Run high-performance computing (HPC) applications on Azure

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Overview

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Module 1: Discover the services available on Azure for your high-performance computing workloads.

In this module, you will:

Identify the HPC and batch solutions available on Azure
Identify the scenarios where HPC and batch technologies are a fit

Module 2: Azure Batch is a service that enables you to run large-scale parallel and high-performance computing (HPC) applications efficiently in the cloud. There's no need to manage or configure infrastructure. Just schedule the job, allocate the resources you need, and let Batch take care of the rest.

After you complete this module, you'll be able to:

Create an Azure Batch job by using the Azure portal
Run an Azure Batch job by using the Azure portal

Module 3: Find out about the Azure Batch capabilities designed to help you efficiently run large-scale parallel and high-performance computing applications in the cloud.

In this module, you will:

Create an Azure Batch job in the Azure CLI
Run an Azure Batch job in the Azure CLI
Check status and results of Batch job in Azure CLI
Monitor a Batch job with Batch Explorer

Module 4: Learn to use the Azure Batch platform to write a .NET Core console app that performs parallel, large-scale, high-performance video transcoding.

In this module, you will:

Build and run an Azure Batch job from a .NET app
Add an application package to a Batch account
Interact programmatically with Batch and Storage resources
Manage a Batch programmatically

Module 5: This module explains how to use Azure CycleCloud for high-performance computing. It explains how to install and configure Azure CycleCloud to work with your Azure subscription as well as how to integrate a third-party scheduler. Finally, it covers how to create and deploy a basic HPC cluster on Azure.

By the end of this module, you'll be able to:

Install and configure Azure CycleCloud to work with your Azure subscription.
Integrate a third-party scheduler.
Create and deploy a basic HPC cluster on Azure.

Module 6: Azure CycleCloud templates offer a declarative provisioning model that helps you minimize administrative overhead associated with deploying and maintaining custom HPC environments in Azure.

By the end of this module, you'll know more about how to:

Customize HPC cluster architecture.
Customize software and applications that you use with Azure CycleCloud clusters.

Module 7: We'll discuss various factors that influence high-performance computing (HPC) storage selection in Azure. We'll review NFS, file access, directory services, parallel file systems, and hybrid file-access considerations.

In this module, you will:

Document the file-access architecture for your HPC use case
Consider the implications of your architecture requirements
Compare several file-access architectures

Module 8: Choose the best service level of Azure NetApp Files based on your throughput requirements and including cost considerations.

By the end of this module, you'll be able to:

Describe the factors that determine throughput limits of Azure NetApp Files volume.
Choose the best service level of Azure NetApp Files for HPC applications.

Module 9: Learn how to improve Azure NetApp Files performance for your EDA and HPC applications by using best practices.

By the end of this module, you'll be able to:

List the best practices that improve Azure NetApp Files performance.
Describe the performance impact of the best practices on FIO and EDA benchmark suites.

Module 10: Evaluate whether Azure HPC Cache is appropriate for improving the productivity of your high-performance computing applications.

By the end of this module, you'll be able to:

Evaluate whether HPC Cache is appropriate for improving the productivity of your high-performance computing applications.
Describe how HPC Cache enables you to accelerate, scale, and manage your file-based high performance computing workloads in Azure.

Module 11: Accelerate NFS storage for HPC workloads by using Azure HPC Cache.

By the end of this module, you'll be able to:

Understand what Azure HPC Cache is.
List the pre-requisites for Azure HPC Cache.
Create an Azure HPC Cache instance.
Configure Azure HPC Cache to accelerate a Linux-based file system.
Attach virtual client machines to read from the cache.

Module 12: Learn how to build, run, and tune tightly coupled HPC applications in Azure.

In this module, you will:

Choose the best and most cost-efficient HPC SKU for each type of tightly coupled HPC application.
Optimally build and run each type of tightly coupled HPC application on Azure HPC SKUs.

Module 13: Troubleshoot tightly coupled HPC applications that are having runtime failures or are underperforming.

In this module, you'll learn how to:

Troubleshoot runtime failures for tightly coupled HPC applications.
Troubleshoot tightly coupled HPC applications that are underperforming.

