Automated Generation of Performance Values for Algorithmic Differentiation
Automated Generation of Performance Values for Algorithmic Differentiation
复制标题
自动生成算法差异化的性能值
DOI：
10.1002/pamm.201610420
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
N.R. Gauger
中科院分区：
文献类型：
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作者：
M. Sagebaum;T. Albring;N.R. Gauger
从模拟软件到优化软件的转换通常相当麻烦且容易出错。使用微分（AD）可以实现半自动转换，但大多数情况下，修改后的软件的性能特征事先并不清楚。因此，从Griewank的性能模型进行测试对真实的世界的例子和自动测量的性能特点的硬件提出。这使得能够更准确地计算修改后的软件的性能特性。（© 2016 Wiley‐VCH Verlag GmbH & Co. KGaA，魏因海姆）
The transition from simulation software to optimization software is often quite cumbersome and error prone. With Algorithmic Differentiation(AD) a semi automatic transition can be achieved, but most of the times the performance characteristics of the modified software are not clear in advance. Therefore the performance model from Griewank is tested against real world examples and an automated measurement for the performance characteristics of the hardware is proposed. This enables a more accurate calculation of the performance characteristics of the modified software. (© 2016 Wiley‐VCH Verlag GmbH & Co. KGaA, Weinheim)