hipims


Namehipims JSON
Version 2.0.0 PyPI version JSON
download
home_pageNone
SummaryHiPIMS names for High-Performance Integrated hydrodynamic Modelling System. It uses state-of-art numerical schemes (Godunov-type finite volume) to solve the 2D shallow water equations for flood simulations. To support high-resolution flood simulations, HiPIMS is implemented on multiple GPUs (Graphics Processing Unit) using CUDA/C++ languages to achieve high-performance computing.
upload_time2025-01-23 17:30:01
maintainerNone
docs_urlNone
authorNone
requires_python>=3.9
licenseNone
keywords flood flooding flood-modelling
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # High-Performance Integrated hydrodynamic Modelling System ***hybrid***

This is a beta version inhouse code of Hemlab used for high-performance flooding simulation.


## About
HiPIMS names for High-Performance Integrated hydrodynamic Modelling System. It uses state-of-art numerical schemes (Godunov-type finite volume) to solve the 2D shallow water equations for flood simulations. To support high-resolution flood simulations, HiPIMS is implemented on multiple GPUs (Graphics Processing Unit) using CUDA/C++ languages to achieve high-performance computing. To find out how to use the model, please see the wiki.

### Contributing
HiPIMS is maintained by the Hydro-Environmental Modelling Labarotory [URL](https://www.hemlab.org/), a research hub for technological innovation and interdisciplinary collaboration. We warmly welcome the hydro-environmental modelling community to contribute to the project, believing that this project will benefit the whole community.

 [Qiuhua Liang](https://www.lboro.ac.uk/departments/abce/staff/qiuhua-liang/), ([Q.Liang@lboro.ac.uk](mailto:Q.Liang@lboro.ac.uk)) is the Head of HEMLab.

#### Authors
Jiaheng Zhao, HemLab ([jiaheng.zhao@fmglobal.com](mailto:jiaheng.zhao@fmglobal.comk))

Xue Tong, Loughborough University ([x.tong2@lboro.ac.uk](mailto:x.tong2@lboro.ac.uk))  
  
## License
This is a beta version inhouse code of Hemlab and can only be used and extended if you are a ***member of hemlab***. If not, please contact Qiuhua Liang (q.liang@lboro.ac.uk) for more information.

## Requirements
HiPMS deployment requires the following software to be installed on the build machine.
- GCC and G++ >= 10
- Python >= 3.8
- pip
- The CUDA Toolkit 12.1 (see https://developer.nvidia.com/cuda-12-1-0-download-archive)
- torch for CUDA 12.1(pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121)

## Install
cd .../HiPIMS_2024
pip install .

            

