- Created performance charts for all decimal levels (1, 2, 5, 10, 100, 1000, 2000)
- Added 4 charts per report: execution time, memory usage, IPC efficiency, and time vs memory trade-off
- Updated all reports to include visualizations
- Charts show top 20 languages for each metric
- Color-coded by language type (Compiled=green, JIT=blue, Interpreted=red)
- Added instructions, cycles, and IPC metrics to all reports
- Created CSV data files for each language with detailed metrics
- Added timeline data (memory and CPU over time) for each run
- Updated all reports with new metrics
- Created analysis script to analyze collected data
- Generated reports for all decimal levels (1, 2, 5, 10, 100, 1000, 2000)
Key findings:
- D has highest IPC (4.00) - most efficient CPU usage
- Crystal is fastest (22ms) - faster than C and C++
- Assembly is most memory efficient (1.4MB)
- Rust and Fortran have IPC 3.11 - good optimization