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    HPL测试性能仿真与预测

    Emulation and Forecast of HPL Test Performance

    • 摘要: HPL是大规模并行系统广泛采用的Linpack测试软件包.在HPL程序算法分析和实践测试的基础上,发掘了理论确定矩阵分块大小NB的规律,突破了长期以来对尝试性实验的依赖.进而将算法复杂性的估算提升到测试程序执行时间的精度,并建立HPL测试仿真模型,对执行时间进行更细致的评估.同时,在大量真实测试验证的基础上,利用该模型对各种系统性能提高因素将带给Linpack测试的益处进行预见,期望为体系的改进方向提供参考.

       

      Abstract: HPL is a Linpack benchmark package widely used in performance test of massively parallel systems. A law to determine block size NB theoretically, which breaks through the dependence on trial-and-error experiments, is found based on algorithm analysis and real test of HPL. According to that law, estimated execution time can be obtained through algorithm complexity. An emulation model is constructed to estimate the HPL execution time in more detail. Verified by real system test, the model is used to forecast the benefits of Linpack test brought by the intending system improvement. It is expected to afford reference to system improvement on optimizing HPL test in the future.

       

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