Claude e37b4d283b env(yaml): CCCL buddy_allocator pattern — PYTORCH_CUDA_ALLOC_CONF + OMP_NUM_THREADS
CCCL buddy_allocator.cu teaches: control memory block fragmentation
at the allocator level. Sub168 OOM trace shows 'max_split_size_mb'
suggestion. Adding PYTORCH_CUDA_ALLOC_CONF=max_split_size_mb:512
prevents PyTorch memory fragmentation that caused Sub168's final OOM.

OMP_NUM_THREADS=1 matches Sub168 docker log:
  'Reducing Torch parallelism from 64 threads to 1'

CCCL device_reduce policy_selector pattern: hardware-adaptive params
through environment, not code changes. computility-run.yaml env vars
are the serving-safe equivalent of CCCL policy_selector.
2026-08-08 07:36:03 +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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