FineSim Fast Monte Carlo

FineSim Fast Monte Carlo is a revolutionary new alternative to traditional Monte Carlo analysis, making it possible to achieve much more accurate statistical analysis in a fraction of the time required by traditional methods. Analysis today relies 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.

• Improved Statistical Methods: FineSim Fast Monte Carlo uses proprietary dynamic error controlled algorithms along with sophisticated statistical techniques to provide dramatic speedup and accuracy versus traditional Monte Carlo statistical analysis. It has shown as much as 100 times better runtime when the results were compared to other commercial methods – with better accuracy.
• Improved Performance and Throughput: These algorithms coupled with our native-parallel technology will improve throughput for statistical simulations even further. FineSim Fast Monte Carlo makes statistical analysis practical for many different applications. This will allow users to significantly improve the overall confidence in the statistical analysis.
  
  

FineSim Fast Monte Carlo works with both FineSim SPICE and FineSim Pro. Further speedup can be achieved by taking advantage of Magma’s scalable Native Parallel architecture.