搜索资源列表
Exercises.zip
- cuda基本程序：矩阵转置的较优实现等 ,basic code for cuda
nbody
- N-Body 利用cuda的模拟 Fast N-Body Simulation with CUDA-Fast N-Body Simulation with CUDA
MonteCarlo
- 采用GPU通用计算API（CUDA）实现蒙特卡罗方程。-The use of general-purpose GPU computing API (CUDA) the realization of the Monte Carlo equation.
jacobi
- 本程序采用并行方法实现jacobi迭代算法，采用VC2005结合openmp编写-This procedure jacobi method using parallel iterative algorithm using OpenMP VC2005 combines the preparation of
BFS_CUDA
- 用CUDA实现BFS算法源码。CUDA是NV公司基于GPU的统一计算架构，BFS复杂度由CPU上的O(V+E)降为O(diameter)，直径diameter即图中root到leaf的最长距离。-This is the algorithm of BFS(breadth first search) on CUDA, and its time complexity is down to O(diameter) which diameter means the longest distance bet
transpose
- cuda平台开发的矩阵变换并行操作（Matrix transpose），属于cuda sdk中的内容-Small Matrix transpose with Cuda (Example for a 16x16 matrix)
eigenvalues
- cuda编程，并行计算N体问题。cuda programming, parallel computing N-body problem.-cuda programming, parallel computing N-body problem.
MPI-CUDA-LSQR
- An MPI-CUDA Implementation and Optimization for Parallel Sparse Equations and Least Squares (LSQR)
3D_Matrix
- 简单3维矩阵相乘的cuda+MPI异构混合实现-Simple cuda+MPI heterogeneous mix to achieve a three-dimensional matrix multiplication
petsc-3.6.3
- PETSc, pronounced PET-see (the S is silent), is a suite of data structures and routines for the scalable (parallel) solution of scientific applications modeled by partial differential equations. It supports MPI, and GPUs through CUDA or OpenCL, as we
MPI-CUDA-programming
- MPI CUDA programming
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)