搜索资源列表
pthreadmatrix
- Pthread c++ 并行矩阵乘法 运行于linux操作系统 -Multi thread matrix multiplication in c++ with Pthread
Matrixmultiplication
- 矩阵乘法并行算法的MPI源程序，以文本文件形式输入输出-MPI parallel algorithm source code of Matrix multiplication,input and output in the form of txt files
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
Matrix-multiplication-using-MPI
- 基于C语言的，在大型并行机上使用MPI实现矩阵乘法-Matrix multiplication using MPI implementations
matrix-multiplication-based-OpenMp-
- 基于C语言的，在共享内存的并行机上使用OpenMP并行环境实现矩阵乘法-C-based, shared memory parallelism using OpenMP on a parallel machine environment to achieve the matrix multiplication
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
ssssss.cPP.tar
- 在MPI环境下关于用C++ 写的关于cannon的矩阵乘法算法-Matrix multiplication algorithm in the MPI environment cannon
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
matrix-multiplication
- c++编写的矩阵乘法的主从进程，用mpi实现-c++ prepared from the master matrix multiplication process, achieved with mpi
matrix_multiple
- c代码功能：实现较为简单的矩阵乘法的mpi并行实现，适合初学者-c code functions: to achieve a relatively simple matrix multiplication mpi parallel implementation, suitable for beginners
MPI-and-OpenMP-parallel-programming
- 《MPI与OpenMP并行程序设计(C语言版)》是美国Oregon州立大学的Michael J.Quinn教授在多年讲授“并行程序设计”课程的基础上编写而成的，主要介绍用C语言，并结合使用MPI和OpenMP进行并行程序设计，内容包括并行体系结构、并行算法设计、消息传递编程、Eratosthenes 筛法、Floyd 算法、性能分析、矩阵向量乘法、文档分类、蒙特卡洛法、矩阵乘法、线性方程组求解、有限差分方法、排序、快速傅立叶变换、组合搜索、共享存储编程、融合OpenMP和MPI以及5个附录。-&
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