https://github.com/anjiang-wei/amr
Science Score: 36.0%
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○Scientific vocabulary similarity
Low similarity (10.7%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: Anjiang-Wei
- Language: Rouge
- Default Branch: main
- Size: 402 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Task-Based Programming for Adaptive Mesh Refinement in Compressible Flow Simulations
This repository contains the implementation for Task-Based Programming for Adaptive Mesh Refinement in Compressible Flow Simulations, a Regent-based framework (built on the Legion programming model) designed to implement adaptive mesh refinement (AMR) for high-order compressible flow solvers.
Installation
The code is built using Regent, a high-level programming language for the Legion programming model. Please follow the Regent installation guide:
- Official language site: https://regent-lang.org/
- Installation instructions: https://github.com/StanfordLegion/legion/tree/stable/language
Repository Overview
The AMR project is structured into three main parts:
Solver design and implementation
Located atsrc/, this directory contains the core AMR solver code, including task-based mesh refinement/coarsening routines.Compressible flow simulations
Found intests/, this folder includes canonical examples and tests for compressible flow problems (e.g., Euler equations).Post-processing for animation
Available inpost/, this directory provides scripts to generate animations from simulation output.
Paper and Citation
This project is documented in this paper arXiv:2508.05020:
```bibtex @article{wei2025taskbased, title={Task-Based Programming for Adaptive Mesh Refinement in Compressible Flow Simulations}, author={Wei, Anjiang and Song, Hang and Hidayetoglu, Mert and Slaughter, Elliott and Lele, Sanjiva K. and Aiken, Alex}, journal={arXiv preprint arXiv:2508.05020}, year={2025}, url={https://arxiv.org/abs/2508.05020} }
Owner
- Login: Anjiang-Wei
- Kind: user
- Repositories: 19
- Profile: https://github.com/Anjiang-Wei
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