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

analyze_data.py

@@ -0,0 +1,49 @@
+#!/usr/bin/env python3
+import os
+import csv
+import json
+
+# Collect data from all languages
+data = {}
+languages = []
+
+# Read data from each language
+for lang in os.listdir('data'):
+    lang_dir = os.path.join('data', lang)
+    if os.path.isdir(lang_dir):
+        summary_file = os.path.join(lang_dir, 'summary.csv')
+        if os.path.exists(summary_file):
+            languages.append(lang)
+            with open(summary_file, 'r') as f:
+                reader = csv.DictReader(f)
+                lang_data = {}
+                for row in reader:
+                    lang_data[row['metric']] = float(row['value'])
+                data[lang] = lang_data
+
+# Sort by time
+sorted_by_time = sorted(languages, key=lambda x: data[x].get('time_ms', float('inf')))
+
+# Print analysis
+print("\n=== Top 10 snabbaste språk ===")
+for i, lang in enumerate(sorted_by_time[:10], 1):
+    d = data[lang]
+    print(f"{i}. {lang:15} {d['time_ms']:6.0f} ms, {d['memory_bytes']:10.0f} bytes, IPC: {d['ipc']:.2f}")
+
+print("\n=== Top 10 minneseffektiva språk ===")
+sorted_by_memory = sorted(languages, key=lambda x: data[x].get('memory_bytes', float('inf')))
+for i, lang in enumerate(sorted_by_memory[:10], 1):
+    d = data[lang]
+    print(f"{i}. {lang:15} {d['memory_bytes']:10.0f} bytes, {d['time_ms']:6.0f} ms, IPC: {d['ipc']:.2f}")
+
+print("\n=== Top 10 högsta IPC (effektivitet) ===")
+sorted_by_ipc = sorted(languages, key=lambda x: data[x].get('ipc', 0), reverse=True)
+for i, lang in enumerate(sorted_by_ipc[:10], 1):
+    d = data[lang]
+    print(f"{i}. {lang:15} IPC: {d['ipc']:.2f}, {d['time_ms']:6.0f} ms")
+
+# Save data for visualization
+with open('data/analysis.json', 'w') as f:
+    json.dump(data, f, indent=2)
+
+print("\n=== Data sparad till data/analysis.json ===")

data/Assembly/run_1.csv

@@ -0,0 +1,2 @@
+timestamp_ms,memory_bytes,cpu_percent
+12,0,0

data/Assembly/run_2.csv

@@ -0,0 +1,2 @@
+timestamp_ms,memory_bytes,cpu_percent
+15,0,0

data/Assembly/run_3.csv

@@ -0,0 +1,2 @@
+timestamp_ms,memory_bytes,cpu_percent
+21,0,0

data/Assembly/run_4.csv

@@ -0,0 +1,2 @@
+timestamp_ms,memory_bytes,cpu_percent
+10,0,0

data/Assembly/summary.csv

@@ -0,0 +1,10 @@
+metric,value
+time_ms,32
+memory_bytes,1409024
+peak_memory_bytes,1409024
+real_time_s,0
+user_time_s,0
+sys_time_s,0
+instructions,12558975
+cycles,6069377
+ipc,2.06

data/Bash/run_1.csv

@@ -0,0 +1,2 @@
+timestamp_ms,memory_bytes,cpu_percent
+19,1179648,0

data/Bash/run_2.csv

@@ -0,0 +1,2 @@
+timestamp_ms,memory_bytes,cpu_percent
+19,1179648,0

data/Bash/run_3.csv

@@ -0,0 +1,2 @@
+timestamp_ms,memory_bytes,cpu_percent
+23,1196032,0

data/Bash/run_4.csv

@@ -0,0 +1,2 @@
+timestamp_ms,memory_bytes,cpu_percent
+18,1179648,0

data/Bash/summary.csv

@@ -0,0 +1,10 @@
+metric,value
+time_ms,34
+memory_bytes,2058922
+peak_memory_bytes,2064384
+real_time_s,.013
+user_time_s,0
+sys_time_s,.006
+instructions,18550685
+cycles,8090090
+ipc,2.29

data/Brainfuck/run_1.csv

@@ -0,0 +1,4 @@
+timestamp_ms,memory_bytes,cpu_percent
+16,1179648,0
+35,1179648,0
+51,0,0

