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_1.csv

@@ -0,0 +1,11 @@
+timestamp_ms,memory_bytes,cpu_percent
+15,1179648,0
+31,1179648,0
+46,1179648,0
+77,1179648,0
+96,1179648,0
+112,1179648,0
+126,1179648,0
+142,1179648,0
+161,1179648,0
+178,1179648,0

data/Julia/run_2.csv

@@ -0,0 +1,11 @@
+timestamp_ms,memory_bytes,cpu_percent
+13,1179648,0
+31,1179648,0
+49,1179648,0
+67,1179648,0
+87,1179648,0
+106,1179648,0
+120,1179648,0
+138,1179648,0
+152,1179648,0
+167,1179648,0

data/Julia/run_3.csv

@@ -0,0 +1,11 @@
+timestamp_ms,memory_bytes,cpu_percent
+13,1179648,0
+26,1179648,0
+40,1179648,0
+58,1179648,0
+75,1179648,0
+88,1179648,0
+107,1179648,0
+123,1179648,0
+139,1179648,0
+154,1179648,0

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

data/Julia/summary.csv

@@ -0,0 +1,10 @@
+metric,value
+time_ms,190
+memory_bytes,236235434
+peak_memory_bytes,236355584
+real_time_s,.173
+user_time_s,.116
+sys_time_s,.033
+instructions,17691121
+cycles,7819185
+ipc,2.26