论文标题
部分可观测时空混沌系统的无模型预测
Manapy: MPI-Based framework for solving partial differential equations using finite-volume on unstructured-grid
论文作者
论文摘要
Manapy是用于偏微分方程（PDE）解决方案的平行，非结构化的，有限体积的求解器。该框架是使用Python编写的，它是面向对象的，并且以易于理解和修改的方式进行组织。在本文中，我们介绍了在PDE的一般情况下使用的差分运算符的并行实现和可扩展性。在最新的高性能计算系统上评估了在血浆物理学中求解大型线性方程式的大量稀疏系统的大规模直接和迭代方法的性能，并介绍了血浆物理学的3D测试用例。
Manapy is a parallel, unstructured, finite-volume based solver for the solution of partial differential equations (PDE). The framework is written using Python, it is object-oriented, and is organized in such a way that it is easy to understand and modify. In this paper, we present the parallel implementation and scalability of the differential operators used on a general case of PDE. The performance of massively parallel direct and iterative methods for solving large sparse systems of linear equations in plasma physics is evaluated on a latest high performance computing system, and 3D test cases for plasma physics are presented.
