Singularity containers provide an application virtualization layer that enables both application and environment portability. Using Singularity, you can build a root file system that can run on any Linux system where Singularity is installed, including on NAS systems. Castle bounce mac os.

Using Singularity Commands

Basic Singularity commands include:

singularity help

Finds information on available options and commands.

singularity build

Builds a singularity image.

singularity shell

Runs a shell within a container.

singularity exec

Runs a command within a container.

singularity run

Runs a user-defined default command within a container.

Building a Singularity Container Image

Many ready-to-use Singularity images are available from multiple sources. You can use the singularity build command to grab an image and use it on your workstation or on Pleiades. For some basic information on using the singularity build command, see Building an Image Using the Singularity Build Tool.

If you plan to build a Singularity image from scratch using singularity build or modify an existing one (by using the --writable option of singularity shell or singularity exec commands), root privilege may be required. If you have root privilege on your local workstation, you can install Singularity and build or modify a Singularity image.

On Pleiades, root privilege is not granted to users. Although Singularity version 3.6.x has a --fakeroot option for the singularity build, shell, and exec commands, this option is not supported on NAS systems for security reasons. Instead, building a Singularity image from scratch on NAS systems is enabled through the use of a NAS-provided base image. Real rash flying copter mac os. This base image includes a NAS-provided fakeroot utility that allows you to gain root privilege within the container. For more information, see Building a Singularity Container Image on Pleiades with a NAS-Provided Base Image.

Running a Singularity Container Image

If you have an existing Singularity image that is ready to run, you should be able to port and run it on any platform where Singularity is installed. To learn how to run your Singularity container image on Pleiades, see Running a Singularity Container Image on Pleiades.

Pre-Built Machine Learning-Focused Singularity Images

If you would like to use Singularity for machine learning, a few pre-built images are available in the /swbuild/analytix/singularity/images directory. https://zyfmactive-slotshighdangersongvoltage.peatix.com. For more information about the packages in the images, see Machine Learning: Overview.

References

For more information about Singularity, see the Sylabs Singularity Container Documentation.