"Charting the Course to Your Success!" MOC A Understanding and Administering Windows HPC Server Course Summary

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1 Description Course Summary This course provides students with the knowledge and skills to manage and deploy Microsoft HPC Server 2008 clusters. Objectives At the end of this course, students will be Plan external services for the Create and modify node templates. Configure the head node. Configure networks. Prepare nodes for deployment. Deploy Diagnose provisioning issues. Validate cluster state by using cluster diagnostic tools. Manage Manage users and groups. Manage node state. Monitor Submit a job. Monitor a job. Manage resources. Create a job template. Topics Introduction to High-Performance Computing and HPC Server The Windows HPC Server Job Scheduler in depth The main components of a Windows HPC Server cluster Interfacing with HPC Server from command prompts to MMC plug-ins Basic cluster setup, from hardware to software Advanced setup and integration options Understanding how developers will use the cluster Configuring Windows HPC Server 2008 Maintenance and Performance Tuning of your Cluster Cluster Maintenance Audience This provides students with the knowledge and skills to setup and administer high-performance clusters running Microsoft Windows HPC Server Prerequisites Before attending this course, students must have: Experience with Windows Server Duration Three days

2 Course Outline I. Introduction to High-Performance Computing and HPC Server This module introduces the field of high-performance computing, and the Microsoft product Windows HPC Server A. Motivation for HPC. B. Brief product history of Compute Cluster Server and Windows HPC Server C. Brief overview of Windows HPC Server 2008 components, job submission, scheduler. D. HPC resources: cores vs. sockets vs. E. Product differentiators. F. The goal of your developers linear speedup. Lab: Introduction to HPC And Windows HPC Server 2008 Submitting jobs. Monitoring job execution. Measuring performance. Submit jobs to the Monitor job execution on the See performance improvements in HPC applications. II. The Windows HPC Server Job Scheduler in depth This module discusses the heart of Windows HPC Server 2008 the Job Scheduler. A. Throughput vs. performance. B. Jobs vs. Tasks. C. Job and task states. D. The definition of a failed job / task, auto restarting upon failure. E. Default scheduling policies. F. Job-level vs. task-level policies. G. The impact of job priorities and job preemption. H. Job resources and dynamic growing / shrinking. Lab: The Job Scheduler Investigating job parameters. Investigating task parameters. Observing the job scheduler in action. Troubleshoot the job scheduler. Understand the differences between a task and a job. Change default scheduling policies. Understand job scheduling policies and how to change them. Change the default allocation to jobs and understand best scenarios for each one. III. The main components of a Windows HPC Server cluster This module overviews the main hardware and software components of an HPCS-based A. Headnode vs. compute nodes vs. broker B. Windows Server HPC Pack. C. SQL Server. D. Active directory and credentials management. E. Network topologies. F. Data storage options: SMB, NAS, PFS. G. Job Scheduler and the job queue. Lab: Exploring Windows HPC Server 2008 Hardware components. Software components. Understand the difference between the different node types. How to change the roles of the nodes from a

3 When to use SQL Server Express vs. SQL Server professional. Understand the scenarios for each network topology. Understand how the job scheduler works and how only having one queue simplifies management. IV. Interfacing with HPC Server from command prompts to MMC plug-ins This module demonstrates the various ways you can interface with Windows HPC Server A. Cluster Manager. B. Job Manager. C. Job Description Files. D. Clusrun. E. Console window. F. PowerShell. G. Scripts. H. Programmatically via HPCS API. Lab: Interfacing with HPC Server Using the MMC plugins. Clusrun is your friend. Using the command line. Using PowerShell. Scripting. How to use clusrun to execute tasks on all How to use the command line to control the How to use PowerShell to carry out management tasks. V. Basic cluster setup, from hardware to software This module overviews the standard setup needs and procedures for a Windows HPC Server based A. Hardware, physical and virtual. B. Software: Windows Server 2008 editions, Windows HPC Server Pack, Windows HPC Server Pack SDK. C. Active Directory integration. D. Common groups, local directories, and network shares. E. Network topologies, DNS, and DHCP. F. Runtimes, software, and tools commonly needed by developers. G. Supporting remote debugging and tracing. Lab: Installing Windows HPC Server 2008 Basic install of Windows HPC Server 2008 on a small, virtual Install an HPC Compute Cluster from scratch. Understand the implications of network topologies when running SOA applications. Use tools to simply the deployment process. VI. Advanced setup and integration options This module dives deeper into the setup of more advanced Windows HPC Server based clusters, along with use of the more advanced setup features available in Windows HPC Server A. Windows Deployment Services. B. High-speed networking hardware and drivers, e.g. InfiniBand. C. Configuring headnode failover with Windows Server Failover Clustering. D. Enabling support for Open Grid Forum s basic web profile. E. Additional monitoring via System Center Operations Manager. F. Cluster integration (with other Windows HPC Server clusters, and Linux clusters). Understand how WDS works with Windows HPC Server.

4 Configure a failover cluster with Windows HPC Server. Use SCOM to monitor cluster health. VII. Understanding how developers will use the cluster This module discusses the goals of HPC developers, and how you can support them in their efforts. A. What applications can run on the B. What software technologies will developers typically use? C. Sequential apps. D. Parametric sweep. E. SOA applications. F. Multi-threaded apps. G. MPI apps. H. UNIX apps. I. The cluster heatmap and how to customize. Lab: Understanding and Helping Your Developers A parametric sweep application. An SOA application. An MPI application. Customizing the heatmap display in Windows HPC Server Understand the types of jobs developers will usually submit to the Use node resources appropriately for different types of tasks. VIII. Configuring Windows HPC Server 2008 This module discusses the most commonly-used configuration options in Windows HPC Server based clusters, and why. A. Node groups. B. Job templates. C. Job preemption. D. Dynamic resource allocation. E. Submission and activation filters. F. Job history, job restarting. G. Applying configurations to HPC users and groups. Lab: Configuring Windows HPC Server 2008 Configuring job preemption. Writing and installing submission and activation filters. Create node groups for efficient cluster utilization. Understand how to create job templates and grant access to your cluster users. Resubmit failed jobs to the cluster without having to create new ones from scratch. IX. Maintenance and Performance Tuning of your Cluster This module presents the tools and techniques available for tracking down both cluster and application failures. A. Cluster Manager diagnostics. B. Defining your own, custom diagnostic tests. C. Common job and task failures from the command-line to licensing. D. App-specific failures with MPI and SOA. E. Security issues. F. Remote desktop as a debugging technique. G. Windows event log. H. WCF tracing. Use diagnostics to find common causes for cluster issues. Understand the most common scenarios related to MPI and SOA job submission. Use tracing to find problems associated with WCF.

5 X. Maintenance This module overviews the typical maintenance requirements for a Windows HPC Server based A. Cluster Manager Charts and reports. B. Performance maintenance: MPI ping-pong, Lizard, and usane. C. Synchronizing software patches to the D. Headnode maintenance. E. SQL Server maintenance. F. Compute and broker node maintenance. G. Automating maintenance runs. User the charts and reports feature to better understand cluster utilization Find performance-related issues by using MPI ping-pong and usane tools. Efficiently maintain the cluster running by configuring the head node.

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