资源列表
MatrixMulTexture_kernel
- 基于GPU的并行编程，采用纹理实现两个矩阵相乘。自己写的程序。-This is a parallel program based GPU,which achieved two matrix multiplication with texture.It is mine.
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
dynamic-mandel
- 利用并行技术，动态的完成图的绘制，当slave完成一行的绘制，master会自动给出另一行的序号-The use of parallel technologies, the completion of the dynamic mapping, when the slave completed his drawing, master will automatically give another line of the serial number
ch1
- 应用C语言实现某一程序的算法，此算法简单，可读性强-Application of C language implementation of a program algorithm, this algorithm is simple, readable strong
ch2
- 应用C语言实现某一程序的算法，此算法简单，可读性强-Application of C language implementation of a program algorithm, this algorithm is simple, readable strong
ch3
- 应用C语言实现某一程序的算法，此算法简单，可读性强-Application of C language implementation of a program algorithm, this algorithm is simple, readable strong
ch4
- 应用C语言实现某一程序的算法，此算法简单，可读性强-Application of C language implementation of a program algorithm, this algorithm is simple, readable strong
XSort_Submit
- 归并排序的并行算法 intel 多线程优化大赛-Parallel merge sort algorithm
XSudoku
- 数独并行算法 intel 多线程优化大赛参赛作品，快速求解数独-Sudoku intel multi-threaded parallel algorithm optimization contest entries Express Solving Sudoku
XAmicableNum
- 相亲数和亲和数的快速并行求解算法 intel 多线程优化大赛参赛作品-Blind date a few and the pro-and several fast parallel algorithm optimization of multi-threading intel Competition entries
Mars_v2
- GPU实现的MapReduce framework,对于学习并行编程和cuda平台的编程方面有着极好的参考价值，里面附带论文。用户要求有NViDIA显卡，并且安装cuda编程环境。-We design and implement Mars, a MapReduce framework, on graphics processors (GPUs). MapReduce is a distributed programming framework originally proposed by
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)