搜索资源列表
OpenMp
- 并行计算，使用OpenMp计算π值，两种方式；矩阵向量乘法；矩阵乘法-Parallel computing, using OpenMp calculated π values in two ways matrix-vector multiplication matrix multiplication
mpi-matrix_multiple
- c代码，实现矩阵向量相乘的mpi并行计算，适合初学者-c code, matrix-vector multiplication mpi parallel computing for beginners
openmp_mpi_combine
- mpi和openmp混合编程，实现矩阵向量相乘的并行计算，主要是并行开启和终止的示例，适合初学者-mpi and openmp mixed programming, parallel computing matrix-vector multiplication, is an example of a parallel main opening and termination for beginners
VectMultVect
- TMS320C6678 复向量相乘源代码，TMS320C6678是TI公司推出的一款8核DSP，具有强大的并行处理能力，复向量点乘使用汇编语言编写，顶层使用C语言调用，书写简单，方便调用-TMS320C6678 complex vector multiplication source code, TMS320C6678 is TI has introduced an 8-core DSP, a powerful parallel processing capabilities, complex
Dual-Parallel_MUSIC
- 基于双平行线阵的声矢量传感器的MUSIC算法 用于在高斯白噪声环境下估计信号的到2维达角度 -MUSIC algorithm based on dual parallel linear array of acoustic vector sensor it can be used to estimate the signal in Gaussian white noise environment to the two Vader angle
bxMatVect
- 大数量级矩阵乘向量的并行算法设计,c++代码-Large magnitude vector matrix multiplication parallel algorithm design, c++ code
matlab-rotating-calculation
- EasySolve： 求取线性方程组AX+B=0的一组解，若解唯一则直接返回该解，若解不唯一则从解集中随机返回一组 程序会根据方程信息自动计算返回的解的合适数量级和随机中心的偏移量，使得返回随机解的大小合适于调用它的程序。 OrnoBasis： 根据输入向量的维度，返回该维度下的一组标准正交基底，输入的列向量组中的有效向量(非零、线性无关)会被标准正交化并作为基向量、按旧有顺序排在增补列向量的前边。 RotaObj： 任意维度下(>=2)的点集的保形旋转(不变形的旋转，
DeepLearnToolbox_CNN_lzbV2.0
- DeepLearnToolbox_CNN_lzbV2.0 深度学习,卷积神经网络,Matlab工具箱 参考文献: [1] Notes on Convolutional Neural Networks. Jake Bouvrie. 2006 [2] Gradient-Based Learning Applied to Document Recognition. Yann LeCun. 1998 [3] https://github.com/rasmusberg
DeepLearnToolbox_CNN_lzbV3.0
- CNN - 主程序 参考文献: [1] Notes on Convolutional Neural Networks. Jake Bouvrie. 2006 [2] Gradient-Based Learning Applied to Document Recognition. Yann LeCun. 1998 [3] https://github.com/rasmusbergpalm/DeepLearnToolbox 作者：陆振波 电子
dot
- CUDA并行计算向量点积，是GPU高性能计算的代码-CUDA parallel computing vector dot product, is the code GPU High Performance Computing
add_loop_long_blocks
- CUDA并行计算向量加法，是GPU高性能计算的代码-CUDA parallel computing vector addition, the code GPU High Performance Computing
conver_PtoS
- 输入并行数据转为串行数据，并可读写，存为列向量形式。-Enter the parallel data into serial data, and can read and write, stored as a column vector form.
Parafac codes
- PARAFAC源程序，可以用于平行因子分析处理的算法，很全很好用(unction [A,B,C,LLF,I,J,K] = parafac(XPK,I,N,epsilon) % PARAFAC Parallel factor analysis for an three-way data array % The iterative process is continued until that m > 300 or ABS((LF(m)-LF(m-1)) % /LF(m-1)) is l