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Visualizing Simulation Results with Jupyter #8

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@ehein6

Me

Eric Hein


Abstract

In my research, I often want to explore a design space, sweeping out several parameter values to see which one delivers the best performance across a suite of trials. Extracting insight from hundreds of simulator output files is time consuming and error-prone. Visualizing the results of many experiments at once is the fastest way to validate the results and get feedback from my research group. In this talk I will showcase my end-to-end solution for visualizing simulation results with Jupyter notebook. The pandas and seaborn libraries are used to interactively generate paper-ready plots that are automatically labeled with the correct parameter names from the source data.

In this short talk, audience members with a basic understanding of plotting in Jupyter will learn how to streamline the process of extracting, labeling, and visualizing data from raw text files.


Affiliation

Georgia Institute of Technology

About Me

Eric is an ECE PhD student at Georgia Tech. His research in computer architecture involves designing near-memory accelerators for dynamic graph processing.

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