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
This commit is contained in:
Ein Anderssono
2026-04-23 14:39:13 +02:00
parent 443172606b
commit a2e13a70a1
303 changed files with 2281 additions and 1810 deletions
+4
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@@ -0,0 +1,4 @@
timestamp_ms,memory_bytes,cpu_percent
14,1179648,0
29,1179648,0
45,0,0
1 timestamp_ms memory_bytes cpu_percent
2 14 1179648 0
3 29 1179648 0
4 45 0 0