Parallel Computing with Joblib and Plotting with Seaborn

Speaker : Quentin Lutz
Nokia Bell Labs France
Date: 30/10/2019
Time: 10:30 am - 12:00 pm
Location: Doctoral Training Center (EIT Digital)


When in need of benchmarking an algorithm, running said algorithm on a given – likely wide – range of parameters is usually required. In order to speed up this process, parallel computing may be used. I will detail how Joblib enables such computations for CPU-only tasks with minimal overhead to the code.

Once those computations are over, visualisation follows. To this end, I will introduce Seaborn, a PyPlot-based alternative to Matplotlib featuring refreshed visuals and enhanced interoperability with the Pandas package.

Download the files.