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Proceedings of the Seventh International Conference on Parallel, Distributed, GPU and Cloud Computing for Engineering最新文献

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Avoiding Communication in Two-Sided Krylov Subspace Methods 避免双向Krylov子空间方法中的通信
E. Carson, Nicholas Knight, J. Demmel
Abstract : The cost of an algorithm is a function of both computation, the number of arithmetic operations performed, and communication, the amount of data movement. Communication cost encapsulates both data movement between levels of the memory hierarchy and between processors, and the number of messages in which the data is sent. In terms of performance, communication costs are much greater than computation costs on modern computer architectures, and the gap is only expected to widen in future systems. Therefore, in order to increase the performance of an algorithm, we must turn to strategies to minimize communication rather than try to decrease the number of arithmetic operations. We call this a communication-avoiding (CA) approach to algorithmic design.
摘要:算法的代价是计算量(执行的算术运算次数)和通信量(数据移动量)的函数。通信成本封装了内存层次结构级别之间和处理器之间的数据移动,以及发送数据的消息数量。就性能而言,现代计算机体系结构上的通信成本远远大于计算成本,而且在未来的系统中,这种差距只会扩大。因此,为了提高算法的性能,我们必须转向最小化通信的策略,而不是试图减少算术运算的数量。我们将此称为算法设计的避免通信(CA)方法。
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引用次数: 21
Hybrid Parallelization of Discrete Element Software for Heterogeneous Resources 异构资源下离散元软件的混合并行化
O. Bystrov, R. Pacevič, A. Kačeniauskas
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引用次数: 0
Automated Persistence of Subdomain Calculations in Finite Element Domain Decomposition 有限元域分解中子域计算的自动持久化
I. Kucuk, Mustafa YILMAZ
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引用次数: 0
Parallel software for Simulation of Emission Processes in Strong Electromagnetic Fields 强电磁场中发射过程模拟的并行软件
S. Polyakov, T. Kudryashova, N. Tarasov
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引用次数: 0
Efficient mesh deformation based on randomized RBF solvers 基于随机RBF求解的高效网格变形算法
W. Bader, A. Parret-Fréaud, S. Da Veiga, Y. Mesri
Mesh deformation methods have been widely used for the past decades in various fields such as fluid-structure interaction, aerodynamic shape optimization, unsteady and aeroelastic computational fluid dynamics. Among the existing methods, radial basis functions interpolation (RBF) [1] is particularly suitable for unstructured mesh applications due to its simplicity and the high quality of the resulting mesh. Such approach requires solving dense linear systems, generally symmetric positive definite (SPD), which tends to be computationally expensive and memory demanding, which is a major drawback when dealing with large-scale meshes [2, 3].
在过去的几十年中,网格变形方法在流固耦合、气动形状优化、非定常和气动弹性计算流体动力学等各个领域得到了广泛的应用。在现有的方法中,径向基函数插值法(radial basis functions interpolation, RBF)[1]因其简单且得到的网格质量高而特别适用于非结构化网格应用。这种方法需要求解密集的线性系统,一般对称正定(SPD),这往往是计算昂贵和内存需求,这是处理大规模网格时的一个主要缺点[2,3]。
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引用次数: 0
Multisplitting Methods for Singular Nonlinear Systems 奇异非线性系统的多重分裂方法
J. Arnal
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引用次数: 0
A Python Interface for Symbolic and Vectorized Computation of Finite Element Matrices 有限元矩阵符号和矢量化计算的Python接口
Mustafa YILMAZ
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引用次数: 0
Schwarz domain decomposition algorithms to solve radiative transfer equation 求解辐射传递方程的Schwarz域分解算法
E. Strakova, T. Brzobohatý
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引用次数: 0
期刊
Proceedings of the Seventh International Conference on Parallel, Distributed, GPU and Cloud Computing for Engineering
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