How to use Techila Distributed Computing Engine with MATLAB and Data

Marko Koskinen from the Techila Technologies' Support Team presents the basics of implementing Techila features to speed up a MATLAB code, which uses data. Real-world scenarios can be found for example in Monte Carlo simulation, risk analytics, model calibration and fitting, backtesting, or development of advanced machine learning algorithms.

Techila Distributed Computing Engine enables fast and scalable MATLAB parallel simulation and analysis without the complexity of traditional high-performance computing.