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Truth in advertising: Reporting performance of computer programs, algorithms and the impact of architecture

机译:广告中的真相:报告计算机程序,算法的性能以及体系结构的影响

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The level of detail and precision that appears in the experimental methodology section computer science papers is usually much less than in natural science disciplines. This is partially justified by different nature of experiments. The experimental evidence presented here shows that the time taken by the same algorithm varies so significantly on different CPUs that without knowing the exact model of CPU, it is difficult to compare the results. This is placed in context by analysing a cross-section of experimental results reported in the literature. The reporting of experimental results is sometimes insufficient to allow experiments to be replicated, and in some case is insufficient to support the claims made for the algorithms. New standards for reporting on algorithms results are suggested.
机译:在实验方法部分的计算机科学论文中出现的详细程度和精确度通常比自然科学学科要低得多。实验的不同性质部分证明了这一点。这里提供的实验证据表明,同一算法在不同CPU上花费的时间差异很大,以至于不知道CPU的确切型号,就很难比较结果。通过分析文献中报道的实验结果的横截面,将其置于上下文中。实验结果的报告有时不足以允许重复进行实验,并且在某些情况下不足以支持针对算法提出的主张。建议了用于报告算法结果的新标准。

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