搜索资源列表
matriccaculator
- 可对任意两个矩阵做加法、减法、乘法等运算；同时可对单个矩阵求转置矩阵、三角分解、奇异值分解等操作，功能强大。
LUGPU1.0
- 使用GPU的强大并行计算能力来实现稠密矩阵的LU分解计算。
qr
- 矩阵QR分解的算法，使用openMP实现， 请在支持并行计算的机器上编译运行-Matrix QR decomposition algorithm, the use of openMP implementation, to support parallel computing in the compile and run on the machine
lu.rar
- 这是用并行程序语言MPI做的关于矩阵LU分解的程序，程序中很好的实现了分解过程的并行性。,This is used MPI parallel programming language to do LU decomposition on the matrix of the procedures, procedures to achieve a good decomposition process parallelism.
openmp
- openmp实现矩阵乘法，采用行列分解算法-openmp matrix multiply openmp matrix multiply
LUdep
- 一个不错的矩阵LU分解的并行算法的MPI源程序-a MPI source code for LU decomposition s parallel algorithm
lu_mpi
- 矩阵LU分解的C/C++ + MPI实现-Matrix LU decomposition of C/C+++ MPI implementation
18-6
- 该代码为矩阵qr分解的并行算法，采用的是MPI编程方法-The code for the matrix qr decomposition parallel algorithms, using the MPI programming
lu_omp
- 矩阵LU分解的C/C++ + Openmp实现-Matrix LU decomposition of C/C+++ Openmp achieve
LUwithOpenMP
- 用OpenMP实现的LU矩阵分解算法，选择了合适的并行颗粒度，速度快。-LU decomposition with OpenMP
ludep
- mpi_lU 并行算法,矩阵分解的并行算法-mpi_lu parallel
my_ludep
- 矩阵LU分解的并行实现，文档中给出了不同矩阵规模和处理器数下的实验结果。-Matrix LU decomposition parallel implementation, the document gives a different matrix size and the number of processors under the experimental results.
MatrixFullRank
- CPU和GPU上的利用CUDA实现矩阵的LU、QR和全秩分解、以及一些矩阵变换和运算程序。-On the CPU and GPU matrix by using CUDA, LU, QR, and full rank decomposition, as well as some matrix transformation and operation procedures.
MPI
- 矩阵分解MPI实现，在KD60的平台下，利用Linux操作系统下进行操作，运行程序。-Matrix decomposition MPI implementation, at KD60 platform, operating under the use of Linux operating system, run the program.
MLNMF_Demo
- matlab——多层非负矩阵分解光谱解混代码-Spectral Unmixing of Hyperspectral Imagery Using Multilayer NMF