lu

OpenCL1.2版本的扩展功能用户手册。(OpenCL1.2 version of the Expansion Function User' s Manual.)

说明：  Parallel Computing for some samples!

MPI编程－Nbody问题并行程序（计算1000个天体的移动，天体数据由文件sample_input.in读入，结果输出到文件result1000.data）(MPI Programming-Nbody Parallel (1000 calculated the movement of celestial bodies, Objects sample_input.in data from the document read into, Results output to a file result1000.data))

使用CUDA并行语言编写的矩阵乘法，与串行语句的对比试验，主要检测出CPU与GPU运行的时间，通过比较时间，达到比较效果。另外此程序可以随意更改矩阵的维数，增强程序的移植性。(CUDA parallel language use matrix multiplication, and serial statement comparison test, the main test of CPU and GPU to run time, by comparing the time, to compare results. Also this program can change the dimension of the matrix, and enhanced portability of the program.)

MPICH是MPI的重要研究,提供了一系列的接口函数,为并行计算的实现提供了编程环境.(MPICH is an important MPI Research, has provided a series of interface functions, for the realization of parallel computing provides a programming environment.)

介绍

可以检测出气候的异常值，从而进行分析极端气候事件。(The outliers of climate can be detected and analyzed.)

一本将基于近邻传播算法的半监督聚类的算方法书.对于聚类研究的很有帮助(Abstract: A semi-supervised clustering method based on affinity propagation (AP) algorithm is proposed in this paper. AP takes as input measures of similarity between pairs of data points. AP is an efficient and fast clustering algorithm for large dataset compared with the existing clustering algorithms, such as K-center clustering. But for the datasets with complex cluster structures, it cannot produce good clustering results. It can improve the clustering performance of AP by using the priori known labeled data or pairwise constraints to adjust the similarity matrix. Experimental results show that such method indeed reaches its goal for complex datasets, and this method outperforms the comparative methods when there are a large number of pairwise constraints. )

using NVIDIA FFT CUDA Library to solve FFT problem

说明：  c语言写的二维vti介质地震波正演程序，能实现并行计算，调试通过。(The program written in C language can realize parallel calculation and debugging.)