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n_jobs para and parallel issues #149

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ZYFno996 opened this issue Jul 26, 2024 · 0 comments

ZYFno996 commented Jul 26, 2024

您好，我使用了两个版本的python做了测试，发现传入n_jobs参数均无法实现满负载的多核并行计算，每个核心占用平均~40%。

作为对照，同样的数据和配置使用sklearn-RandomForest测试，python 3.8下能够实现满负荷计算，且有效缩短计算时间，python 3.7下负载只有~60%，效率提升有限。

版本信息：
CPU: AMD EPYC 7532 (64C128T)
MEM: DDR4 2666 128G (4 channels)
OS: Windows Server 2022

测试信息：
python 3.7 & 3.8
numpy 1.12 & 1.23
n_jobs=-1 & 8 & 32 & 60

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