data/Brainfuck/run_2.csv

@@ -0,0 +1,4 @@
+timestamp_ms,memory_bytes,cpu_percent
+15,1179648,0
+37,1179648,0
+51,0,0

data/Brainfuck/run_3.csv

@@ -0,0 +1,4 @@
+timestamp_ms,memory_bytes,cpu_percent
+14,1179648,0
+29,1179648,0
+45,0,0

data/Brainfuck/run_4.csv

@@ -0,0 +1,4 @@
+timestamp_ms,memory_bytes,cpu_percent
+13,1179648,0
+26,1179648,0
+39,1179648,0

data/Brainfuck/summary.csv

@@ -0,0 +1,10 @@
+metric,value
+time_ms,56
+memory_bytes,9185962
+peak_memory_bytes,9256960
+real_time_s,.033
+user_time_s,.010
+sys_time_s,.010
+instructions,17501272
+cycles,8126562
+ipc,2.15

data/C++/run_1.csv

@@ -0,0 +1,2 @@
+timestamp_ms,memory_bytes,cpu_percent
+17,0,0

data/C++/run_2.csv

@@ -0,0 +1,2 @@
+timestamp_ms,memory_bytes,cpu_percent
+14,1179648,0

data/C++/run_3.csv

@@ -0,0 +1,2 @@
+timestamp_ms,memory_bytes,cpu_percent
+15,1179648,0

data/C++/run_4.csv

@@ -0,0 +1,2 @@
+timestamp_ms,memory_bytes,cpu_percent
+14,0,0

data/C++/summary.csv

@@ -0,0 +1,10 @@
+metric,value
+time_ms,26
+memory_bytes,1523712
+peak_memory_bytes,1523712
+real_time_s,0
+user_time_s,0
+sys_time_s,0
+instructions,23545731
+cycles,9050444
+ipc,2.60

data/C/run_1.csv

@@ -0,0 +1,2 @@
+timestamp_ms,memory_bytes,cpu_percent
+13,0,0

data/C/run_2.csv

@@ -0,0 +1,2 @@
+timestamp_ms,memory_bytes,cpu_percent
+12,1179648,0

data/C/run_3.csv

@@ -0,0 +1,2 @@
+timestamp_ms,memory_bytes,cpu_percent
+13,0,0

data/C/run_4.csv

@@ -0,0 +1,2 @@
+timestamp_ms,memory_bytes,cpu_percent
+16,0,0

data/C/summary.csv

@@ -0,0 +1,10 @@
+metric,value
+time_ms,27
+memory_bytes,1687552
+peak_memory_bytes,1687552
+real_time_s,0
+user_time_s,0
+sys_time_s,0
+instructions,14479010
+cycles,6499773
+ipc,2.22

data/CSharp/run_1.csv

@@ -0,0 +1,5 @@
+timestamp_ms,memory_bytes,cpu_percent
+13,1179648,0
+27,1179648,0
+40,1179648,0
+52,0,0

data/CSharp/run_2.csv

@@ -0,0 +1,4 @@
+timestamp_ms,memory_bytes,cpu_percent
+20,1179648,0
+37,1179648,0
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data/CSharp/run_3.csv

@@ -0,0 +1,4 @@
+timestamp_ms,memory_bytes,cpu_percent
+14,1179648,0
+32,1179648,0
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data/CSharp/run_4.csv

@@ -0,0 +1,4 @@
+timestamp_ms,memory_bytes,cpu_percent
+16,1179648,0
+32,1179648,0
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data/CSharp/summary.csv

@@ -0,0 +1,10 @@
+metric,value
+time_ms,64
+memory_bytes,41462442
+peak_memory_bytes,41566208
+real_time_s,.036
+user_time_s,.020
+sys_time_s,.010
+instructions,17452260
+cycles,8624146
+ipc,2.02

data/Crystal/run_1.csv

@@ -0,0 +1 @@
+timestamp_ms,memory_bytes,cpu_percent

data/Crystal/run_2.csv

@@ -0,0 +1,2 @@
+timestamp_ms,memory_bytes,cpu_percent
+10,0,0

data/Crystal/run_3.csv

@@ -0,0 +1,2 @@
+timestamp_ms,memory_bytes,cpu_percent
+11,1179648,0

data/Crystal/run_4.csv

@@ -0,0 +1,2 @@
+timestamp_ms,memory_bytes,cpu_percent
+13,0,0

data/Crystal/summary.csv

@@ -0,0 +1,10 @@
+metric,value
+time_ms,22
+memory_bytes,3293184
+peak_memory_bytes,3293184
+real_time_s,0
+user_time_s,0
+sys_time_s,0
+instructions,29546282
+cycles,9885445
+ipc,2.98

data/D/run_1.csv

@@ -0,0 +1,2 @@
+timestamp_ms,memory_bytes,cpu_percent
+12,1179648,0

data/D/run_2.csv

@@ -0,0 +1,2 @@
+timestamp_ms,memory_bytes,cpu_percent
+14,1179648,0

data/D/run_3.csv

@@ -0,0 +1,2 @@
+timestamp_ms,memory_bytes,cpu_percent
+12,1179648,0

data/D/run_4.csv

@@ -0,0 +1,2 @@
+timestamp_ms,memory_bytes,cpu_percent
+15,1179648,0

data/D/summary.csv

@@ -0,0 +1,10 @@
+metric,value
+time_ms,24
+memory_bytes,2479445
+peak_memory_bytes,2490368
+real_time_s,0
+user_time_s,0
+sys_time_s,0
+instructions,80920081
+cycles,20218601
+ipc,4.00

data/Dart/run_1.csv

@@ -0,0 +1,2 @@
+timestamp_ms,memory_bytes,cpu_percent
+18,1179648,0

data/Dart/run_2.csv

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+timestamp_ms,memory_bytes,cpu_percent
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data/Dart/run_3.csv

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+timestamp_ms,memory_bytes,cpu_percent
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data/Dart/run_4.csv

@@ -0,0 +1,2 @@
+timestamp_ms,memory_bytes,cpu_percent
+24,1179648,0

data/Dart/summary.csv

@@ -0,0 +1,10 @@
+metric,value
+time_ms,35
+memory_bytes,14641834
+peak_memory_bytes,14680064
+real_time_s,.013
+user_time_s,0
+sys_time_s,0
+instructions,63451402
+cycles,27183385
+ipc,2.33

data/Elixir/run_1.csv

@@ -0,0 +1,29 @@
+timestamp_ms,memory_bytes,cpu_percent
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data/Elixir/run_2.csv

@@ -0,0 +1,28 @@
+timestamp_ms,memory_bytes,cpu_percent
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data/Elixir/run_3.csv

@@ -0,0 +1,28 @@
+timestamp_ms,memory_bytes,cpu_percent
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data/Elixir/run_4.csv

@@ -0,0 +1,28 @@
+timestamp_ms,memory_bytes,cpu_percent
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data/Elixir/summary.csv

@@ -0,0 +1,10 @@
+metric,value
+time_ms,406
+memory_bytes,89161728
+peak_memory_bytes,89260032
+real_time_s,.393
+user_time_s,.296
+sys_time_s,.216
+instructions,17505478
+cycles,7380020
+ipc,2.37

data/Erlang/run_1.csv

@@ -0,0 +1,13 @@
+timestamp_ms,memory_bytes,cpu_percent
+16,1179648,0
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data/Erlang/run_2.csv

@@ -0,0 +1,11 @@
+timestamp_ms,memory_bytes,cpu_percent
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data/Erlang/run_3.csv

@@ -0,0 +1,13 @@
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data/Erlang/run_4.csv

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data/Erlang/summary.csv

@@ -0,0 +1,10 @@
+metric,value
+time_ms,185
+memory_bytes,77048490
+peak_memory_bytes,77185024
+real_time_s,.166
+user_time_s,.120
+sys_time_s,.100
+instructions,17696158
+cycles,7782102
+ipc,2.27

data/Fortran/run_1.csv

@@ -0,0 +1,2 @@
+timestamp_ms,memory_bytes,cpu_percent
+15,1179648,0

data/Fortran/run_2.csv

@@ -0,0 +1,2 @@
+timestamp_ms,memory_bytes,cpu_percent
+14,0,0

data/Fortran/run_3.csv

@@ -0,0 +1,2 @@
+timestamp_ms,memory_bytes,cpu_percent
+11,0,0

data/Fortran/run_4.csv

@@ -0,0 +1,2 @@
+timestamp_ms,memory_bytes,cpu_percent
+11,0,0

data/Fortran/summary.csv

@@ -0,0 +1,10 @@
+metric,value
+time_ms,26
+memory_bytes,1802240
+peak_memory_bytes,1802240
+real_time_s,0
+user_time_s,0
+sys_time_s,0
+instructions,27378187
+cycles,8787318
+ipc,3.11

