On: Overhead of Python asyncio tasks

[lunfard000]

would you mind sharing the go and python results running on your machine too? It is apples to orange comparation otherwise.

EDIT. My results on a 5950x (undervolted)

python3.8.exe test.py

100,000 tasks 139,130 tasks per/s

200,000 tasks 121,905 tasks per/s

300,000 tasks 120,000 tasks per/s

400,000 tasks 114,286 tasks per/s

500,000 tasks 119,403 tasks per/s

600,000 tasks 117,073 tasks per/s

700,000 tasks 130,612 tasks per/s

800,000 tasks 122,488 tasks per/s

900,000 tasks 120,000 tasks per/s

1,000,000 tasks 110,155 tasks per/s

python3.11.exe .\test.py

100,000 tasks 206,452 tasks per/s

200,000 tasks 185,507 tasks per/s

300,000 tasks 186,408 tasks per/s

400,000 tasks 179,021 tasks per/s

500,000 tasks 167,539 tasks per/s

600,000 tasks 177,778 tasks per/s

700,000 tasks 188,235 tasks per/s

800,000 tasks 180,919 tasks per/s

900,000 tasks 168,421 tasks per/s

.\test.exe (go 1.20 compiled)

100000 tasks 2710563.336378 tasks per/s

200000 tasks 3076885.207567 tasks per/s

300000 tasks 3332292.917434 tasks per/s

400000 tasks 3040479.422795 tasks per/s

500000 tasks 2810232.844653 tasks per/s

600000 tasks 3004138.200371 tasks per/s

700000 tasks 2738877.029117 tasks per/s

800000 tasks 2893730.985022 tasks per/s

900000 tasks 3043877.494077 tasks per/s

1000000 tasks 2857992.089078 tasks per/s