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Change-Id: Ieaba84992a8cbd185f4c2d1dc36a175c0429b754
[ROCm/rdc commit: a865793b70]
72 строки
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72 строки
2.3 KiB
ReStructuredText
.. meta::
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:description: documentation of the installation, configuration, and use of the ROCm Data Center tool
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:keywords: ROCm Data Center tool, RDC, ROCm, API, reference, data type, support
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.. _rdc-use:
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******************************************
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Introduction to the RDC tool
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******************************************
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The ROCm Data Center tool (RDC) simplifies the administration and addresses key infrastructure challenges in AMD GPUs in cluster and datacenter environments. The main features are:
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* GPU telemetry
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* GPU statistics for jobs
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* Integration with third-party tools
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* Open source
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You can use the RDC tool in standalone mode if all components are installed. However, the existing management tools can use the same set of features available in a library format.
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For details on different modes of operation, refer to *Starting RDC* in :ref:`rdc-install`.
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Target Audience
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===============
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The audience for the AMD RDC tool consists of:
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* Administrators: RDC provides the cluster administrator with the capability of monitoring, validating, and configuring policies.
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* HPC Users: Provides GPU-centric feedback for their workload submissions.
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* OEM: Add GPU information to their existing cluster management software.
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* Open source Contributors: RDC is open source and accepts contributions from the community.
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Objective
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=========
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This documentation will:
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#. Introduce the tool features in :ref:`rdc-features`
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#. Describe integration with external tools in :ref:`rdc-3rd-party`
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#. Provide an open source handbook in :ref:`rdc-handbook`
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#. Introduce elements of the tool API in :ref:`api-intro`
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Terminology
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===========
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.. list-table:: Terminologies and Abbreviations
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* - **Terms**
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- **Description**
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* - RDC
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- ROCm Data Center tool
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* - Compute node (CN)
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- One of many nodes containing one or more GPUs in the Data Center on which compute jobs are run
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* - Management node (MN) or Main console
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- A machine running system administration applications to administer and manage the Data Center
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* - GPU Groups
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- Logical grouping of one or more GPUs in a compute node
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* - Fields
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- A metric that can be monitored by the RDC, such as GPU temperature, memory usage, and power usage
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* - Field Groups
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- Logical grouping of multiple fields
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* - Job
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- A workload that is submitted to one or more compute nodes
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