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• W1727032912 abstract "Model order reduction of a dynamical linear time-invariant system appears in many applications from science and engineering. Numerically reliable SVD-based methods for this task require in general $mathcal{O}(n^3)$ floating-point arithmetic operations, with n being in the range 103 − 105 for many practical applications. In this paper we investigate the use of graphics processors (GPUs) to accelerate model reduction of large-scale linear systems by off-loading the computationally intensive tasks to this device. Experiments on a hybrid platform consisting of state-of-the-art general-purpose multi-core processors and a GPU illustrate the potential of this approach." @default.
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• W1727032912 date "2012-01-01" @default.
• W1727032912 modified "2023-09-28" @default.
• W1727032912 title "Accelerating Model Reduction of Large Linear Systems with Graphics Processors" @default.
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• W1727032912 doi "https://doi.org/10.1007/978-3-642-28145-7_9" @default.
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