资源列表
MapCG
- mapreduce跟gpu的结合，可在cpu，也可在gpu上运行-combined with the gpu mapreduce can be cpu, gpu can also be run on
CUDA_Installation_Guide_Windows
- CUDA安装说明,PDF 文档，官方提供(CUDA installation menual. it's a pdf file provide by Nvdia)
mpi-20
- This document describes the MPI and MPI standards They are both extensions to the MPI standard The MPI part of the document contains clarications and corrections to the MPI standard and denes MPI The MPI part of the d
shuguang_parallel_programming
- 曙光并行程序设计的ppt 主要是有关mpi的，C或fortran实现，适合初学者-Ppt of parallel programming is mainly about mpi with C or fortran implementation, suitable for beginners
非常简单的计算器
- 本程序是一个非常简单的计算器；能实现基本的加、减、乘、除的功能. 运行环境：WINDOWS系列 缺点： 只能通过键盘等输入设备输入参与运算的数。 软件本身不带输入功能。 这里只是提供一种计算的方法，通过完善之后，可以用于带有计算器功能 的嵌入式产品的开发研究中。 程序有待改进；增加更多功能。（如上面提到的...）。 欢迎使用该软件，只作学习研究用，严禁用于任何商业用
matrixMul
- 基于最新一代通用GPU－－Geforce8800，在CUDA平台上开发的矩阵乘法的例子，比CPU版本性能有非常大的提高。保留了可执行程序-based on the latest generation of common GPU -- Geforce8800. CUDA platform in the development of the matrix multiplication example, than CPU performance version of a very big increa
MultiThreadProcess
- Windows多线程编程实例的多线程处理,一个简单的区间积分函数的实现。-Multi Thread programming project for multi thread Process。It s a simple example for get random returns a random integer between min and max data.
parallel-programming-with-mpi
- 并行计算的基本原理，及mpi编程实践详解-parallel computation with mpi
bandwidthTest
- 对基于最新一代通用GPU－－Geforce8800显存带宽的测试样例，对于通用计算而言，带宽的性能是至关重要的。-based on the latest generation of common GPU -- Geforce8800 memory bandwidth of the test sample. For general calculation, the performance bandwidth is essential.
parallel
- 一个并行粗糙集离散化算法，采用VC和MPI并行开发通信接口实现，目前速度最快的离散化算法。-A parallel algorithm for discretization of rough sets, using VC, and MPI parallel development of communication interfaces, the fastest of the discrete algorithm.
PARALEL
- 并行算法实现，数据挖掘相关 并行算法实现，数据挖掘相关-Parallel algorithms, data mining-related parallel algorithms, data mining-related
An-Introduction-to-GPGPU-Programming
- Nvidia资深工程师编写的CUDA入门书籍，非常简明清晰。是快速掌握CUDA并行计算精髓的小手册！-Nvidia CUDA senior engineers started writing the book, very clear and concise. CUDA parallel computing is to grasp the essence of the booklet!