Files
print_hej/data/Scala/run_4.csv
T
Ein Anderssono a2e13a70a1 Add comprehensive performance metrics and data collection
- 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
2026-04-23 14:39:13 +02:00

33 lines
466 B
CSV

timestamp_ms,memory_bytes,cpu_percent
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194,1196032,0
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260,1196032,0
274,1196032,0
288,1196032,0
300,1196032,0
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336,1196032,0
368,1196032,0
386,1196032,0
409,1196032,0
427,1196032,0
444,1196032,0
471,1196032,0
507,1196032,0
534,1196032,0
562,1196032,0
585,1196032,0