Update documentation for batch-mpi and related modules

[Neelabh94]

This pull request improves the documentation for the batch-mpi module and its associated components. The changes focus on explaining how compute nodes are provisioned in MPI mode and providing better guidance on the intended use of the login node for testing purposes.

Submission Checklist

NOTE: Community submissions can take up to 2 weeks to be reviewed.

Please take the following actions before submitting this pull request.

• Fork your PR branch from the Toolkit "develop" branch (not main)
• Test all changes with pre-commit in a local branch #
• Confirm that "make tests" passes all tests
• Add or modify unit tests to cover code changes
• Ensure that unit test coverage remains above 80%
• Update all applicable documentation
• Follow Cluster Toolkit Contribution guidelines #

[gemini-code-assist]

Summary of Changes

Hello, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request improves the documentation and configuration clarity for the batch-mpi module and its associated components. The changes focus on explaining how compute nodes are provisioned in MPI mode and providing better guidance on the intended use of the login node for testing purposes.

Highlights

• Documentation Updates: Added clarification regarding multi-node architecture and node provisioning logic in the examples and module README files.
• Configuration Clarity: Added inline comments to the batch-mpi example configuration to explain how task_count relates to compute node provisioning.
• Testing Guidance: Included a note in the batch-login-node documentation clarifying that the login node is for single-node verification and does not support multi-node MPI testing.

Using Gemini Code Assist

The full guide for Gemini Code Assist can be found on our documentation page, here are some quick tips.

Invoking Gemini

You can request assistance from Gemini at any point by creating a comment using either /gemini <command> or @gemini-code-assist <command>. Below is a summary of the supported commands on the current page.

Feature	Command	Description
Code Review	/gemini review	Performs a code review for the current pull request in its current state.
Pull Request Summary	/gemini summary	Provides a summary of the current pull request in its current state.
Comment	@gemini-code-assist	Responds in comments when explicitly tagged, both in pull request comments and review comments.
Help	/gemini help	Displays a list of available commands.

Customization

To customize the Gemini Code Assist for GitHub experience, repository maintainers can create a configuration file and/or provide a custom code review style guide (such as PEP-8 for Python) by creating and adding files to a .gemini/ folder in the base of the repository. Detailed instructions can be found here.

Limitations & Feedback

Gemini Code Assist may make mistakes. Please leave feedback on any instances where its feedback is incorrect or counterproductive. You can react with 👍 and 👎 on @gemini-code-assist comments. If you're interested in giving your feedback about your experience with Gemini Code Assist for GitHub and other Google products, sign up here.

Footnotes

1. Review the Privacy Notices, Generative AI Prohibited Use Policy, Terms of Service, and learn how to configure Gemini Code Assist in GitHub here. Gemini can make mistakes, so double check it and use code with caution. ↩

[gemini-code-assist]

Code Review

This pull request improves documentation and examples regarding multi-node architecture and MPI configuration for Google Cloud Batch. It adds clarifying notes to the README files for the login node and job template modules, and includes an explanatory comment in the MPI example blueprint. Review feedback correctly identifies inconsistencies in variable naming within the new documentation and comments, recommending the use of 'task_count_per_node' to match the module's input variable definitions for better clarity and consistency.