https://github.com/alan-turing-institute/vecma_workshop_tutorial
Python files for the VECMA mogp_emulator tutorial
https://github.com/alan-turing-institute/vecma_workshop_tutorial
earthquakes hut23 hut23-231 hut23-232 uncertainty-quantification
Last synced: about 2 months ago
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Python files for the VECMA mogp_emulator tutorial
- Host: GitHub
- URL: https://github.com/alan-turing-institute/vecma_workshop_tutorial
- Owner: alan-turing-institute
- License: mit
- Created: 2020-01-14T11:53:50.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2021-01-06T18:02:26.000Z (over 4 years ago)
- Last Synced: 2025-01-12T22:41:59.860Z (3 months ago)
- Topics: earthquakes, hut23, hut23-231, hut23-232, uncertainty-quantification
- Language: Dockerfile
- Homepage:
- Size: 789 KB
- Stars: 1
- Watchers: 5
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Vecma Workshop Tutorial
Files for the VECMA/`mogp_emulator` tutorial.
## Overview
This repository contains documents describing a tutorial written for
the "Reliability and reproducibility in computational science: Implementing
verification, validation and uncertainty quantification in silico" workshop
held at the Alan Turing Institute on 24 January, 2020. It builds on
two software libraries written as part of two projects developing
tools for performing Uncertainty Quantification for computational science
tools: [Verified Exascale Computing for Multiscale Applications](https://www.vecma.eu) (VECMA),
funded by the European Union’s Horizon 2020 research and innovation programme
under grant agreement No 800925, and two
[Uncertainty Quantification](https://www.turing.ac.uk/research/research-projects/uncertainty-quantification-multi-scale-and-multi-physics-computer-models)
[projects](https://www.turing.ac.uk/research/research-projects/uncertainty-quantification-black-box-models)
funded by EPSRC grant EP/N510129/1HA to the Alan Turing Institute.
## Installation
The software and simulations covered by the tutorial can be accessed
most easily using the Dockerfile provided in this repository. Please follow
the instructions provided in the [docker_installation.md](docker_installation.md)
to access and run the docker image.
## Software Used in this Tutorial
* [mogp_emulator](https://github.com/alan-turing-institute/mogp-emulator),
a software library for performing surrogate model based Uncertainty
Quantification on complex computer simulations
* [FabSim3](https://github.com/djgroen/FabSim3), a simulation management
tool to support reproducible computational workflows
* [fabmogp](https://github.com/alan-turing-institute/fabmogp), a FabSim3
plugin to perform the simulations described in the tutorial
* [fdfault](https://github.com/edaub/fdfault), a high performance
finite difference code for performing dynamic earthquake rupture simulations.