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MPI Management of Hermite Collocation Computation on a Distributed-Shared Memory System

机译:分布式共享内存系统上的Hermite搭配计算的MPI管理

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摘要

The organization and management of the intense computation involved in the solution of large, sparse and non-symmetric systems of equations, arising from the discretization of Elliptic Boundary Value Problems (BVPs) by the Hermite Collocation method, on a Distributed-Shared Memory (DSM) multiprocessor environment is the problem considered herein. As the size of the problem directly suggests the usage of iterative methods, we consider the parallel implementation of the Successive Over-Relaxation (SOR) and the preconditioned Bi-Conjugate Gradient Stabilized (Bi-CGSTAB) methods on DSM systems. Using the parallel algorithms we devised in [9, 10], which take advantage of the red-black structure of the Collocation matrix, we address the problem of efficiently managing the whole computation, through the MPI programming model, on a DSM system. The application was developed on a SGI Origin 350 DSM multiprocessor computer and its performance is revealed by the speedup measurements included.
机译:大型计算,稀疏和非对称方程组解决方案中涉及的大量计算的组织和管理,这是通过在分配共享内存(DSM)上通过Hermite搭配方法将椭圆边值问题(BVP)离散化而产生的)多处理器环境是本文考虑的问题。由于问题的大小直接表明了迭代方法的使用,因此我们考虑了在DSM系统上并行执行连续过度松弛(SOR)和预处理的双共轭梯度稳定(Bi-CGSTAB)方法。使用我们在[9,10]中设计的并行算法,该算法利用了并置矩阵的红黑结构,可以解决在DSM系统上通过MPI编程模型有效管理整个计算的问题。该应用程序是在SGI Origin 350 DSM多处理器计算机上开发的,其性能通过包含的加速测量得以揭示。

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