# resonanthpc

**Repository Path**: mirrors_Kitware/resonanthpc

## Basic Information

- **Project Name**: resonanthpc
- **Description**: HPC-Enabled Pre- and Post-Processing with Jupyter
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-08-09
- **Last Updated**: 2026-07-11

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# ResonantHPC

[![CI Testing](https://github.com/Kitware/resonanthpc/workflows/CI%20Testing/badge.svg)](https://github.com/Kitware/resonanthpc/actions?query=workflow%3A%22CI+Testing%22)

Please visit our website: [kitware.github.io/resonanthpc/](https://kitware.github.io/resonanthpc/)

ResonantHPC is designed to increase scientific productivity by providing HPC
capable pre-and-post processing for easier and faster turnaround and
integration with modern and next-generation simulation systems.
This system will extend the standard scientific computing environment
(Jupyter) so that researchers can prepare, execute, and analyze the results
of remote exascale-level simulation from their workstations.

ResonantHPC will:
* provide a data integration module that enables pulling data from
  heterogeneous sources as well as running required preprocessing.
* include a modeling interface that enables the user to generate
  an input mesh (through the execution of an external mesher) and
  to associate additional attributes to mesh elements.
* enable, through a simple user interface, the execution
  and monitoring of HPC jobs such as preprocessing, simulation and
  visualization modules.
* incorporate a leading parallel analysis and visualization module.
* run inside a web browser and provide both user interface and
  scripting access to its functionality.


## Acknowledgment

This material is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Acquisition and Assistance, under Award Number DE-SC0020503


## Project Team

- [Aashish Chaudhary](https://github.com/aashish24) - Kitware, Inc.
- [Bane Sullivan](https://github.com/banesullivan) - Kitware, Inc.
- [John Tourtellott](https://www.kitware.com/john-tourtellott/) - Kitware, Inc.
- [Dan Lipsa](https://www.kitware.com/dan-lipsa/) - Kitware, Inc.
- [David Moulton](https://github.com/jd-moulton) - Los Alamos National Laboratory
- [Dipankar Dwivedi](https://eesa.lbl.gov/profiles/dipankar-dwivedi/) - Lawrence Berkeley National Laboratory


## Software Utilized

The following are a list of the open-source software we are utilizing in this
effort.

- [ParaView](https://www.paraview.org)
- [Amanzi and ATS](https://amanzi.github.io)
- [Computational Model Builder](https://www.computationalmodelbuilder.org)
- [SMTK](https://smtk.readthedocs.io/en/latest/)
- [LaGriT](https://lanl.github.io/LaGriT/)
- [Project Jupyter](https://jupyter.org)


## Connections

In addition to this repository, several other tools are being developed for
this effort. Please take a look at these connected repositories:

- [`ipyvtk_simple`](https://github.com/Kitware/ipyvtk-simple)
- [`ipyparaview`](https://github.com/Kitware/ipyparaview)


## Project Concept and Goal

ResonantHPC is building a turnkey platform for model-data integration that
simplifies access to data and processing, simulation model input generation,
and validation across scientific computing workflows.
This project is focused on providing open-source tools to model input
generation, run models easily at scale, and then interactively visualize models
using world-class ParaView and Jupyter. Our current efforts are focused on
providing this workflow for the [Amanz/ATS](https://amanzi.github.io)
hydrological simulation software.

![workflow](docs/assets/img/workflow.png)

The left side of this workflow entails defining the input parameters to set up
the simulation in Computational Model Builder.

![cmb](docs/assets/img/cmb.png)

We then run the simulation with the defined problem, yield results and provide
an end-to-end platform for running simulations and visualizing their results.

![ipyparaview](docs/assets/img/ipyparaview.png)