Claude d44ec4d8db perf(qwen3_5): CCCL block_reduce_warp_reductions → reduce DeltaNet loop iterations
CCCL design: when sequential path (Python forward substitution) dominates,
reduce per-unit work by halving chunk_size from 32→16.
15 loop iterations beats 31, even with 2× more chunks.

Also: add weight-skip warning logs (CCCL ScatterDirect pattern: never
silently discard data). Docker logs will now show exactly which weights
are skipped during load_weights, explaining the 1.12GB gap vs Sub168.

CCCL sources this round:
- block_reduce_warp_reductions.cuh: sequential vs parallel path selection
- warp_exchange_smem.cuh: INSERT_PADDING for memory alignment
- agent_reduce_by_key.cuh: TempStorage union + ScatterDirect
2026-08-08 08:01:56 +00:00
2026-08-07 08:43:51 +00:00
2026-07-30 17:03:23 +08:00
2026-08-07 07:47:01 +00:00

project_6

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