搜索资源列表
Cannon.rar
- 本程序采用vc2005结合openmp实现了并行矩阵相乘的cannon算法,This procedure combines the use of vc2005 OpenMP parallel realization of the cannon matrix multiplication algorithm
matvec
- 矩阵向量的MPI乘法,butong de fangfa -mpi inor matrix vect
juzhenyunsuan
- 本程序能完成矩阵的输入、输出。具有相同行数和列数的矩阵间的加法、减法。符合矩阵乘法规则要求的矩阵间的乘法。方阵间的除法，方阵的求逆。矩阵的求转置矩阵等功能。-This procedure to complete the matrix input and output. Have the same number of rows and rows of the matrix between the adder, subtraction. Comply with the requirements of
omp_matrix_multiply
- C代码。共享式存储多线程并行计算矩阵相乘代码。适合于SMP结构和多核。-C code. Shared memory multi-threaded parallel computing code matrices. Fit in the structure and multi-core SMP.
EE
- 这个程序实现了计算矩阵特征值，包括最大的和最小的。-This program enables calculation of matrix eigenvalues, including the largest and smallest.
parallel-invert
- 矩阵求逆的并行计算实现，带数据 mpi+vc6.0-parallel compute of matrix inverse
vector_matrix_multiplication
- 稀疏矩阵与向量相乘 算法 C语言 并行计算-Sparse matrix and vector multiplication
Cannon
- 实现了矩阵乘法的cannon算法。用MPI编程，在并行环境中可运行-Cannon implements matrix multiplication algorithm. Programming with MPI, can run in parallel environment
linjiejuzheng
- 邻接矩阵 邻接矩阵（Adjacency Matrix）：是表示顶点之间相邻关系的矩阵。设G=(V,E)是一个图，其中V={v1,v2,…,vn}。-Adjacency matrix adjacency matrix (Adjacency Matrix): is the relationship between the vertex between the adjacent matrix. Let G = (V, E) be a graph, where V = {v1, v2, ..., vn}
cuda+mpi
- 并行计算中矩阵相乘的mpi和cuda两种方法，已完成检验，有结果输出(In parallel computing, two methods of matrix multiplication, MPI and CUDA, have been tested and output with results)
mpi_mat_vect_time
- 使用mpi编写的进行矩阵乘法运算的并行程序。(An parallel program using MPI to realize the multiplication of matrices.)
Cannon乘法
- 基于MPI的cannon算法，实现矩阵的相乘(Based on MPI's cannon algorithm, the multiplication of matrix is realized)
第一次实验程序
- 矩阵乘法的不同循环方式的算法实现，比较了各种算法所用时间的长短(Matrix multiplication of different cycle mode algorithm, compared to the length of time used in various algorithms)
mult88
- 两个8*8矩阵相乘，每个矩阵内部元素相同，简化运算；modelsim编译仿真，ise或vivado下载，实现FPGA显示。(Two 8*8 matrix multiplication, each element of the same matrix, simplifying the operation; Modelsim compiler simulation, ISE or vivado download, to achieve FPGA display.)
CUDA SPMV
- 稀疏矩阵向量乘法（Sparse Matrix-Vector Multiplication, SpMV）在许多科学计算程序中都有广泛的应用。数据矩阵A 是稀疏的，输入向量x 和输出向量y是稠密的。 y = Ax(Sparse Matrix-Vector Multiplication (SpMV) is widely used in many scientific computing programs. The data matrix A is sparse, the input vector x
matrix
- 矩阵乘法的vhdl语言版本，可以实现简单的乘法(Matrix multiplication)
矩阵向量
- 带状划分的矩阵向量乘法。数据文件是40*40的算例。(The file is prepared for solving A*b, in the Date there is an example for A which is a 40*40 matrix)
matmul.tar
- 矩阵乘法的多线程并行实现，包括：simple，采用openmp对索引顺序ijk（一般写法）的循环实现并行；opt，采用openmp对索引顺序ikj（向量化友好）的循环实现并行；mkl，调用高性能数学库实现矩阵乘法。(Multi-thread parallelization of matrix-matrix multiplication: "simple" case, ijk loop (usual pattern); "opt" case, ikj (ve
Mutilayer
- 通过传递矩阵理论计算多层膜结构的反射及透射率(Calculation of reflection and transmittance of multilayer structures by transfer matrix theory)
pradiso
- 利用Fortran中自带的Pardiso库函数解决稀疏矩阵，其利用ＣＳＲ格式储存数据（附带例子）(The Pardiso library function in Fortran is used to solve the sparse matrix, which stores data in CSR format (with examples))