CUDA_Matrix

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.)

一些关于并行计算的资料，对初学并行计算的人会有些许帮助(Information about parallel computing, parallel computing for beginners who have a little help)

实现图像文件与.dat文件之间的转换，在DSP程序中输入数据有用。(The realization of image files with the. Dat file conversion between the DSP program useful input data.)

AMD显卡编程的一些官方参考资料,与nVidia的cuda编程相似(reference materials on AMD APP programming)

多核编程，比 OPENCL 简单 可以通过类似 OPENMP 的方式，简洁的实现异构编程，使用 GPU 计算(Multicore programming than simple OPENCL)

高教出版社的《并行算法实践》一书的源代码，内容为MPI程序源代码(Higher Education Publishing House s Parallel Algorithm for the practice of the book s source code, content for the MPI source code)

OpenCL中文教程(AMD),最好的OpenCL教程，介绍了AMD显卡的OpenCL编程，其中有大量例程，并介绍了OpenCL优化方法(OpenCL Chinese tutorial (AMD), the best OpenCL tutorial introduces the AMD OpenCL graphics programming, including a large number of routines, and introduces OpenCL optimization method)

CUDA平行的優化，以矩陣乘法為基礎。透過ShareMemory做加速(CUDA ShareMem)

compilateur de code source

LU算法的MPI串行实现，矩阵维数无要求，可在曙光4000A并行机运行(The LU algorithm MPI serial implementation matrix dimension requirements Dawning 4000A parallel machine running)