Unverified50% confidenceFactExact time
Non-determinism refers to the phenomenon where the same input may produce slightly different outputs across different runs, which is especially common in models that use GPU parallel computation, dropout layers, or stochastic sampling strategies.
1
Sources
50%
Confidence
Long-term
Relevance
8/13/2026
First Seen
Sources
ml-pipes：将软件工程最佳实践内建到ML推理管道
Related Claims
UnverifiedIn GPU parallel reduction, because floating-point operations do not satisfy the associative law, differences in the execution order of different warps cause deviations in numerical results, which is the root cause of non-determinism.76% similarUnverifiedNon-deterministic GPU operations are designed to prioritize performance over determinism; forcing a fixed execution order introduces numerous synchronization barriers that significantly reduce parallel efficiency.71% similarUnverified实际部署中因并行计算的浮点非确定性可能产生细微差异并随链式生成放大70% similarUnverified诊断本地推理性能应先用nvidia-smi观察显存占用和GPU利用率，若显存跑满而利用率忽高忽低则可判定为CPU卸载导致69% similarUnverified在GPU的SIMT执行模型下，Karatsuba算法的递归分解会引发线程分歧，有效计算效率可能降至峰值的1/4甚至更低69% similar
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