e37b4d283baeb72e4a908d91831a38f795e2acbc
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.
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