Parallel computational fluid dynamics : multidisciplinary by G Winter; et al PDF

By G Winter; et al

ISBN-10: 0080460968

ISBN-13: 9780080460963

ISBN-10: 0444520244

ISBN-13: 9780444520241

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Extra resources for Parallel computational fluid dynamics : multidisciplinary applications : proceedings of the Parallel CFD 2004 Conference, Las Palmas de Gran Canaria, Spain (May 24-27, 2004)

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In the distributed FFT, calculations of some stages of one-dimensional FFT are accomplished by exchanging the data at the same time when they are necessary. It is sometimes suitable for parallel computers whose network performance among the distributed computational components is higher than CPU performance of each component. In the transpose FFT, on the other hand, one-dimensional FFT of any of the three directions is always completed with no data transfer in each computational component and the data is re-aligned by data transposition whenever one-dimensional FFT is applied to the distributed direction.

4) Remote Direct Memory Access: The communication of the data required for the data transpose can be performed by remote direct memory access (RDMA) function. 3. Hybrid Programming and Its Performance There are two types of parallel programming models available on the ES. One is a flat programming model, in which a parallel program is implemented by MPI interfaces only both within a node and among nodes. The other is a hybrid programming model, in which a parallel program written by using thread programming within a node and MPI programming among nodes simultaneously [7].

INTRODUCTION This paper is devoted to the problem of aerodynamic shapes optimization via minimization of total drag. First, it should be clarified, why is the issue that important. Or, in other words, what is the issue cost? To answer the question, consider the task of delivering a payload between distant destinations. 0% increase in drag. Since most airlines operate on small margins this service most likely will no longer be a profit-generating venture. This illustrates that a 1% delta in total drag is a significant change.

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Parallel computational fluid dynamics : multidisciplinary applications : proceedings of the Parallel CFD 2004 Conference, Las Palmas de Gran Canaria, Spain (May 24-27, 2004) by G Winter; et al


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