MatrixMul_ShareMem

CUDA的基礎的矩陣相乘法，包含CPU版本以及GPU版本(CUDA Matrix)

Hight Performance Computing Demos

compilateur de code source

并行程序,并行离散化算法实现，粗糙集数据挖掘程序(Parallel programming, parallel discrete algorithms, rough set data mining program)

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.)

用此程序可以方便的查讯日期和星期几，还可以查当天和未来几天的．(This procedure can be used to facilitate inquiry date and day of the week, you can check the same day and the next few days.)

进行相关运算时必须要是用的一些步骤,可以解决相关算法的一些问题(Related operations must be used in a number of steps can be solved a number of issues related to algorithm)

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)

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

在学完了并行计算和OPGL之后，努力做了这个程序。小有成就感，还需及需努力(Finished school and OPGL parallel computing efforts, after doing this procedure. Modicum of success a sense of need and the need to)