搜索资源列表
MPI_Bcast
- 矩阵相乘的LU算法的MPI并行实现源码，采用连续行划分方法。-MPI parallel implementation of matrix multiplication, LU algorithm source code, a continuous line of division method.
Matrix-multiplication
- 采用共享内存的矩阵乘法的CUDA实现，是一种并行实现方式-Matrix multiplication
cannon
- 用MPI实现矩阵乘cannon算法的并行实现。-Parallel MPI implementation matrix multiplication cannon algorithm implementation
juzhenxiangcheng
- 矩阵相乘的并行算法，矩阵是按行分类的，还有按列分类的算法-Parallel algorithm for matrix multiplication, matrix classification by line, column classification algorithm
MatMultop
- 矩阵乘法OpenMP并行计算程序 线程数可以设定-The matrix multiplication OpenMP parallel computing program the number of threads that can be set
Matrix
- 矩阵相乘并行计算程序 C——C++边写 已实现-Matrix multiplication parallel program
stripMatrixMultiplus
- MPI带状划分矩阵乘法 MPI文件并行读写-MPI the striping matrix multiplication MPI parallel read and write files
Gauss
- 高斯消去的并行程序，测试在不同规模的系数矩阵下、不同处理器核心数量下，程序的运行时间-Parallel Gaussian elimination procedure, test coefficient matrix in different sizes, different number of processor cores, the program running time
MatrixMultiplication_OpenCL
- 矩阵相乘并行计算方法，基于OPENCL通用计算接口。-Parallel matrix multiplication calculation method, based OPENCL general computing interface.
matrix
- 矩阵相乘并行算法MPI源程序 并行思想加快速度-MPI parallel matrix multiplication algorithm source code parallel thinking speed
spmv_csr
- 稀疏矩阵的DIA/ELLPACK/COO/CSR/HYB表示形式，以及各表示形式下的稀疏矩阵乘法（稀疏大矩阵*矢量）的CUDA实现。对于矩阵中每一行稀疏元素个数较统一的情况，ELLPACK表示最佳，其次是HYB（ELL+COO）。 CUDA™ 是一种由NVIDIA推出的通用并行计算架构，该架构使GPU能够解决复杂的计算问题。 它包含了CUDA指令集架构（ISA）以及GPU内部的并行计算引擎。 开发人员现在可以使用C语言来为CUDA™ 架构编写程序-Sparse matri
cengci_bingxing
- 一种层次聚类算法的并行改进，采用MPI编程，对三角矩阵的求解实现并行-A hierarchical clustering algorithm to improve parallelism, using MPI programming, parallel solving triangular matrix
summa
- 矩阵相乘的SUMMA算法的并行实现，包含了实验结果演示。-SUMMA matrix multiplication algorithm for parallel implementation, including the experimental results presentation.
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.
SWAP
- nvidia 提供的关于矩阵交换的并行程序，平台是opencl，内有详细注解。-nvidia provided on the matrix of the parallel exchange program, the platform is opencl, with detailed notes.
SWAP
- nvidia 提供的关于矩阵交换的并行程序，平台是opencl，内有详细注解。-nvidia provided on the matrix of the parallel exchange program, the platform is opencl, with detailed notes.
C-PPopenmp
- C ++实现并行矩阵openmp。使用多线程编程，线程间可以共享矩阵的数据结构等信息，不要使用多进程编程。-C++ parallel matrix openmp. The use of multi-threaded programming, the matrix can be shared between threads data structures and other information, do not use multi-process programming.
number-display
- 利用实验箱上的8255A可编程并行接口芯片和矩阵键盘，编写程序，做到在键盘上每按一个数学键（0~F），用发光二极管将代码显示出来。 连线方法：将键盘RL10~RL17接8255A的PB0~PB7；KA10~KA12接8255A的PA0~PA2；PC0~PC7接发光二极管的L1~L8；8255A芯片的片选信号8255CS接CS0-The use of experimental box 8255A programmable parallel interface chip and matrix k
MUMPS_4.10.0.tar
- 快速并行求解稀疏矩阵，主要用在linux系统下运算-Fast parallel solving sparse matrix, mainly used in the linux system operator
Parallel-Reduction
- 运用并行规约的思想在GPU端实现两个大型矩阵的求和运算，CUDA编程-Using the idea of a parallel realization of the Statute of the GPU side two large matrix summation, CUDA