Syllabus

Module 1: Introduction to high-performance computing (HPC) on Azure

Introduction
Azure Batch
Azure VM HPC instances
Microsoft HPC Pack
Scenarios for HPC and Batch technologies
Summary

Module 2: Create an Azure Batch account by using the Azure portal

Introduction
Create a Batch job by using the Azure portal
Exercise - Create an Azure Batch job and virtual network
Run tasks and add application packages
Exercise - Add a new application package to a Batch account in the Azure portal
Consider features for Azure Batch security
Knowledge check
Summary

Module 3: Run parallel tasks in Azure Batch with the Azure CLI

Introduction
What is Azure Batch?
Design an Azure Batch job to run your parallel task
Exercise - Create an Azure Batch job in the CLI to run your parallel task
Exercise - Monitor your Azure Batch job in the CLI
Visualize batch jobs with the Batch Explorer
Exercise - Monitor and visualize your batch job in Batch Explorer
Knowledge check
Summary

Module 4: Create an app to run parallel compute jobs in Azure Batch

Introduction
Manage Azure Batch workloads from a .NET app
Exercise - Setup Batch and Storage accounts in the Azure portal
Access your Batch account using the .NET client library
Exercise - Access your Batch account using the .NET client library
Exercise - Create a pool of compute nodes to run our jobs
Create and run a Batch job using the .NET client library
Exercise - Upload resources to be used by a Batch with the .NET storage library
Exercise - Manage and deploy applications on compute nodes
Exercise - Add code to monitor and log Azure Batch job progress in your app
Summary

Module 5: Create, customize and manage an HPC cluster in Azure with Azure CycleCloud

Introduction
Describe the basics of Azure CycleCloud
Describe Azure CycleCloud scheduler integration and autoscaling
Exercise - Install and configure Azure CycleCloud
Exercise - Create an HPC cluster from built-in templates
Knowledge check
Summary

Module 6: Customize high-performance computing clusters deployed with Azure CycleCloud

Introduction
Describe Azure CycleCloud cluster templates
Exercise - Add a disk to an HPC cluster's scheduler node
Exercise - Add a custom node array to an HPC cluster
Customize software installations
Exercise - Create a cloud-init script for use with Azure CycleCloud
Knowledge check
Summary

Module 7: Understand factors that influence HPC storage selection in Azure

Introduction
File access for HPC jobs
File-system performance considerations
File-system traffic considerations
File-system authentication and authorization
NFS overview
Parallel file systems
Hybrid file access requirements
Summary

Module 8: Choose the best service level of Azure NetApp Files for your HPC applications

Introduction
Identify the decision criteria
Choose your service level
Knowledge check
Summary

Module 9: Improve Azure NetApp Files performance for your EDA and HPC applications by using best practices

Introduction
Overall performance suggestions
Mount options and client VM configurations
Benchmark results
Knowledge check
Summary

Module 10: Introduction to Azure HPC Cache

Introduction
What is Azure HPC Cache?
How Azure HPC Cache works
When to use Azure HPC Cache
Knowledge check
Summary

Module 11: Accelerate high-performance computing storage by using Azure HPC Cache

Introduction
Identify the requirements for HPC Cache
Create an HPC Cache instance
Connect local storage to HPC Cache
Connect HPC clients to HPC Cache
Knowledge check
Summary

Module 12: Optimizing tightly coupled HPC applications on HBv2, HC, and HB series virtual machines

Introduction
Select the appropriate HPC SKU
Knowledge check - Select the appropriate HPC SKU
Process pinning considerations
Exercise - Find the correct NUMA mapping for an HPC SKU
Compilers and numerical libraries
Knowledge check - Select the right compiler and numerical libraries
Select the right MPI library
Knowledge check - Select the right MPI library
Summary

Module 13: Troubleshoot tightly coupled HPC applications on HBv2, HC, and HB series virtual machines

Introduction
Health checks for HPC virtual machines
Knowledge check
Debug performance bottlenecks
Knowledge check
Summary

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