Raw data

            {
    "_id": null,
    "home_page": null,
    "name": "hipims",
    "maintainer": null,
    "docs_url": null,
    "requires_python": ">=3.9",
    "maintainer_email": "Xue Tong <x.tong2@lboro.ac.uk>",
    "keywords": "flood, flooding, flood-modelling",
    "author": null,
    "author_email": "Jiaheng Zhao <jiaheng.zhao@fmglobal.com>, Xue Tong <x.tong2@lboro.ac.uk>",
    "download_url": "https://files.pythonhosted.org/packages/a9/7e/764e456506ce667364f5c5067e5a9d1f567fcaa091e2e63705d712a51226/hipims-2.0.0.tar.gz",
    "platform": null,
    "description": "# High-Performance Integrated hydrodynamic Modelling System ***hybrid***\n\nThis is a beta version inhouse code of Hemlab used for high-performance flooding simulation.\n\n\n## About\nHiPIMS names for High-Performance Integrated hydrodynamic Modelling System. It uses state-of-art numerical schemes (Godunov-type finite volume) to solve the 2D shallow water equations for flood simulations. To support high-resolution flood simulations, HiPIMS is implemented on multiple GPUs (Graphics Processing Unit) using CUDA/C++ languages to achieve high-performance computing. To find out how to use the model, please see the wiki.\n\n### Contributing\nHiPIMS is maintained by the Hydro-Environmental Modelling Labarotory [URL](https://www.hemlab.org/), a research hub for technological innovation and interdisciplinary collaboration. We warmly welcome the hydro-environmental modelling community to contribute to the project, believing that this project will benefit the whole community.\n\n [Qiuhua Liang](https://www.lboro.ac.uk/departments/abce/staff/qiuhua-liang/), ([Q.Liang@lboro.ac.uk](mailto:Q.Liang@lboro.ac.uk)) is the Head of HEMLab.\n\n#### Authors\nJiaheng Zhao, HemLab ([jiaheng.zhao@fmglobal.com](mailto:jiaheng.zhao@fmglobal.comk))\n\nXue Tong, Loughborough University ([x.tong2@lboro.ac.uk](mailto:x.tong2@lboro.ac.uk))  \n  \n## License\nThis is a beta version inhouse code of Hemlab and can only be used and extended if you are a ***member of hemlab***. If not, please contact Qiuhua Liang (q.liang@lboro.ac.uk) for more information.\n\n## Requirements\nHiPMS deployment requires the following software to be installed on the build machine.\n- GCC and G++ >= 10\n- Python >= 3.8\n- pip\n- The CUDA Toolkit 12.1 (see https://developer.nvidia.com/cuda-12-1-0-download-archive)\n- torch for CUDA 12.1(pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121)\n\n## Install\ncd .../HiPIMS_2024\npip install .\n",
    "bugtrack_url": null,
    "license": null,
    "summary": "HiPIMS names for High-Performance Integrated hydrodynamic Modelling System. It uses state-of-art numerical schemes (Godunov-type finite volume) to solve the 2D shallow water equations for flood simulations. To support high-resolution flood simulations, HiPIMS is implemented on multiple GPUs (Graphics Processing Unit) using CUDA/C++ languages to achieve high-performance computing.",
    "version": "2.0.0",
    "project_urls": {
        "Bug Tracker": "https://github.com/me/spam/issues",
        "Changelog": "https://github.com/me/spam/blob/master/CHANGELOG.md",
        "Documentation": "https://readthedocs.org",
        "Homepage": "https://example.com",
        "Repository": "https://github.com/me/spam.git"
    },
    "split_keywords": [
        "flood",
        " flooding",
        " flood-modelling"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "e0e4720f4bf577a2e08f18ed7fb7367ff2a9d0a094ae0125916362a6cf5287d9",
                "md5": "eac8b4990ae594eee37019e522fa01fd",
                "sha256": "f4965fd4a15ae5c7b6ec1f1a192ee7fa799dd56a19d790dc3cd430ea55b70d1c"
            },
            "downloads": -1,
            "filename": "hipims-2.0.0-cp310-cp310-manylinux1_x86_64.whl",
            "has_sig": false,
            "md5_digest": "eac8b4990ae594eee37019e522fa01fd",
            "packagetype": "bdist_wheel",
            "python_version": "cp310",
            "requires_python": ">=3.9",
            "size": 38906883,
            "upload_time": "2025-01-23T17:29:56",
            "upload_time_iso_8601": "2025-01-23T17:29:56.339830Z",
            "url": "https://files.pythonhosted.org/packages/e0/e4/720f4bf577a2e08f18ed7fb7367ff2a9d0a094ae0125916362a6cf5287d9/hipims-2.0.0-cp310-cp310-manylinux1_x86_64.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "a97e764e456506ce667364f5c5067e5a9d1f567fcaa091e2e63705d712a51226",
                "md5": "6858ce6519243c78450702131b649248",
                "sha256": "b5be8dbaafd360915e7042b61dd9d6045a266ba55ed7ebbe235c730b8d11117a"
            },
            "downloads": -1,
            "filename": "hipims-2.0.0.tar.gz",
            "has_sig": false,
            "md5_digest": "6858ce6519243c78450702131b649248",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.9",
            "size": 8951907,
            "upload_time": "2025-01-23T17:30:01",
            "upload_time_iso_8601": "2025-01-23T17:30:01.844731Z",
            "url": "https://files.pythonhosted.org/packages/a9/7e/764e456506ce667364f5c5067e5a9d1f567fcaa091e2e63705d712a51226/hipims-2.0.0.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2025-01-23 17:30:01",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "me",
    "github_project": "spam",
    "github_not_found": true,
    "lcname": "hipims"
}
        
Elapsed time: 4.54122s