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🚀 Run Desktop Applications

You can run applications on powerful HBS Grid compute nodes by connecting to the HBS grid via NoMachine and clicking one of the application icons under the Applications or Activities menus. This allows you to easily run compute and/or memory intensive applications with just a few mouse clicks!

Basic launcher options

Each application will open a dialog where you can configure your environment and resource requirements.

The application launchers are meant to be intuitive and easy to use. Most of the fields should be self-explanatory, e.g., there is a numeric field for memory (RAM) in Gigabytes, and another for the number of CPUs needed. As a convenience you can select a starting directory.

If your application needs a GPU make sure that you check the Needs GPU box.

Click the video thumbnail below to watch an application launcher demonstration:

Resource recommendations

When choosing RAM and CPU values keep in mind that the system reserves the resources you select, e.g., CPUs used by your job become unavailable for other users. Please be considerate and try not to reserve resources you don't need.

Specific memory requirements depend on the nature of the job, but as a rough guide we recommend requesting RAM 4-10 times the size of your data. For example, if you have a 6 Gb.csv file you may wish to request 24GB of memory or so.

We recommend that you request only 1 CPU unless you know that you are using code or libraries that were written to run in parallel such as Matlab parallel processint toolbox, Python multiprocessing library, or the R future package. For detailed parallel processing instructons refer to our tutorial.

Advanced launcher options


It is a good idea to note the current software environment version when you start a new project so you will know which environment to switch back to if needed.

If you need to use an older software environment you can do so using the software environment version dialog. Usually there is no need to use an environment other than the default; the purpose of this mechanism is to make it easy to reproduce an old analysis using a specific software environment.

The software and versions available in each environment are documented in Software Applications and Environments.

Some application launchers have a Pre-submission command field. This allows you to run an arbitrary bash command immediately before submitting the job. For example, you can use it to set environment variables or activate conda environments.

System resources & limits

The HBS Grid is configured with limits to prevent any single user from monopolizing the available resources. Understanding and working within these limits will make your experience on the HBS Grid more productive and enjoyable.

Configured system limits

In some cases the desktop launchers will down-grade your request to the maximum available if your request exceeds the system specified limits. There are both user-level, queue-level and job-level limits on the resources that are available to you:

  • You are limited to 3 concurrent interactive jobs.

  • You are limited to a total of 24 CPUs allocated to interactive jobs at any given time.

  • Interactive jobs are limited to 12 CPUs for up to 24 hours, or 4 CPUs for up to 72 hours.

As a practical example of these limits, if you try request 12 CPUs and runtime greater than 24 hours the system will not be able to meet your request. In that case it will offer to give you 4 CPUS (the maximum available for jobs running more than 24 hours).

More information about queue-level limits can be found in the command line documentation.

Available resources and resource contention

The HBS grid usually has substantial computational resources available, but sometimes an unusually large number of users are trying to use a lot of resources at the same time. In this case resources may become scarce and you may not be able to access the resources you need.

You can get a quick overview of the state of the cluster using the HBS Grid available resources utility, available in the applications menu. This will give you a sense of the current activity on the cluster, and a rough idea of the resources currently available to you.

Click the video thumbnail below to watch a demonstration of the available resources utility:

The graphical menu-based launchers documented in this section are a quick and convenient way to run interactive applications on powerful compute nodes. In the case where you wish to run many such jobs you may find it more convenient to run batch jobs. Refer to the command line documentation for details.