russell@unturf.com
f24afcc5d9
Wrote examples/cuda-fanout/bench_tiers.py — spawns a worker per tier, fires N TCP round-trips at three workload sizes through the warm daemon, reports median + p99. Measured on 3090-ai, daemon warm: workload Python C tier C win small (3 × 16 B) 1.27 ms 0.14 ms 9.1× small (100 × 16 B) 3.46 ms 0.41 ms 8.4× medium (1000 × 16 B) 23.51 ms 2.67 ms 8.8× Ratio stays at ~9× across the grid — the per-byte cost of Python's S-expression reader/printer compared to the C tier's reader. Justifies the LUMBDA=c default landed in the previous commit. asm tier worker starts up & listens (after the launch script predefines *argv* '()), but bench script saw malformed responses on this run — likely a write-to-string format difference between asm & Python/C reader. Leaving for follow-up; published numbers cover the tiers that completed end-to-end. www/index.html bend section gains the measured table under a new 'Tier choice for the worker host' subsection. Replaces the earlier hand-wavy ~10× claim with the actual measured numbers. |
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