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The runtime's low-latency completion thread busy-polls the notification queues (~0.7 CPU per process). With 64 ranks on one host the run queue reached ~470 tasks on 192 CPUs at step boundaries; main threads were preempted (Engram gather 3 ms CPU in 15 ms wall), and a different rank paced the collectives every step. NEURON_RT_XU_WORKER_ENABLE_LOW_LATENCY_COMPLETION=0: decode step 580 -> 522 ms, TPOT 204.5 -> 184.2 ms, TTFT 1.60 -> 1.52 s (vllm-sonnet 512, bucket 512), tokens unchanged. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> |
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| .. | ||
| __init__.py | ||
| base.py | ||
| cache_engine.py | ||
| cuda_graph_runner.py | ||
| decode_perf_cache.py | ||
| dflash_cuda_graph_runner.py | ||
| model_runner.py | ||
| neuron_graph_runner.py | ||
| runtime_config.py | ||
| worker.py | ||
| zos_status.py | ||