hipims2


Namehipims2 JSON
Version 0.0.0.0 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_time2024-09-08 20:07:10
maintainerNone
docs_urlNone
authorNone
requires_python>=3.7
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": "hipims2",
    "maintainer": null,
    "docs_url": null,
    "requires_python": ">=3.7",
    "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/17/ca/b56056f8ecf93295f21773eee80e00ff687e955e5cb789b2997d8a9df8e0/hipims2-0.0.0.0.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": "0.0.0.0",
    "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": "2d9cb6a7e10b01d994c2fdab533b29bc1f3d600f64fd950a5c4aeef0570edb31",
                "md5": "0e45139bae7b63ad047c46c6e6d9a70d",
                "sha256": "b0f843caee6f563f4da7c9c320ea3e81ea4fa14eeb4221c4d62db2befe28ad98"
            },
            "downloads": -1,
            "filename": "hipims2-0.0.0.0-cp38-cp38-manylinux1_x86_64.whl",
            "has_sig": false,
            "md5_digest": "0e45139bae7b63ad047c46c6e6d9a70d",
            "packagetype": "bdist_wheel",
            "python_version": "cp38",
            "requires_python": ">=3.7",
            "size": 29733978,
            "upload_time": "2024-09-08T20:07:07",
            "upload_time_iso_8601": "2024-09-08T20:07:07.420828Z",
            "url": "https://files.pythonhosted.org/packages/2d/9c/b6a7e10b01d994c2fdab533b29bc1f3d600f64fd950a5c4aeef0570edb31/hipims2-0.0.0.0-cp38-cp38-manylinux1_x86_64.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "17cab56056f8ecf93295f21773eee80e00ff687e955e5cb789b2997d8a9df8e0",
                "md5": "b19098baab5fa6db05d59e4cac910abd",
                "sha256": "6625783b8b604fb00a5327d2ddd1450f82cad6fa5bce64450a8c469307f4c71f"
            },
            "downloads": -1,
            "filename": "hipims2-0.0.0.0.tar.gz",
            "has_sig": false,
            "md5_digest": "b19098baab5fa6db05d59e4cac910abd",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.7",
            "size": 31562,
            "upload_time": "2024-09-08T20:07:10",
            "upload_time_iso_8601": "2024-09-08T20:07:10.389042Z",
            "url": "https://files.pythonhosted.org/packages/17/ca/b56056f8ecf93295f21773eee80e00ff687e955e5cb789b2997d8a9df8e0/hipims2-0.0.0.0.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-09-08 20:07:10",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "me",
    "github_project": "spam",
    "github_not_found": true,
    "lcname": "hipims2"
}
        
Elapsed time: 2.96017s