Note: If running locally (for example, on the AiiDAlab demo server),
we recommend selecting the fast protocol to reduce the computational
cost.
Tasks
- Select the fast protocol
-
In this guide, we will investigate in more detail the advanced settings that can be fine tuned.
Open the Advanced settings panel for more instructions.
Note that, depending on which advanced settings you changed, your calculations
might become quite expensive. You do not need to submit the workflows, unless
you want to. In this case, the guide ends here. If you do, be aware of the required simulation time!
In the submission step, we define the computational resources to be used in
the calculations. The global resources are used to define resources across
all workflow calculations. Optionally, you can override the resource
settings for specific calculations.
Warning: If running locally (for example, on the AiiDAlab demo
server), we recommend keeping nodes and CPUs at the default minimum of 1
each.
Once the resources are defined, we can optionally customize the workflow
label (pre-filled according to the settings of steps 1 & 2), as well as
provide a detailed description of the workflow. Once we are ready, we can
submit the workflow.
You first need to select which code (code executable + computer where this
will run) to use for each step of the workflow. The Quantum ESPRESSO app
should always install a local Quantum ESPRESSO executable that is sufficient
for this tutorial, but you can setup additional codes installed on remote
supercomputers. For more information on how to set up codes, please refer to the
corresponding
documentation.
Tasks
- Check that the the default options in the "Global resources" panel are the expected ones.
Specifically: select 1 node and 1 CPU for each of the codes. Unless you want to run elsewhere,
use the default codes on the AiiDAlab server (ending with `@localhost`)
that are available from the dropdown menus.
- (Optional) customize the workflow label
- (Optional) add a workflow description
- Click the Submit button to proceed
Warning: The workflow may take a moment to submit.