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Reviewing Optimization Results

Learn how to analyze optimization results in Artemis to select the best performing code versions.

Accessing Results​

After your optimization completes:

  1. Navigate to Optimizations page
  2. Select your optimization
  3. View results in the Versions and Insights tabs

Understanding the Results​

Performance Summary​

Optimization Results Overview

The top section shows your best optimization results:

  • Original: Your baseline code performance
  • Best runtime: Fastest execution version
  • Best memory: Lowest memory usage version
  • Best cpu: Most CPU-efficient version
  • Best overall: Best balanced performance

Each result shows:

  • Version number: Which optimized version achieved this result
  • Performance metrics: Time, CPU usage, and memory consumption
  • Color-coded indicators: 🟢 Green = better, 🔴 Red = worse

Version Details​

The main table displays all optimization versions with:

  • Code changes: Lines added/removed for each version
  • Performance metrics: Detailed timing and resource usage
  • Comparison scores: Performance vs. original code

Runner Information​

Hardware details of the system that ran your optimization, including CPU specifications and available resources.

Selecting the Best Version​

For Speed-Critical Applications​

Choose the Best runtime version - prioritizes fastest execution time.

For Memory-Limited Systems​

Select the Best memory version - minimizes memory usage.

For Balanced Performance​

Pick the Best overall version - optimizes across all metrics.

Key Insights​

Potential Code Targets

The Insights tab shows:

Code Targets​

  • File locations that were optimized
  • Importance ratings for Runtime, CPU, and Memory impact
  • Recommended versions for each code section
  • Performance scores with color-coded results

Filtering Options​

Use the importance filters to focus on:

  • Runtime: Speed improvements
  • CPU: Processor efficiency
  • Memory: Memory optimization
  • Most important: Top-priority optimizations

Quick Selection Guide​

  1. Review the performance summary - identify which metrics matter most for your use case
  2. Check the color indicators - prioritize versions with green badges
  3. Consider code changes - fewer changes typically mean lower risk
  4. Select your version - choose based on your primary performance goal

Next Steps​

After selecting your optimal version:

  1. Download the optimized code
  2. Test in your development environment
  3. Deploy to production
  4. Monitor real-world performance

After reviewing optimization results you can:

further actions on optimized versions

Last updated on by neda.z