deepnccl


Namedeepnccl JSON
Version 2.1.0 PyPI version JSON
download
home_pagehttps://help.aliyun.com/document_detail/462422.html?spm=a2c4g.462031.0.0.c5f96b4drcx52F
SummaryDEEP-NCCL is an AI-Accelerator communication framework for NVIDIA-NCCL. It implements optimized all-reduce, all-gather, reduce, broadcast, reduce-scatter, all-to-all,as well as any send/receive based communication pattern.It has been optimized to achieve high bandwidth on aliyun machines using PCIe, NVLink, NVswitch,as well as networking using InfiniBand Verbs, eRDMA or TCP/IP sockets.
upload_time2024-05-14 09:33:26
maintainerNone
docs_urlNone
authorAlibaba Cloud
requires_python>=3.8
licenseCopyright (C) Alibaba Group Holding Limited
keywords distributed deep learning communication nccl deepgpu
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            
            

Raw data

            {
    "_id": null,
    "home_page": "https://help.aliyun.com/document_detail/462422.html?spm=a2c4g.462031.0.0.c5f96b4drcx52F",
    "name": "deepnccl",
    "maintainer": null,
    "docs_url": null,
    "requires_python": ">=3.8",
    "maintainer_email": null,
    "keywords": "Distributed, Deep Learning, Communication, NCCL, DEEPGPU",
    "author": "Alibaba Cloud",
    "author_email": null,
    "download_url": "https://files.pythonhosted.org/packages/71/43/42fc89c5f21445cf74718f9bd080c4b3ef81daca0c0b3eb443e1c4f957c0/deepnccl-2.1.0.tar.gz",
    "platform": null,
    "description": "",
    "bugtrack_url": null,
    "license": "Copyright (C) Alibaba Group Holding Limited",
    "summary": "DEEP-NCCL is an AI-Accelerator communication framework for NVIDIA-NCCL. It implements optimized all-reduce, all-gather, reduce, broadcast, reduce-scatter, all-to-all,as well as any send/receive based communication pattern.It has been optimized to achieve high bandwidth on aliyun machines using PCIe, NVLink, NVswitch,as well as networking using InfiniBand Verbs, eRDMA or TCP/IP sockets.",
    "version": "2.1.0",
    "project_urls": {
        "Homepage": "https://help.aliyun.com/document_detail/462422.html?spm=a2c4g.462031.0.0.c5f96b4drcx52F"
    },
    "split_keywords": [
        "distributed",
        " deep learning",
        " communication",
        " nccl",
        " deepgpu"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "714342fc89c5f21445cf74718f9bd080c4b3ef81daca0c0b3eb443e1c4f957c0",
                "md5": "50e0de62ac013ffad87a4d93480d1d78",
                "sha256": "92fcd6e462576c3f9a80d800550733d0d43a961dc4ab917142fe1471013adff0"
            },
            "downloads": -1,
            "filename": "deepnccl-2.1.0.tar.gz",
            "has_sig": false,
            "md5_digest": "50e0de62ac013ffad87a4d93480d1d78",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.8",
            "size": 3446,
            "upload_time": "2024-05-14T09:33:26",
            "upload_time_iso_8601": "2024-05-14T09:33:26.916387Z",
            "url": "https://files.pythonhosted.org/packages/71/43/42fc89c5f21445cf74718f9bd080c4b3ef81daca0c0b3eb443e1c4f957c0/deepnccl-2.1.0.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-05-14 09:33:26",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "lcname": "deepnccl"
}
        
Elapsed time: 1.16341s