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Performance Analysis of a Multicore Implementation for Solving a Two-Dimensional Inverse Anomalous Diffusion Problem

机译:求解二维反异常扩散问题的多核实现的性能分析

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In this work we deal with the solution of a two-dimensional inverse time fractional diffusion equation, involving a Caputo fractional derivative in his expression. Since we deal with a huge practical problem with a large domain, by starting from an accurate meshless localized collocation method using RBFs, here we propose a fast algorithm, implemented in a multicore architecture, which exploits suitable parallel computational kernels. More in detail, we firstly developed, a C code based on the numerical library LAPACK to perform the basic linear algebra operations and to solve linear systems, then, due to the high computational complexity and the large size of the problem, we propose a parallel algorithm specifically designed for multicore architectures and based on the Pthreads library. Performance analysis will show accuracy and reliability of our parallel implementation.
机译:在这项工作中,我们处理二维逆时间分数扩散方程的解决方案,涉及他表达中的Caputo分数衍生物。由于我们处理了一个大域的巨大实际问题,通过从使用RBF的准确的无网格局部搭配方法开始,这里我们提出了一种快速算法,以多核体系结构实现,该算法利用合适的并行计算内核。更详细地,我们首先开发了一种基于数字库Lapack的C代码来执行基本的线性代数操作和解决线性系统,然后,由于高计算复杂性和大尺寸的问题,我们提出了一个平行的专门为多核体系结构设计并基于PThreads库的算法。性能分析将显示我们并行实现的准确性和可靠性。

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