What we will be addressing#

  • Give an overview on possible solutions to speed up simple numerical calculations.

  • Overcome Pythons main limitations here

  • Prepare a strategy for scaling an execution model

We will be using a simple numerical formula to create a notable workload. It’s very well suited to do scaling experiments and let’s you focus on the main possible issues.

  • The dataset can be arbitrarily large

  • Code is very simple an compact

  • Runtime is varying drasticallly depending on the inputs

  • It’s a classical benchmark

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Fig. 3 Executive Summary for Management, Credit: pxfuel.com#