Magma introduces Fast Monte Carlo analysis

Magma Design Automation has announced the availability of Finesim Fast Monte Carlo, an alternative to traditional Monte Carlo analysis.

Finesim Fast Monte Carlo is claimed to allow more accurate statistical analysis, as much as 100 times faster than traditional Monte Carlo methods.

Most engineers are said to rely heavily on statistical methods such as traditional Monte Carlo analysis for design reliability, an approach that has limitations and making accurate analysis almost impossible.

Finesim Fast Monte Carlo uses dynamic error-controlled algorithms along with statistical techniques to provide improvement in speed and accuracy compared to traditional Monte Carlo statistical analysis.

The algorithms in Finesim Fast Monte Carlo, coupled with Magma's native-parallel technology, are said to improve throughput for statistical simulations.

Designers can use Finesim Fast Monte Carlo to 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.

It is available now for production use with Finesim Spice and Finesim Pro.

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