NCP-AII Exam Dumps | During multi-node HPL burn-in, GPUs show uneven utilization. Which configuration ensures balanced workload

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Question 22/86

During multi-node HPL burn-in, GPUs show uneven utilization. Which configuration ensures balanced workload distribution?

A. HPL_RUN_GEMM_TESTS to skip validation

B. Set --gpu-affinity and --cpu-affinity to align GPU and NUMA nodes

C. HPL_OOC_TILE_M to 8192 for larger blocks

D. Enable HPL_USE_NVSHMEM=1 for shared memory acceleration

Correct Answer: B

Setting GPU and CPU affinity aligns each GPU with the appropriate CPU cores and NUMA locality, helping distribute work evenly across the node. This prevents imbalance caused by poor process placement, cross-socket traffic, or mismatched GPU-to-CPU binding during multi-node HPL burn-in.

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