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.
russell@unturf.com
f24afcc5d9