XMDS2: Fast, scalable simulation of coupled stochastic partial differential equations
XMDS2: Fast, scalable simulation of coupled stochastic partial differential equations
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DOI：
10.1016/j.cpc.2012.08.016
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发表时间：
2013-01-01
影响因子：
6.3
通讯作者：
Johnsson, Mattias T.
中科院分区：
文献类型：
--
作者：
Dennis, Graham R.;Hope, Joseph J.;Johnsson, Mattias T.
XMDS2 是一个跨平台、GPL 许可的开源软件包，用于对初始值问题进行数值积分，范围从单个常微分方程到耦合随机偏微分方程系统。这些方程以基于 XML 的高级脚本进行描述，并且该包生成低级可选并行 C++ 代码，以高效求解这些方程。它结合了高级模拟的优点，即快速和低错误开发，与手写代码的速度、可移植性和可扩展性。 XMDS2 是 XMDS 包的完全重新设计，支持更广泛的问题空间，同时生成更快的代码。 程序摘要程序标题：XMDS2目录标识符：AENK_v1_0程序摘要 URL：http://cpc.cs.qub.ac.uk/summaries/AENK_v1_0.html程序可从以下位置获取：CPC 程序 北爱尔兰贝尔法斯特女王大学图书馆许可条款：GNU 通用公共许可证，版本 2No。分布式程序中的行数，包括测试数据等：872490No.分布式程序的字节数，包括测试数据等：45522370分发格式：tar.gz编程语言：Python和C++。计算机：任何具有类Unix系统、C++编译器和Python的计算机。操作系统：任何类Unix系统：在Mac OS X和GNU/Linux下开发。RAM：问题相关（每个网格大约50字节） 点）分类：4.3、6.5.外部例程：所需的外部库视问题而定。使用 FFTW3 傅立叶变换（仅用于基于 FFT 的谱方法）、dSFMT 随机数生成（仅用于随机问题）、MPI 消息传递接口（仅用于分布式问题）、HDF5、GNU 科学库（仅用于基于 Bessel 的谱方法）和 BLAS 实现（仅用于非基于 EFT 的谱方法）。问题性质：一般耦合初始值 随机偏微分方程。求解方法：谱线法积分法运行时间：由问题的大小决定 (C) 2012 Elsevier B.V. 保留所有权利。
XMDS2 is a cross-platform, GPL-licensed, open source package for numerically integrating initial value problems that range from a single ordinary differential equation up to systems of coupled stochastic partial differential equations. The equations are described in a high-level XML-based script, and the package generates low-level optionally parallelised C++ code for the efficient solution of those equations. It combines the advantages of high-level simulations, namely fast and low-error development, with the speed, portability and scalability of hand-written code. XMDS2 is a complete redesign of the XMDS package, and features support for a much wider problem space while also producing faster code.Program summaryProgram title: XMDS2Catalogue identifier: AENK_v1_0Program summary URL: http://cpc.cs.qub.ac.uk/summaries/AENK_v1_0.htmlProgram obtainable from: CPC Program Library, Queen's University, Belfast, N. IrelandLicensing provisions: GNU General Public License, version 2No. of lines in distributed program, including test data, etc.: 872490No. of bytes in distributed program, including test data, etc.: 45522370Distribution format: tar.gzProgramming language: Python and C++.Computer: Any computer with a Unix-like system, a C++ compiler and Python.Operating system: Any Unix-like system: developed under Mac OS X and GNU/Linux.RAM: Problem dependent (roughly 50 bytes per grid point)Classification: 4.3, 6.5.External routines: The external libraries required are problem-dependent. Uses FFTW3 Fourier transforms (used only for FFT-based spectral methods), dSFMT random number generation (used only for stochastic problems), MPI message-passing interface (used only for distributed problems), HDF5, GNU Scientific Library (used only for Bessel-based spectral methods) and a BLAS implementation (used only for non-EFT-based spectral methods).Nature of problem: General coupled initial-value stochastic partial differential equations.Solution method: Spectral method with method-of-lines integrationRunning time: Determined by the size of the problem (C) 2012 Elsevier B.V. All rights reserved.