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异构负载与系统中基于机器学习的自适应排序算法 ...
通过构建包含STL sort、Merge sort及并行算法的性能预测模型,实现99.68%的最优算法选择准确率,较现有技术提升1.83×性能。 该研究为异构系统下的高效数据管理提供了创新解决方案。 在数据爆炸式增长的时代,排序算法已成为从物联网设备到超级计算机的核心组件。
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