P03-Tk_Clock.py

资源描述VS_cuda并行计算 两基于vs实现的.cu代码 简单的实现矩阵相乘和反转。

本程序是cuda语言实现向量相加的例子，通过这个例子可以学习cuda的基本语法格式，

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)

Bitonic order implementation code with mpi usage

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.)

利用Python实现特征的MinMax标准化和Z-Score标准化两种特征归一化方法。并用原特征、两种归一化特征分别进行模型训练，比较模型性能。(Two normalization methods of MinMax normalization and Z-Score standardization are implemented by Python. The model is trained by the original feature and two normalization features respectively, and the performance of the model is compared.)

compilateur de code source

本软件是关于卡尔曼滤波的算法，是在MATLAB环境下的程序。(kalman filter)

MPI编程的典型案例，适合初学者学习使用，有很大的帮助作用(MPI programming typical case, suitable for beginners to learn to use, there are very helpful)

详细的kmp并行算法实现源代码，在机群系统上适用，并附加详细的算法说明(Kmp parallel algorithm in detail the source code for the cluster systems, and additional details of the algorithm description)