- Recreated entire README in English
- Preserved all technical details and data
- Improved flow and readability
- Kept Swedish version as README_SV.md for reference
- All charts and analysis now in English
- Save timeline data for each run (time, memory, CPU)
- Create timelines directory structure
- Add Python visualization script for charts
- Fix integer comparison errors in profiling
- Collect samples throughout program lifetime
- Track memory and CPU usage over program lifetime
- Store elapsed time with each sample
- Generate timeline data for visualization
- Enable detailed performance analysis
- Added get_cpu_usage() function to sample CPU percentage
- Updated profile_resources() to profile both memory and CPU
- Modified run_program() to track CPU usage alongside memory
- Updated output format to show CPU statistics
- Summary now displays: Time, Memory (avg/peak), CPU (avg/peak)
- Both memory and CPU are sampled every 10ms during execution
- Added binary size section to README with actual file sizes
- Updated run_all.sh to profile memory usage during execution
- Memory profiling shows average and peak memory consumption
- All data from actual measurements on Apple A18 Pro
- Binary sizes range from 103B (wrapper scripts) to 13M (Haskell)
Ein Anderssono