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/R/run_1.csv

@@ -0,0 +1,13 @@
+timestamp_ms,memory_bytes,cpu_percent
+12,1179648,0
+26,1179648,0
+41,1179648,0
+54,1179648,0
+72,1179648,0
+85,1179648,0
+102,1179648,0
+126,1179648,0
+143,1179648,0
+164,1179648,0
+187,1179648,0
+202,1179648,0