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

data/Julia/run_4.csv

@@ -0,0 +1,14 @@
+timestamp_ms,memory_bytes,cpu_percent
+15,1196032,0
+29,1196032,0
+45,1196032,0
+60,1196032,0
+78,1196032,0
+96,1196032,0
+113,1196032,0
+131,1196032,0
+145,1196032,0
+162,1196032,0
+177,1196032,0
+196,1196032,0
+217,1196032,0