资源列表
107215827mpisourceprogram
- 该源码使用MPI并行语言实现Cannon数值算法,在Linux下测试实现.需要配置多节点分布环境 -mpi matrix
mpi-code
- 并行程序设计源码(转载)包过 FFT Sort -parallel code including FFT Sort and so on
Billiard
- Descr iption: This Program Performs the following: (1) Animates the movement of a Billiard Ball on a table that has a surface friction (mu) and coefficient of restitution (e) for the sides and saves it as an AVI file. (2) Outputs series of row
kfs-0.3.tar
- 来自startup的垂直搜索引擎http://www.kosmix.com/的开源项目，又一个开源的类似google mapreduce 的分布式文件系统，可以应用在诸如图片存储、搜索引擎、网格计算、数据挖掘这样需要处理大数据量的网络应用中。与hadoop集成得也比较好，这样可以充分利用了hadoop一些现成的功能，基于C++。-Applications that process large volumes of data (such as, search engines, grid compu
EE
- 这个程序实现了计算矩阵特征值，包括最大的和最小的。-This program enables calculation of matrix eigenvalues, including the largest and smallest.
jisuansuanfa
- 主要描述递归的概念， 掌握设计有效算法的分治策略。 通过下面的范例学习分治策略设计技巧。-Will describe the concept of recursion to master the design of effective algorithm for sub-rule strategy. Examples of learning through the following sub-rule strategy of design skills.
Gaussian_parelel_calculation
- gaussian的简单应用 尤其是在unix环境下的应用 并行计算-gaussview a simple application, especially in the unix environment, the application of parallel computing
Gaussian03intro
- gaussian03程序的应用 各种方法的实现 并行计算的实现方式-gaussian03 their application in a variety of methods to achieve the realization of parallel computing methods
An_Introduction_to_Basis_Sets
- gaussian程序中的各种函数的应用 基组的选择和应用环境-gaussian process a variety of functions in the application of basis set selection and application environment
DensityBasics
- 密度基组在gaussian03程序中的应用 各种密度基组的生成和应用环境-Density-based group gaussian03 program application of the density-based group of the generation and application environment
STP
- 通过查阅生成树算法和并行算法的相关文献，总结出生成树的算法思想，然后结合本论文得到其算法的基本思想。-Through access to spanning tree algorithm and parallel algorithms related literature, summed up the ideological spanning tree algorithm, and then combine this paper are the basic idea of the algorith
pso
- 简单粒子群算法 能优化但目标函数 算法简单 效果好-A simple particle swarm optimization algorithm to optimize the objective function, but simple and good results