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_3.csv

@@ -0,0 +1,14 @@
+timestamp_ms,memory_bytes,cpu_percent
+15,1179648,0
+33,1179648,0
+50,1179648,0
+67,1179648,0
+82,1179648,0
+97,1179648,0
+111,1179648,0
+123,1179648,0
+141,1179648,0
+155,1179648,0
+176,1179648,0
+194,1179648,0
+208,1179648,0