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Parallel implementation of iterative rational Krylov methods for model order reduction

机译:并行有理Krylov方法的模型降阶并行实现

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Model order reduction (MOR) techniques are getting more important in large scale computational tasks like large scale electronic circuit simulations. In this paper we present some experimental work on multiprocessor systems for rational Krylov methods. These methods require huge memory and computational power especially in large scale simulations. Therefore, these methods are fairly suitable for parallel computing.
机译:在诸如大规模电子电路仿真之类的大规模计算任务中,模型阶数减少(MOR)技术变得越来越重要。在本文中,我们介绍了针对有理Krylov方法在多处理器系统上进行的一些实验工作。这些方法需要巨大的内存和计算能力,尤其是在大规模仿真中。因此,这些方法非常适合并行计算。

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