FineSim Fast Monte Carlo, Magma explained, uses proprietary dynamic error-controlled algorithms along with statistical techniques to improve speed and accuracy compared to traditional Monte Carlo statistical analysis.

And combined with Magma's native-parallel technology, the algorithms FineSim Monte Carlo enhance throughput for statistical simulations, the Californian company noted.

"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," stated Anirudh Devgan, general manager of Magma's Custom Design Business Unit.

"FineSim Fast Monte Carlo was developed to address these issues with greater accuracy and predictability."

In parallel, Magma announced the availability of its Tekton static timing analysis platform that is claimed to deliver fast multi-scenario analysis on a single CPU.