CPU scaling benchmark
workers
2 +1 main
iters total
500M
166666666/stream
elapsed
1467.1 ms
total CPU used
4334.5 ms
speedup
2.95×
vs serial
efficiency
98.3%
of 3× ideal
| stream | spawn ms | spawned@ | work start@ | work end@ | work ms | reap wait ms |
|---|---|---|---|---|---|---|
| 0 (main) | 0 | 3.45 | 3.46 | 1441.53 | 1438.07 | 0 |
| 1 | 1.911 | 1.93 | 14.29 | 1462.4 | 1448.11 | 21.05 |
| 2 | 1.483 | 3.43 | 15.65 | 1463.97 | 1448.32 | 23.77 |
main
w1
w2
fork+handshake
CPU work
parent reap wait
what this measures
Each stream runs a tight integer LCG loop — working set is one CPU register, no memory access,
no shared data. Speedup = sum(stream CPU time) / wall-clock elapsed. Efficiency = speedup / (workers+1).
100% efficiency means perfect linear scaling; less than 100% is the cost of serial fork setup,
reap tail, SMT/core contention.