https://github.com/paulromano/intel-openmc-test

Reactor benchmark test problems and scripts to run them
https://github.com/paulromano/intel-openmc-test

Last synced: about 2 months ago
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Reactor benchmark test problems and scripts to run them

• Host: GitHub
• URL: https://github.com/paulromano/intel-openmc-test
• Owner: paulromano
• Created: 2015-08-13T06:18:03.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2016-02-17T19:17:07.000Z (almost 9 years ago)
• Last Synced: 2023-03-12T07:57:23.158Z (almost 2 years ago)
• Language: Shell
• Size: 8.79 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.rst

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README

        
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Reactor Benchmark Problem for OpenMC Testing

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**Prerequisites**: Fortran compiler, CMake, git, Python 2.7+

This repository contains four versions of the Hoogenboom-Martin pressurized

water reactor benchmark problem. Two versions use the original material

specification from the benchmark (small), and two other versions use a modified

version where the fuel material includes over 400 nuclides (large). For each of

the small and large models, there are two variants with and without tallies.

*Note*: The final case (large-tallies) requires over 3 GB of memory and as a

result may not run on some systems.

There are three scripts that can be used to set up OpenMC and its required cross

section data, run the test problems, and collect results. The scripts are as

follows:

1. ``setup`` -- a bash shell script which 'git clone's the OpenMC repository

   from GitHub, uses a Python script within the OpenMC distribution to download

   cross section data, and then uses CMake along with a Fortran compiler to

   build the OpenMC executable

2. ``run-tests`` -- a bash shell script which uses the downloaded cross sections

   and the OpenMC executable to run the four different test cases

3. ``collect-results`` -- a bash shell script which determines the performance

   of each of the four test cases and displays it. The measure used is the

   number of particles simulated per second during active batches.