Today is an exciting day for Windows 10 on ARM. With the official release of Visual Studio 15.9, developers now have the officially supported SDK and tools for creating 64-bit ARM (ARM64) apps. In addition, the Microsoft Store is now officially accepting submissions for apps built for the ARM64 architecture.
This news comes at a great time, as this holiday season, our partners Lenovo and Samsung are offering new Windows 10 on ARM devices featuring the Qualcomm Snapdragon 850 processor. These second-generation ARM64 devices provide even more computing power for developers to tap into while continuing to deliver the beyond-all-day battery life customers expect from Windows 10 on ARM. Like the first-generation ARM64 devices, they are also thin, light, fast, and designed with instant-on 4G LTE connectivity in mind, while able to run the wide ecosystem of Windows applications thanks to an x86 emulation layer.
Arm’s developer website includes documentation, tutorials, support resources and downloads for products and technologies. Arm’s developer website includes documentation, tutorials, support resources and downloads for products and technologies. Trusted by hundreds of thousands of developers since 1990, Arm’s C/C Compiler toolchain has been used to build code shipped in billions of devices worldwide. Arm ISP tuning package. Access the Arm Image Signal Processing (ISP) software tuning package for Arm Mali ISPs via an end-user license agreement. Along with the developers and people working on the Dev C project. In short THANKS! What this document is This document is a short (and in many ways incomplete) list of things I have learned, struggled, and worked on to get arm-elf-gcc to work with Dev C.
Developers can use Visual Studio 15.9 today to recompile apps – both UWP and C++ Win32 – to run natively on Windows 10 on ARM devices. Running natively allows applications to take full advantage of the processing power and capabilities of Windows 10 on ARM devices, resulting in the best possible experience for users.
Back in May, we documented a number of steps needed in order to build as ARM64 using early preview tools. With official support in Visual Studio, that’s much easier.
To start, update to Visual Studio 15.9. If you are going to build ARM64 C++ Win32 apps, ensure you have installed the individual component “Visual C++ compilers and libraries for ARM64” as shown below:
After updating, for new UWP projects, you will see ARM64 as an available build configuration.
For existing projects, or for C++ Win32 projects, add an ARM64 configuration to your project:
Hit build, and you should have ARM64 binaries ready to run. Note that if your project lists runtimes in a project.json file, you may also need to add ‘win10-arm64-aot’ to the list for nuget packages to successfully restore.
To debug your app, you can use remote debugging, which is fully supported on ARM64. The download and instructions can be found at Remote Debugging on docs.microsoft.com. You can also create a package for sideloading or directly copy binaries over to a Windows 10 on ARM device to run your app.
To deliver your app to customers, the Store is now accepting ARM64 UWP apps, both C++ and .NET Native. You can also use the Desktop Bridge (instructions on docs.microsoft.com) to wrap ARM64 binaries into a package that can be submitted to the Store. And as always, you can also host dedicated ARM64 versions of your Win32 apps on your website or integrate ARM64 into existing multi-architecture installers.
With new Windows 10 on ARM devices sporting more powerful processors, the ARM64 platform continues to mature and improve. The release of Visual Studio 15.9 continues that evolution, and we can’t wait to see what amazing experiences developers can produce using these tools.
For answers to any questions or if you have feedback to share, head to our Windows 10 on ARM development page at http://aka.ms/Win10onARM or leave comments below.
-->Azure Pipelines TFS 2018 TFS 2017.2
Note
In Microsoft Team Foundation Server (TFS) 2018 and previous versions,build and release pipelines are called definitions,runs are called builds,service connections are called service endpoints,stages are called environments,and jobs are called phases.
Azure Pipelines and Team Foundation Server (TFS) provide a highly customizable continuous integration (CI) pipeline to automatically build your C/C++ application whenever your team pushes or checks in code. In this quickstart you learn how to define your CI pipeline for a C/C++ application compiled with GCC/g++.
You need an Azure DevOps organization. If you don't have one, you can create one for free. If your team already has one, then make sure you're an administrator of the Azure DevOps project that you want to use. (An Azure DevOps organization is different from your GitHub organization. Give them the same name if you want alignment between them.)
While the simplest way to try this quickstart is to use an Azure DevOps organization, you can also use a TFS server instead of an Azure DevOps organization. Make sure that you have configured a build agent for your project, and that you have GCC installed on the agent machine.
You can copy this sample app code directly into your version control system so that it can be accessed by your CI build pipeline. To get started, copy this URL to your clipboard:
To import the sample app into a Git repo in TFS:
On the Code page for your project in TFS, select the option to Import repository.
In the Import a Git repository dialog box, paste the above URL into the Clone URL text box.
Click Import to copy the sample code into your Git repo.
To fork the sample app into your own GitHub repository:
Navigate to the above GitHub repository URL in your browser.
Select Fork to create your own copy of the repository.
A continuous integration (CI) pipeline automatically builds and tests code every time a team member commits changes to version control. Here you'll create a CI pipeline that helps your team keep the master branch clean.
Create a new build pipeline.
Navigate to the Files tab of the Code hub, and then click Set up build.
You are taken to Azure Pipelines and asked to Select a template for the new build pipeline.
In the right panel, select Empty, and then click Apply. This template allows starting from scratch and adding your own build tasks.
For the Agent pool:
Azure Pipelines: Select Hosted Ubuntu 1604 or Hosted macOS. This uses an Azure Pipelines pool of agents that have the software needed to build your app.
TFS: Select a pool that includes a Linux or macOS build agent.
Click Get sources and then:
Observe that the new build pipeline is automatically linked to your repository.
/sherman-filterbank-vst-download.html. Click the + icon on Job 1 of the build and then:
Search for the Shell Script task and click Add to add it to your build.
Click the Shell Script task and set its field values as follows:
Field | Value |
---|---|
Version | 3.* or later |
Type | Inline |
Script | make |
Search for the Command Line task and click Add to add it to your build.
Click the Command Line task and set its field values as follows:
Field | Value |
---|---|
Display name | Build C++ application |
Tool | make |
Click the Triggers tab and enable the Continuous Integration trigger. This will ensure that the build pipeline is automatically triggered every time you commit a change to your repository.
Click Save & queue to kick off your first build. On the Save build pipeline and queue dialog box, click Save & queue.
A new build is started. You'll see a link to the new build on the top of the page. Click the link to watch the new build as it happens.
Once the build completes, select the build number to view a summary of the build.
Notice the various sections in the build summary - the source version of the commit in build details section, list of all associated changes, links to work items associated with commits, and test results.When the build is automatically triggered by a push to your Git repository, these sections are populated with all the relevant information.
Add the Copy Files and Publish Build Artifacts tasks to your build to save its compiled output as a build artifact.
You've just put your own CI pipeline in place to automatically build and validate whatever code is checked in by your team. You can also automatically deploy your app. To learn more, see one of these topics:
You can also modify this build pipeline to meet the needs of your team. To learn more see one of these topics: