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slides/2025-10-10-how-rust-compiles/lto-speed.py

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+"""
+base:
+Benchmark 1: cargo build --release
+  Time (mean ± σ):     58.150 s ±  0.163 s    [User: 758.211 s, System: 37.637 s]
+  Range (min … max):   57.936 s … 58.321 s    5 runs
+
+thin:
+Benchmark 1: cargo build --release
+Time (mean ± σ):     63.999 s ±  0.105 s    [User: 879.703 s, System: 40.045 s]
+Range (min … max):   63.921 s … 64.182 s    5 runs
+
+fat:
+Time (mean ± σ):     264.606 s ±  2.238 s    [User: 570.800 s, System: 31.826 s]
+Range (min … max):   261.573 s … 267.297 s    5 runs
+
+# cargo
+
+base:
+Benchmark 1: cargo build --release
+  Time (mean ± σ):     89.381 s ±  0.460 s    [User: 689.874 s, System: 55.347 s]
+  Range (min … max):   88.605 s … 89.696 s    5 runs
+
+thin:
+Benchmark 1: cargo build --release
+  Time (mean ± σ):     91.208 s ±  0.610 s    [User: 757.353 s, System: 58.558 s]
+  Range (min … max):   90.415 s … 92.112 s    5 runs
+
+fat:
+Time (mean ± σ):     212.215 s ±  2.062 s    [User: 576.259 s, System: 50.961 s]
+Range (min … max):   208.662 s … 213.818 s    5 runs
+
+# ripgrep
+
+base:
+Time (mean ± σ):      7.507 s ±  0.223 s    [User: 64.115 s, System: 4.514 s]
+Range (min … max):    7.357 s …  7.882 s    5 runs
+
+thin:
+Time (mean ± σ):      9.285 s ±  0.019 s    [User: 81.101 s, System: 5.241 s]
+Range (min … max):    9.262 s …  9.308 s    5 runs
+
+fat:
+Time (mean ± σ):     29.202 s ±  0.279 s    [User: 51.015 s, System: 3.652 s]
+Range (min … max):   28.860 s … 29.574 s    5 runs
+
+# triagebot
+
+base:
+Time (mean ± σ):     74.532 s ±  0.378 s    [User: 766.778 s, System: 58.719 s]
+Range (min … max):   74.105 s … 75.109 s    5 runs
+
+thin:
+Time (mean ± σ):     89.505 s ±  0.299 s    [User: 1523.951 s, System: 102.429 s]
+Range (min … max):   89.024 s … 89.796 s    5 runs
+
+fat:
+Time (mean ± σ):     273.275 s ±  1.694 s    [User: 929.604 s, System: 65.856 s]
+Range (min … max):   271.007 s … 275.619 s    5 runs
+"""
+
+data = [
+    {
+        "name": "r-a",
+        "base": 58.150,
+        "thin": 63.999,
+        "fat": 264.606,
+    },
+    {
+        "name": "cargo",
+        "base": 89.381,
+        "thin": 91.208,
+        "fat": 212.215,
+    },
+    {
+        "name": "ripgrep",
+        "base": 7.507,
+        "thin": 9.285,
+        "fat": 29.202,
+    },
+    {
+        "name": "triagebot",
+        "base": 74.532,
+        "thin": 89.505,
+        "fat": 273.275,
+    }
+]
+
+for bench in data:
+    print(f"{bench["name"]} ThinLTO: {bench["thin"] / bench["base"]}")
+    print(f"{bench["name"]} Fat LTO: {bench["fat"] / bench["base"]}")
+
+def avg_of(scenario: str) -> float:
+    avg_percentage = sum([bench[scenario] / bench["base"] for bench in data]) / len(data)
+    return avg_percentage
+
+print(f"ThinLTO: {avg_of("thin")}")
+print(f"Fat LTO: {avg_of("fat")}")