feat: add sample dataset and enhanced monitoring analysis

[cmontemuino]

• Add representative sample data (4 experiments with complete monitoring)
• Implement power, thermal, and system stability analysis
• Create monitoring visualizations and comprehensive reports
• Update documentation with analysis guide and monitoring interpretation

[gemini-code-assist]

Summary of Changes

Hello @cmontemuino, 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 significantly enhances the benchmark analysis tool by introducing a comprehensive sample dataset with complete monitoring information and expanding the analysis capabilities to include detailed power, thermal, and system stability insights. The changes involve a substantial refactoring of the data discovery and processing pipeline, enabling the tool to correlate benchmark results with various types of monitoring data. This leads to more robust reporting and advanced visualizations, providing users with a deeper understanding of hardware behavior during benchmark execution.

Highlights

• Enhanced Data Handling: The system now intelligently discovers and correlates benchmark result files with associated log, CPU, GPU power, and GPU temperature monitoring data, supporting flexible directory structures.
• Comprehensive Monitoring Analysis: New functionalities are implemented to analyze power consumption, thermal performance (including throttling risk), and overall system stability, providing deeper insights into hardware behavior during benchmarks.
• Advanced Reporting & Visualization: The analysis reports now include dedicated sections for power, thermal, and system stability, complemented by new visualizations such as a multi-panel monitoring dashboard and power efficiency plots.
• Sample Dataset & Documentation: A representative sample dataset with complete monitoring information is added, along with updated documentation to guide users on analysis and interpretation of monitoring data.
• Codebase Refinement: Imports have been standardized to absolute paths, and the BenchmarkAnalyzer class has been refactored to streamline the analysis workflow and integrate new monitoring features.

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[gemini-code-assist]

Code Review

This pull request introduces a significant enhancement by adding support for analyzing hardware monitoring data alongside benchmark results. It includes a new sample dataset with monitoring files, implements analysis for power, thermal, and system stability, and adds corresponding visualizations and report sections. The code is well-structured with good documentation. I've identified a critical bug in the YAML configuration loading and a few areas where hardcoded values could be replaced with dynamic ones to improve flexibility and correctness for different hardware setups.

[cmontemuino]

/gemini help

[gemini-code-assist]

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Invoking Gemini

You can request assistance from Gemini at any point in your pull request via creating an issue comment (i.e. comment on the pull request page) using either /gemini <command> or @gemini-code-assist <command>. Below is a summary of the supported commands.

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 issue comments and review comments.
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Gemini Code Assist may make mistakes. Please leave feedback on any instances where its feedback is incorrect or counter productive. 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.

[cmontemuino]

/gemini review

[gemini-code-assist]

Code Review

This pull request introduces a significant enhancement to the analysis capabilities, adding support for processing and visualizing hardware monitoring data such as power and thermal metrics. It also includes a new sample dataset to demonstrate these features. The changes are extensive, touching the core analysis logic, data schemas, CLI, and documentation.

My review focuses on improving code quality and design. I've identified some dead code resulting from refactoring, opportunities to improve data flow efficiency by passing data in-memory instead of via the filesystem, and a regression in input validation. I also noted a potentially problematic change in the .gitignore file.

[cmontemuino]

@gemini-code-assist review

[gemini-code-assist]

Code Review

This pull request introduces significant enhancements to the analysis capabilities, particularly around hardware monitoring. The addition of sample data with logs and monitoring metrics is a great improvement for users. The new analysis for power, thermal, and system stability, along with corresponding visualizations and report sections, adds a lot of value. The code is well-structured, and the refactoring of configuration and file discovery logic is solid. I've identified a few areas for improvement, mainly concerning hardcoded values that should be configurable, a potential bug in YAML configuration loading, and some documentation and refactoring opportunities. Overall, this is a high-quality contribution.