Wednesday, January 18, 2023

HPC Job Manager | Microsoft Learn.Job Management: HPC Cluster Manager

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Microsoft hpc job manager download.Overview of HPC Job Manager



 

Upgrade to Microsoft Edge to take advantage of the latest features, security updates, and technical support. Microsoft HPC Pack provides an integrated application platform for running, managing, and developing parallel computing applications. HPC Job Manager is your primary interface for submitting and monitoring jobs on a cluster. Using HPC Job Manager, you can submit, monitor, and manage all of your compute jobs from a single location.

You can also use a command prompt window or HPC PowerShell to submit, manage, and view jobs on a cluster. You must have the client utilities in HPC Pack installed on your computer. To connect to a cluster, your computer must be joined to the same domain or to a domain that has a trust relationship with the cluster domain.

You must have been added as a user on the cluster, or you must be a member of a domain group that has been added as a user on the cluster. For more information, contact your cluster administrator. If you want to connect to a different cluster, in the File menu, click Select Head Node , then click the head node of the HPC cluster that you want to connect to. Hover the mouse cursor in the upper right corner of the screen, and then click Start.

On the desktop, hover the mouse cursor in the lower left corner of the screen, and click when the thumbnail of the Start screen appears. Right-click the Start screen and click All apps in the bottom right corner.

Understanding Jobs and Tasks - Job Manager. Creating and Submitting Jobs - Job Manager. Managing Jobs and Tasks - Job Manager. Skip to main content. This browser is no longer supported. Table of contents Exit focus mode.

Table of contents. Additional resources In this article. A resource request that is submitted to the HPC Job Scheduler Service that contains, or will contain one or more tasks. The execution of a user application. The task Type property helps define how many times to run the command.

A task cannot be run independently of a job. Each job has one or more tasks that must run before the job is complete. To have tasks run in a specific order, you can define dependencies between the tasks.

A job template is required for submitting jobs. Job templates are created by the cluster administrator for different types of jobs. Job templates define default values and constraints for job properties and assist users in creating jobs that meet their needs and conform to resource allocation policies.

A user-named XML file that contains job or task specifications. This file allows you to preserve a job or task as a pattern for future submissions. When you create a new job or task from a description file, you can modify any of the properties before submission. A list of jobs that have been submitted to the Job Scheduler service to be run by the cluster.

A set of scheduling policies determines the order in which to run jobs from the queue. Cluster administrators configure the scheduling policies. A service that runs on the head node and is responsible for validating your credentials and your job parameters, queuing jobs and tasks, allocating resources, dispatching tasks to compute nodes, and monitoring the status of jobs, tasks, and nodes. The top-level organizational unit of an HPC cluster, comprising a set of nodes, a queue, and jobs.

The cluster is referred to by the name of the head node. A server that coordinates and monitors the cluster. You submit jobs to the head node. The head node validates your credentials and your job parameters and adds your job to the queue. A collection of nodes.

There are default node groups that you can use to run jobs, including compute nodes and workstation nodes. Depending on your version of HPC Pack, there might be additional default node groups that can run jobs such as Windows Azure nodes and unmanaged server nodes. Cluster administrators can create additional custom groups and assign nodes to one or more groups.

For example, nodes are often grouped according to network proximity, memory, specific hardware, or installed applications. Job templates can determine what node groups you can use for specific types of job.

This is also known as a non-uniform memory access NUMA node.

   


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