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TPU Runtime Prediction Using GNNs

Competition and Link

Google kaggle competition on TPU performing metrics.
Link to the competition.

Description of Project

For this project, we participated in a Kaggle competition that was organized by Google. The goal of the competition was to predict the time that a model would run for based on the configurations and parameters used.

Repo Organization

The repo is organized in the following manner:

  • Results: contains the csv files output by the model, which are required for the submission.
  • Code: contains the notebooks and Python files required to train and test the model.
  • Plots: contains plots that were used for the presentation.
  • Summary: contains the draft and final version of the write-up.

Code

A big part of the project was understanding the provided notebooks. We took Google's intro files, along with files provided by other participants, and created a spliced version them to form our training/testing notebook.

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Google kaggle competition on TPU performing metrics

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