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

data/R/run_2.csv

@@ -0,0 +1,14 @@
+timestamp_ms,memory_bytes,cpu_percent
+16,1179648,0
+32,1179648,0
+49,1179648,0
+64,1179648,0
+79,1179648,0
+96,1179648,0
+109,1179648,0
+125,1179648,0
+139,1179648,0
+157,1179648,0
+175,1179648,0
+192,1179648,0
+205,1179648,0

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

data/R/run_4.csv

@@ -0,0 +1,14 @@
+timestamp_ms,memory_bytes,cpu_percent
+16,1179648,0
+32,1179648,0
+48,1179648,0
+66,1179648,0
+83,1179648,0
+100,1179648,0
+117,1179648,0
+131,1179648,0
+147,1179648,0
+162,1179648,0
+181,1179648,0
+196,1179648,0
+212,1179648,0

data/R/summary.csv

@@ -0,0 +1,10 @@
+metric,value
+time_ms,220
+memory_bytes,91253418
+peak_memory_bytes,91734016
+real_time_s,.200
+user_time_s,.143
+sys_time_s,.036
+instructions,18177908
+cycles,8751540
+ipc,2.07