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Rocket Speed to Python using Techila Distributed Computing Engine and Google Cloud Platform

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This video tutorial shows how to implement Techila distributed computing in an existing Python code, and run it on the Google Cloud Platform.
The Python application used in this tutorial is a financial option pricing application that uses Monte Carlo simulations.
If we run this code on a local PC, the application will run between 7 hours. When using Techila Distributed Computing Engine, we get the work done in just 2 minutes.
The demo in this a computing environment which has been started using Techila's fully automatic deployment tools. The environment in this demo consists of 256 CPU cores on the Google Cloud Platform.
The Python application used in this tutorial is a financial option pricing application that uses Monte Carlo simulations.
If we run this code on a local PC, the application will run between 7 hours. When using Techila Distributed Computing Engine, we get the work done in just 2 minutes.
The demo in this a computing environment which has been started using Techila's fully automatic deployment tools. The environment in this demo consists of 256 CPU cores on the Google Cloud Platform.