Magma Expands Statistical Timing Analysis Methodology for More Robust Design

Quartz-SSTA-Based Methodology Supports Intra-Cell Variations, Statistical Leakage, Worst-Scenario Extraction and Statistical Optimization


SAN JOSE, Calif., June 25, 2007 (PRIME NEWSWIRE) -- Magma(r) Design Automation Inc. (Nasdaq:LAVA), a supplier of semiconductor design software, today announced an enhanced statistical static timing analysis (SSTA) methodology that is tuned to TSMC's 65-nanometer (nm) process. The methodology is based on Magma's Quartz(tm) SSTA and expands the capabilities offered in TSMC Reference Flow 7.0. This advanced methodology now supports global (inter-die) and random (intra-cell) process variations, composite current source (CCS) models, statistical leakage analysis and statistical optimization as validated in TSMC Reference Flow 8.0. In addition, TSMC now provides Magma with rules to enable statistical extraction and worst-scenario RC analysis. The two companies have worked together for nearly two years developing and qualifying this methodology. The benefits include reduced risk, improved quality of results (QoR), more robust designs, faster turnaround time and a vastly simplified sign-off flow.

"Magma's Quartz SSTA is closely coupled with TSMC's process technology, and provides the accuracy designers need to account for both process and metal variations," said Kam Kittrell, general manager of Magma's Design Implementation Business Unit. "In addition, Quartz SSTA is fully integrated into the Magma IC implementation flow, making the physical implementation engines variability-aware. Having this powerful capability built into the flow improves QoR and accelerates and simplifies timing closure and sign-off."

"Magma's method of addressing process variation is highly effective for designers working at 65nm and below," said Kuo Wu, deputy director of design service marketing at TSMC. "Our collaboration with Magma on statistical static timing analysis provides an advanced methodology that is tightly integrated into the design flow."

About the Statistical Timing Analysis Methodology

Traditional static timing analysis (STA) approaches do not scale to the 65nm node. STA, which relies on brute-force corner and highly guard-banded on-chip variation (OCV) analysis and derives timing based on pessimistic and worst-case gate and interconnect models, is overly conservative and inaccurate. It is also unable to account for process and metal variations, causing designers to sign off on designs that may ultimately fail in silicon. This unreliable approach results in lower performance and longer, more costly design cycles.

Quartz SSTA supplements traditional sign-off methods with powerful and accurate statistical static timing analysis. It uses random variables rather than fixed delays and produces a statistical distribution, rather than best-case and worst-case models. It can account for global and random process variations, worst-scenario metal variations, and automatically identify clocks nets, timing paths, cells, and metal layers that are sensitive to variation. Utilizing the unified data model architecture, Quartz SSTA then works seamlessly in conjunction with Magma's IC implementation system to automatically fix timing problems that result from variation. With this process-variability-aware IC implementation flow, pessimism is eliminated, predictability is enhanced, and timing closure and sign-off can be achieved faster and easier.

About Magma

Magma's software for integrated circuit (IC) design is recognized as embodying the best in semiconductor technology. The world's top chip companies use Magma's EDA software to design and verify complex, high-performance ICs for communications, computing, consumer electronics and networking applications, while at the same time reducing design time and costs. Magma provides software for IC implementation, analysis, physical verification, characterization and programmable logic design, and the company's integrated RTL-to-GDSII design flow enables designers to "Design Ahead of the Curve"(tm). Magma is headquartered in San Jose, Calif. with offices around the world. Magma's stock trades on Nasdaq under the ticker symbol LAVA. Visit Magma Design Automation on the Web at www.magma-da.com.

Magma is a registered trademark and Quartz and "The Fastest Path from RTL to Silicon" are trademarks of Magma Design Automation. All other product and company names are trademarks and registered trademarks of their respective companies.

Forward-looking Statements:

Except for the historical information contained herein, the matters set forth in this press release, including statements that the SSTA methodology addresses timing and yield problems caused by process variation, that Quartz SSTA eliminates pessimism, enhances predictability and enables timing closure and sign-off to be achieved faster and easier and generally about the features and benefits of Magma software and TSMC's process technology 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 TSMC's and Magma's abilities to keep pace with rapidly changing technology, the companies' products' abilities to produce desired results and the companies' decisions to continue working together. Further discussion of these and other potential risk factors may be found in Magma's public filings with the Securities and Exchange Commission (www.sec.gov). Magma undertakes no additional obligation to update these forward-looking statements.

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