Experimental Execution: Run Code and Analyze Performance Results

[soykothosen]

Overview

The objective of this task is to execute the current codebase to run specific experiments, observe performance, and log the outcomes. This will help us validate our current approach and identify potential areas of improvement.

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Core Tasks

1. Environment Setup & Verification

• Ensure the latest codebase and dependencies are properly configured in the execution environment.
• Run a quick smoke test/sanity check to confirm the code executes without syntax or environment errors.

2. Experimental Execution

• Run the complete experimental pipeline using the designated parameters/configurations.
• Monitor resource utilization (e.g., CPU, GPU, Memory) and execution time during the run.
• Log any unexpected behaviors, bottlenecks, or runtime warnings/errors.

3. Results Analysis & Documentation

• Collect and store the output data, logs, and generated artifacts in the designated folder.
• Document the primary performance metrics observed from this experiment.
• Create initial visualizations (e.g., plots, charts, or confusion matrices) if applicable to better interpret the results.

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Deliverables

• Complete log files from the experimental run.
• A brief summary report detailing the setup parameters and the final quantitative/qualitative results.
• Any generated plots, charts, or output tables.