Reform Act of 1995. These forward-looking statements are subject to risks and uncertainties that could cause actual results to differ materially, including but not limited to the ability of Magma products and services to produce the desired results and the companys ability to keep pace with rapidly changing technology. Further discussion of these and other potential risk factors may be found in Magmas public filings with the Securities and Exchange Commission (www.sec.gov). The company undertakes no additional obligation to update these forward-looking statements.
