nvidia-cudss-cu12


Namenvidia-cudss-cu12 JSON
Version 0.7.1.4 PyPI version JSON
download
home_pageNone
SummarycuDSS - runtime libraries
upload_time2025-10-20 17:42:49
maintainerNone
docs_urlNone
authorNone
requires_pythonNone
licenseNone
keywords cuda nvidia runtime sparse linear solver multi-node mgmn
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # NVIDIA cuDSS library

NVIDIA cuDSS (Preview) is a library of GPU-accelerated linear solvers with sparse matrices. It provides algorithms for solving linear systems of the following type:
`AX=B`

with a sparse matrix A, right-hand side B and unknown solution X (could be a matrix or a vector).

The cuDSS functionality allows flexibility in matrix properties and solver configuration, as well as execution parameters like CUDA streams.

            

Raw data

            {
    "_id": null,
    "home_page": null,
    "name": "nvidia-cudss-cu12",
    "maintainer": null,
    "docs_url": null,
    "requires_python": null,
    "maintainer_email": null,
    "keywords": "cuda, nvidia, runtime, sparse, linear solver, multi-node, mgmn",
    "author": null,
    "author_email": "Nvidia CUDA Installer Team <cuda_installer@nvidia.com>",
    "download_url": null,
    "platform": null,
    "description": "# NVIDIA cuDSS library\n\nNVIDIA cuDSS (Preview) is a library of GPU-accelerated linear solvers with sparse matrices. It provides algorithms for solving linear systems of the following type:\n`AX=B`\n\nwith a sparse matrix A, right-hand side B and unknown solution X (could be a matrix or a vector).\n\nThe cuDSS functionality allows flexibility in matrix properties and solver configuration, as well as execution parameters like CUDA streams.\n",
    "bugtrack_url": null,
    "license": null,
    "summary": "cuDSS - runtime libraries",
    "version": "0.7.1.4",
    "project_urls": {
        "Documentation": "https://docs.nvidia.com/cuda/cudss/",
        "Homepage": "https://docs.nvidia.com/cuda/cudss/"
    },
    "split_keywords": [
        "cuda",
        " nvidia",
        " runtime",
        " sparse",
        " linear solver",
        " multi-node",
        " mgmn"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "94815db4fe70e8ae64399012810652c9952908636363db59b84771bf225532af",
                "md5": "d5a02dd846a108d0c2eb14c4ec690ec9",
                "sha256": "0fe65edae59d728c606d536467a7e49ab778b2d89072028919f39f8a75974557"
            },
            "downloads": -1,
            "filename": "nvidia_cudss_cu12-0.7.1.4-py3-none-manylinux_2_17_aarch64.whl",
            "has_sig": false,
            "md5_digest": "d5a02dd846a108d0c2eb14c4ec690ec9",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 79845227,
            "upload_time": "2025-10-20T17:42:49",
            "upload_time_iso_8601": "2025-10-20T17:42:49.571314Z",
            "url": "https://files.pythonhosted.org/packages/94/81/5db4fe70e8ae64399012810652c9952908636363db59b84771bf225532af/nvidia_cudss_cu12-0.7.1.4-py3-none-manylinux_2_17_aarch64.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "f2b27037cb829ec6755df615c463507983b211214bcadddc3818dfec1f4b9d30",
                "md5": "cb7fec7e50b087ce7e18f032224dbf81",
                "sha256": "036881539b07c8a0830e79a7c9538e02d1d133e4ee2f4d1b37d0f6fd8fb441a6"
            },
            "downloads": -1,
            "filename": "nvidia_cudss_cu12-0.7.1.4-py3-none-manylinux_2_17_x86_64.whl",
            "has_sig": false,
            "md5_digest": "cb7fec7e50b087ce7e18f032224dbf81",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 79958116,
            "upload_time": "2025-10-20T17:44:18",
            "upload_time_iso_8601": "2025-10-20T17:44:18.558335Z",
            "url": "https://files.pythonhosted.org/packages/f2/b2/7037cb829ec6755df615c463507983b211214bcadddc3818dfec1f4b9d30/nvidia_cudss_cu12-0.7.1.4-py3-none-manylinux_2_17_x86_64.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "3e1b0cea8f6c46af8490c89c9d332b3c4c84c0ee8f07bc237d1fdfea2149a547",
                "md5": "fb72b0d16fca7a244823913014a43e16",
                "sha256": "acd5d18c9745ecd8ddfb9c2610b66f3384df1889642fddc35e93da6e82b3cc23"
            },
            "downloads": -1,
            "filename": "nvidia_cudss_cu12-0.7.1.4-py3-none-win_amd64.whl",
            "has_sig": false,
            "md5_digest": "fb72b0d16fca7a244823913014a43e16",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 70856870,
            "upload_time": "2025-10-20T17:35:26",
            "upload_time_iso_8601": "2025-10-20T17:35:26.657236Z",
            "url": "https://files.pythonhosted.org/packages/3e/1b/0cea8f6c46af8490c89c9d332b3c4c84c0ee8f07bc237d1fdfea2149a547/nvidia_cudss_cu12-0.7.1.4-py3-none-win_amd64.whl",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2025-10-20 17:42:49",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "lcname": "nvidia-cudss-cu12"
}
        
Elapsed time: 2.10690s