资源列表
NDVI
- 利用CUDA实现了遥感数字影像处理基本算法植被指数,并分别实现了采用Globalmemory、Sharedmemory,Texturememory进行数据传输,还同CPU中的串行代码进行了时间比较和误差分析。为了方便在服务器环境下测试运行,我们去掉了在Windows环境下对第三方库遥感影像库GDAL的依赖,而将遥感影像数据转成了二进制图像格式,对于输出影像也以同样的二进制格式存储。图像效果图通过专业遥感软件PCI或通用图像处理软件PhotoshopCS4打开。最后我们对计算结果进行了误差分析和加
MPITutorial
- a document for self teaching MPI
baocunshijianshunu
- 查询时间段数据,关于数据库的,大家看看有用没-Query time data on the database, we did not look useful
reduce
- reduce function sample in parallel using mpi
send_col
- send_col in parellel mpi sample
send_col_to_row
- send col to row mpi sample parallel
send_row
- send row sample mpi parallel
serial_dot
- mpi serial dot parallel
sparse_row
- sparse_row parallel mpi sample
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
MainSystem
- 一个图书管理系统,C++的,希望大家喜欢。-A library management system, C++, and I hope everyone likes.
particle_neighbor_search_(latest_version)
- 介绍了如何在CUDA上搭建KD-TRIE,以及如何在CUDA上对其进行搜索和预处理,使其能适应解决粒子邻居搜索问题。-Describes how to build CUDA on KD-TRIE, and how to search them on CUDA and pre-treatment, so that it can adapt to solve the particle neighbor search problem.
