CIMdata PLM Industry Summary Online Archive
25 June 2007
Product News
Magma Expands Statistical Timing Analysis Methodology for More Robust Design
Magma® Design Automation Inc. 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 QuartzT 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."
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