搜索资源列表
multi_pi_matrix
- lab1为多线程计算圆周率的程序 lab2为多线程计算矩阵乘法的程序 有实验报告和说明文档
juzhenchengfa
- 该程序为在一个并行计算矩阵乘法的程序,需要在LINUX中安装MPI函数包。大家可以学习一下,感受一下并行计算的原理-The program for the calculation of matrix multiplication in a parallel process, you need to install the MPI function LINUX package. We can learn about and experience the principle of parallel
mpicannon
- 矩阵乘法并行计算的connon算法,fortran语言-Parallel computing connon matrix multiplication algorithm, fortran language
parallel
- 本程序是简单的矩阵乘法的并行计算实现,实现了均衡分配。-The procedure is simple matrix multiplication parallel computing to achieve, to achieve a balanced distribution.
canon
- 并行计算实验,用于矩阵乘法的计算,canon算法,使用mpi方法-algorithm includes openmp,pthread,mpi,mapreduce and so on
source
- 矩阵乘法的并行计算实现,提高效率,实用简单-Matrix multiplication parallel computing to achieve, improve efficiency, simple and practical
matrix
- visual studio编写的C++程序,程序利用四种不同方法计算矩阵乘法- visual studio written C++ program, the program using four different methods to calculate the matrix multiplication
mul
- 基于CUDA C的程序,可以对任意矩阵进行矩阵乘法,目前仅用全局存储器进行数据计算,相比于传统CPU程序,计算效率明显提升。程序结构简洁,内有注释,方便学习,如有不足之处,方便批评指正。-Based on CUDA C programs can be arbitrary matrix matrix multiplication, the current global memory for data only, compared to traditional CPU program, comput
Muliticore
- 在Linux/Windows平台上实现单精度浮点的矩阵乘法,在Linux/Windows平台上用多线程方法实现浮点向量的点积计算,多核的经典入门必学算法-In Linux/Windows platform to achieve single-precision floating-point matrix multiplication, in Linux/Windows platform using multi-threading methods to achieve floating point
Matrix
- 一个简单的用MPI实现并行计算矩阵乘法的程序-MPI implementations use a simple matrix multiplication parallel computing program
mult
- CUDA编程下的并行矩阵乘法,每个线程计算一个元素。-Parallel algorithm on Matrix Multiply on CUDA
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
GPU高性能编程CUDA实战—示例代码
- 结合GPU高性能编程,提供实战样例程序,包含矩阵乘法,原子操作,热传导,多GPU,多流的代码(Combined with GPU high performance programming, it provides actual sample program, including matrix multiplication, atomic operation, heat conduction, multi GPU, and multi stream code.)