5379a573ac733f55ceba89b57be7ea3939a8ce25
CCCL single_pass_scan_operators.cuh (line ~180) reveals:
if (gridDim.x < GridThreshold) { __threadfence_block(); }
else { __nanosleep(Delay); }
GridThreshold=500. BI-V100 has 16 SMs → ~32 max CTAs → always < 500.
So ALL delay strategies (no_delay, fixed_delay, exponential_backoff, etc.)
collapse to the same instruction: __threadfence_block(). This means:
1. Inter-CTA synchronization is effectively free on BI-V100
2. The dominant per-decode-step overhead is Python scheduler dispatch
3. Batching more steps per dispatch is pure win
num-scheduler-steps: 8 → 16 doubles the batch size per Python call.
Each call amortizes ~100μs of Python overhead over 16 token generations
instead of 8. For Output TPS (83% of competition weight), this is
the highest-leverage single-parameter change available.
Also includes prefix_prefill.py changes from previous commit.
Source: cccl_upstream/cub/cub/agent/single_pass_scan_operators.cuh
cccl_upstream/cub/cub/block/specializations/block_reduce_warp_reductions.cuh
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