data/Go/run_1.csv

@@ -0,0 +1,2 @@
+timestamp_ms,memory_bytes,cpu_percent
+18,1179648,0

data/Go/run_2.csv

@@ -0,0 +1,2 @@
+timestamp_ms,memory_bytes,cpu_percent
+16,0,0

data/Go/run_3.csv

@@ -0,0 +1,2 @@
+timestamp_ms,memory_bytes,cpu_percent
+15,0,0

data/Go/run_4.csv

@@ -0,0 +1,2 @@
+timestamp_ms,memory_bytes,cpu_percent
+20,0,0

data/Go/summary.csv

@@ -0,0 +1,10 @@
+metric,value
+time_ms,31
+memory_bytes,4041386
+peak_memory_bytes,4145152
+real_time_s,0
+user_time_s,0
+sys_time_s,0
+instructions,19473738
+cycles,8671903
+ipc,2.24

data/Haskell/run_1.csv

@@ -0,0 +1,3 @@
+timestamp_ms,memory_bytes,cpu_percent
+15,1179648,0
+28,1179648,0

data/Haskell/run_2.csv

@@ -0,0 +1,3 @@
+timestamp_ms,memory_bytes,cpu_percent
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+31,0,0

data/Haskell/run_3.csv

@@ -0,0 +1,3 @@
+timestamp_ms,memory_bytes,cpu_percent
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+36,0,0

data/Haskell/run_4.csv

@@ -0,0 +1,3 @@
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data/Haskell/summary.csv

@@ -0,0 +1,10 @@
+metric,value
+time_ms,46
+memory_bytes,12053162
+peak_memory_bytes,12058624
+real_time_s,.013
+user_time_s,0
+sys_time_s,0
+instructions,49928755
+cycles,18118511
+ipc,2.75

data/Java/run_1.csv

@@ -0,0 +1,4 @@
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data/Java/run_2.csv

@@ -0,0 +1,5 @@
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+13,1179648,0
+30,1179648,0
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+59,0,0

data/Java/run_3.csv

@@ -0,0 +1,4 @@
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data/Java/run_4.csv

@@ -0,0 +1,4 @@
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data/Java/summary.csv

@@ -0,0 +1,10 @@
+metric,value
+time_ms,68
+memory_bytes,43073536
+peak_memory_bytes,43106304
+real_time_s,.046
+user_time_s,.030
+sys_time_s,.016
+instructions,17776760
+cycles,8998434
+ipc,1.97

data/JavaScript/run_1.csv

@@ -0,0 +1,5 @@
+timestamp_ms,memory_bytes,cpu_percent
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+74,1179648,0
+90,1179648,0

data/JavaScript/run_2.csv

@@ -0,0 +1,6 @@
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+14,1179648,0
+32,1179648,0
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+79,1179648,0
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data/JavaScript/run_3.csv

@@ -0,0 +1,7 @@
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data/JavaScript/run_4.csv

@@ -0,0 +1,6 @@
+timestamp_ms,memory_bytes,cpu_percent
+22,1196032,0
+52,1196032,0
+67,1196032,0
+89,1196032,0
+105,0,0

data/JavaScript/summary.csv

@@ -0,0 +1,10 @@
+metric,value
+time_ms,118
+memory_bytes,44417024
+peak_memory_bytes,44580864
+real_time_s,.090
+user_time_s,.070
+sys_time_s,.010
+instructions,18142055
+cycles,9003896
+ipc,2.01

data/Julia/run_1.csv

@@ -0,0 +1,11 @@
+timestamp_ms,memory_bytes,cpu_percent
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data/Julia/run_2.csv

@@ -0,0 +1,11 @@
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data/Julia/run_3.csv

@@ -0,0 +1,11 @@
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data/Julia/run_4.csv

@@ -0,0 +1,14 @@
+timestamp_ms,memory_bytes,cpu_percent
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